High-traversability and efficient path optimization for deep-sea mining vehicles considering complex seabed environmental factors

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class="f16">4.7</span> </span> <span class="mx-3"></span> <span class="tag">Article</span> </div> <h1 class="title title-for-article"> High-traversability and efficient path optimization for deep-sea mining vehicles considering complex seabed environmental factors </h1> <div class="help-links-left"> <p class="pub-info"> OCEAN ENGINEERING (2024) </p> </div> </div> </div> <div id="article-sticky-navbar"> <div class="container"> <div class="d-flex justify-content-between flex-wrap flex-md-nowrap"> <div class="d-flex align-items-center mb-2"> <ul class="nav nav-underline f16 font-weight-bold"> <li class="active"> <a href="javascript:;"> Overview </a> </li> <li class=""> <a href="https://www.peeref.com/works/83855451/comments"> Write a Review </a> </li> </ul> </div> <div class="d-flex align-items-center justify-content-md-end flex-wrap flex-md-nowrap"> <div class="mr-3 mt-3 mt-md-0 flex-shrink-0"> <a href="https://doi.org/10.1016/j.oceaneng.2024.119500" target="_blank" class="btn 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Traversability assessment; Novel map model; Enhanced A* algorithm </div> </div> <div class="mb-3 pb-3"> <h4 class="mt-0">Categories</h4> <div class="f16"> <span class="d-block"> <a href="https://www.peeref.com/works/list?category=Engineering%2C+Marine" target="_blank" class="text-dark btn btn-link p-0 text-left"> Engineering, Marine </a> </span> <span class="d-block"> <a href="https://www.peeref.com/works/list?category=Engineering%2C+Civil" target="_blank" class="text-dark btn btn-link p-0 text-left"> Engineering, Civil </a> </span> <span class="d-block"> <a href="https://www.peeref.com/works/list?category=Engineering%2C+Ocean" target="_blank" class="text-dark btn btn-link p-0 text-left"> Engineering, Ocean </a> </span> <span class="d-block"> <a href="https://www.peeref.com/works/list?category=Oceanography" target="_blank" class="text-dark btn btn-link p-0 text-left"> Oceanography </a> </span> </div> </div> <div class="mb-3 pb-3"> <h4 class="mt-0">Funding</h4> <div class="f16"> <ol class=""> <li>State Key laboratory of Ocean Engineering</li> <li>Yazhou Bay Institute of Deepsea SCI-TECH</li> <li>Institute of Marine Equipment</li> <li>Hainan Provincial Joint Project of Sanya Yazhou Bay Science and Technology City [2021JJLH0001]</li> <li>Science and Technology Committee Shanghai Municipality [19DZ1207300]</li> <li>Research on human-machine collaborative trajectory planning and control of deep-sea mining vehicles based on virtual potential field [Hnky2024-94_]</li> <li>China Scholarship Council</li> <li>Major Projects of Strategic Emerging Industries in Shanghai [BH3230001]</li> </ol> </div> </div> </div> <div class="f15 panel-box rounded shadow-none border"> <h4 class="mt-0 text-center">Ask authors/readers for more resources</h4> <div class="requests"> <div class="requests-item"> <div class="icon"> <img src="https://peeref-open.s3.amazonaws.com/images/file.png" alt=""> </div> <h4>Protocol</h4> <p> <a href="https://www.peeref.com/works/83855451/resource" class="btn 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shadow-none"> <div class="f16">This paper proposes a High-Traversability and Efficient Path Optimization (HTEPO) strategy for the path planning of Deep-Sea Mining Vehicles (DSMVs) in cobalt-rich crust regions. The strategy combines the Analytic Hierarchy Process (AHP) and the Fuzzy Comprehensive Evaluation (FCE) method for traversability assessment, introduces a novel map model and an enhanced A* algorithm for efficient path planning, and validates the superiority of the proposed method through case studies.</div> </div> </div> <div id="raw_abstract" class="tab-pane "> <div class="abstract-panel panel-box mb-0 rounded shadow-none"> <div class="f16">In cobalt-rich crust regions, rapid and safe pathfinding is critical for the operation of Deep-Sea Mining Vehicles (DSMVs). However, existing pathfinding solutions rarely account for traversability predictions in complex mining environments and extensive map data often results in computational inefficiencies. This paper proposes a High-Traversability and Efficient Path Optimization (HTEPO) strategy designed to ensure safe navigation and rapid decision-making accounting for complex seabed environmental factors. Initially, we develop a traversability assessment model combining the Analytic Hierarchy Process (AHP) with the Fuzzy Comprehensive Evaluation (FCE) method. This model assigns traversability scores to map out high-risk and impassable areas effectively. We then introduce a novel map model that integrates these scores with Voronoi diagrams to reduce search space and improve computing efficiency, ensuring safer route selections. Further, based on traversability index and map model, an enhanced A* algorithm equipped with adaptive heuristic weights is utilized to swiftly identify high-traversability paths for the DSMVs. Finally, three case studies with different seabed mining environments validate the excellent performance of the proposed method over other major existing methods in terms of path safety and computational efficiency.</div> </div> </div> </div> </div> <div class="f15 panel-box rounded shadow-none border"> <h4 class="mt-0 heading-count">Authors</h4> <div class="mb-3"> <article-authors tid="83855451" list="[{"name":"Changyu Lu","sequence":1},{"name":"Jianmin Yang","sequence":2},{"name":"Bernt J. Leira","sequence":3},{"name":"Roger Skjetne","sequence":4},{"name":"Jinghang Mao","sequence":5},{"name":"Qihang Chen","sequence":6},{"name":"Wenhao Xu","sequence":7}]" verified="[]" page="work" ></article-authors> </div> <div class="alert alert-warning mb-0"> <h5 class="mt-0 bg-warning text-dark px-3 rounded d-inline-block"> I am an author on this paper </h5> <div class="font-weight-bold f13"> Click your name to claim this paper and add it to your profile. </div> </div> </div> <div class="f15 panel-box rounded shadow-none border"> <h4 class="mt-0 heading-count">Reviews</h4> <div class="d-flex flex-wrap flex-md-nowrap"> <div class="flex-grow-1"> <h4 class="f16"> Primary Rating <a href="javascript:;" data-toggle="tooltip" data-placement="right" title="The primary rating indicates the level of overall quality for the paper."> <i class="ivu-icon ivu-icon-md-help-circle f18 ml-2"></i> </a> </h4> <div class="d-flex flex-wrap flex-md-nowrap align-items-center alert mb-0"> <div class="d-flex align-items-center justify-content-center"> <Rate disabled allow-half value="4.7" style="font-size: 28px;"></Rate> <strong class="f20 m-3" style="color: #f5a623;">4.7</strong> </div> <div class="text-muted mx-4"> Not enough ratings </div> </div> <h4 class="f16"> Secondary Ratings <a href="javascript:;" data-toggle="tooltip" data-placement="right" title="Secondary ratings independently reflect strengths or weaknesses of the paper."> <i class="ivu-icon ivu-icon-md-help-circle f18 ml-2"></i> </a> </h4> <div class="d-flex flex-wrap flex-md-nowrap alert"> <div class="d-flex flex-shrink-0 align-items-center mr-3"> <h5 class="my-0">Novelty</h5> <strong class="mx-4">-</strong> </div> <div class="d-flex flex-shrink-0 align-items-center mr-3"> <h5 class="my-0">Significance</h5> <strong class="mx-4">-</strong> </div> <div class="d-flex flex-shrink-0 align-items-center mr-3"> <h5 class="my-0">Scientific rigor</h5> <strong class="mx-4">-</strong> </div> </div> </div> <div class="flex-shrink-0"> <div class="border bg-light py-2 px-4"> <h5 class="mb-1">Rate this paper</h5> <Rate class="f24" @on-change="function(value){ location.href='https://www.peeref.com/works/83855451/comments?rating='+value }"></Rate> </div> </div> </div> </div> <div id="collection" class="f15 panel-box rounded shadow-none border"> <h4 class="mt-0 heading-count">Recommended</h4> <div class="my-3"> <ul class="nav nav-pills border-bottom pb-3" style="list-style: none; padding-left: 0;"> <li class="active"> <a href="#articles_from_related" data-toggle="tab" class="mx-0 f15"> <strong>Related</strong> </a> </li> <li class=""> <a href="#articles_from_authors" data-toggle="tab" class="mx-0 f15"> <strong>From Same Authors</strong> </a> </li> <li class=""> <a href="#articles_from_journal" data-toggle="tab" class="mx-0 f15"> <strong>From Same Journal</strong> </a> </li> </ul> <div class="tab-content"> <div id="articles_from_related" class="tab-pane active"> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Engineering, Marine </span> </div> <h4> <a href="https://www.peeref.com/works/81922904" class="text-dark hover-underline">An enhanced ant colony optimization algorithm for global path planning of deep-sea mining vehicles</a> </h4> <p class="text-ellipsis-2">Weixing Liang, Min Lou, Zhangxing Chen, Huiyang Qin, Chen Zhang, Chengwei Cui, Yangyang Wang</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/6334.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded" style="background-color: #e8f3ff;"> <strong>Summary:</strong> This paper proposes an improved ant colony algorithm, DYACO, for optimizing the path of mining vehicles in deep-sea mining areas with complex slopes. 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The algorithm constructs a multi-objective optimization mathematical model and achieves global optimization through the IPSO algorithm. Experimental results show that the path planned by this algorithm performs well in terms of path length, terrain undulation, energy consumption, and safety. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">JOURNAL OF MARINE SCIENCE AND ENGINEERING</span> (2023) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/28914805/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Chemistry, Analytical </span> </div> <h4> <a href="https://www.peeref.com/works/26732024" class="text-dark hover-underline">End-to-End One-Shot Path-Planning Algorithm for an Autonomous Vehicle Based on a Convolutional Neural Network Considering Traversability Cost</a> </h4> <p class="text-ellipsis-2">Tongfei Bian, Yang Xing, Argyrios Zolotas</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/7473.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded" style="background-color: #e8f3ff;"> <strong>Summary:</strong> Path planning is crucial for robotics and automated driving. This study presents an end-to-end path-planning algorithm based on a fully convolutional neural network, which can quickly calculate the optimal path with high success rates and accuracy. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">SENSORS</span> (2022) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/26732024/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Engineering, Marine </span> </div> <h4> <a href="https://www.peeref.com/works/21940774" class="text-dark hover-underline">An Integrated Dynamic Model and Optimized Fuzzy Controller for Path Tracking of Deep-Sea Mining Vehicle</a> </h4> <p class="text-ellipsis-2">Yu Dai, Cong Xue, Qiao Su</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/10752.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded" style="background-color: #e8f3ff;"> <strong>Summary:</strong> The study investigates the vehicle-sediment mechanical interaction through experiments, establishing CFD and MBD models for the vehicle. A path-tracking controller based on fuzzy logic control is proposed and optimized using a genetic algorithm. Results indicate that the optimized fuzzy controller performs better than the original one in moving the vehicle along the expected path. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">JOURNAL OF MARINE SCIENCE AND ENGINEERING</span> (2021) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/21940774/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Computer Science, Hardware & Architecture </span> </div> <h4> <a href="https://www.peeref.com/works/26469124" class="text-dark hover-underline">A novel hybrid Chaotic Aquila Optimization algorithm with Simulated Annealing for Unmanned Aerial Vehicles path planning</a> </h4> <p class="text-ellipsis-2">Amylia Ait-Saadi, Yassine Meraihi, Assia Soukane, Amar Ramdane-Cherif, Asma Benmessaoud Gabis</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/2004.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded" style="background-color: #e8f3ff;"> <strong>Summary:</strong> This paper presents a hybrid optimization scheme based on the hybridization of Chaotic Aquila Optimization with Simulated Annealing for solving the Unmanned Aerial Vehicles path planning problem. The experimental results demonstrate that the proposed algorithm performs better compared to nine well-known meta-heuristics in most scenarios. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">COMPUTERS & ELECTRICAL ENGINEERING</span> (2022) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/26469124/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Computer Science, Interdisciplinary Applications </span> </div> <h4> <a href="https://www.peeref.com/works/26469543" class="text-dark hover-underline">ACO plus PSO plus A*: A bi-layer hybrid algorithm for multi-task path planning of an AUV</a> </h4> <p class="text-ellipsis-2">Fuli Sui, Xiaoke Tang, Zihao Dong, Xingjia Gan, Peng Luo, Jing Sun</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/2008.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded" style="background-color: #e8f3ff;"> <strong>Summary:</strong> This paper proposes a bi-level multi-objective path planning model for autonomous underwater vehicles (AUVs), and develops a hybrid algorithm combining ant colony optimization (ACO), particle swarm optimization (PSO), and A* algorithm to solve the problem. Experimental results show that the proposed algorithm can generate an optimal collision-free path with shorter length and higher security, compared to other algorithms. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">COMPUTERS & INDUSTRIAL ENGINEERING</span> (2023) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/26469543/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Computer Science, Artificial Intelligence </span> </div> <h4> <a href="https://www.peeref.com/works/25872414" class="text-dark hover-underline">A novel automated CNN arrhythmia classifier with memory-enhanced artificial hummingbird algorithm</a> </h4> <p class="text-ellipsis-2">Evren Kiymac, Yasin Kaya</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/2799.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded" style="background-color: #e8f3ff;"> <strong>Summary:</strong> A novel method is proposed in this study for the automatic classification of cardiac arrhythmias. The method utilizes a memory-enhanced artificial hummingbird algorithm for hyperparameter optimization and introduces a new fitness function. Experimental results show that the proposed method achieves promising performance in terms of classification accuracy and can find high-performing solutions with relatively lower complexity. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">EXPERT SYSTEMS WITH APPLICATIONS</span> (2023) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/25872414/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Environmental Sciences </span> </div> <h4> <a href="https://www.peeref.com/works/83655225" class="text-dark hover-underline">Framework for multivariate carbon price forecasting: A novel hybrid model</a> </h4> <p class="text-ellipsis-2">Xuankai Zhang, Ying Zong, Pei Du, Shubin Wang, Jianzhou Wang</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/4483.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded" style="background-color: #e8f3ff;"> <strong>Summary:</strong> This study proposes a new hybrid model for multivariate carbon price forecasting, including feature selection and other steps. Experimental results show that the model has high prediction accuracy and good stability, and can also be applied to European carbon market price prediction and quantitative trading simulation. The model can provide price predictions for decision-makers and help investors optimize their strategies. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">JOURNAL OF ENVIRONMENTAL MANAGEMENT</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83655225/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Multidisciplinary Sciences </span> </div> <h4> <a href="https://www.peeref.com/works/82848344" class="text-dark hover-underline">Quantum-enhanced greedy combinatorial optimization solver</a> </h4> <p class="text-ellipsis-2">Maxime Dupont, Bram Evert, Mark J. Hodson, Bhuvanesh Sundar, Stephen Jeffrey, Yuki Yamaguchi, Dennis Feng, Filip B. Maciejewski, Stuart Hadfield, M. Sohaib Alam, Zhihui Wang, Shon Grabbe, P. Aaron Lott, Eleanor G. Rieffel, Davide Venturelli, Matthew J. Reagor</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/10342.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded" style="background-color: #e8f3ff;"> <strong>Summary:</strong> Quantum algorithms have potential in combinatorial optimization, but noise is a challenge. A new quantum heuristic optimization algorithm is introduced and implemented on a superconducting quantum system. It outperforms the classical algorithm and has comparable performance to a semidefinite programming method. However, improving quantum device characteristics is still a key challenge for achieving quantum advantage. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">SCIENCE ADVANCES</span> (2023) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/82848344/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Green & Sustainable Science & Technology </span> </div> <h4> <a href="https://www.peeref.com/works/23599397" class="text-dark hover-underline">Prospective life cycle assessment of metal commodities obtained from deep-sea polymetallic nodules</a> </h4> <p class="text-ellipsis-2">R. A. F. Alvarenga, N. Preat, C. Duhayon, J. Dewulf</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/4302.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded" style="background-color: #e8f3ff;"> <strong>Summary:</strong> Sustainable metal supply is crucial for achieving climate and sustainability goals. The exploitation of deep-sea polymetallic nodules has the potential to contribute significantly to this supply. A life cycle assessment (LCA) comparing deep-sea-sourced commodities to terrestrial mining products found that the former can bring environmental gains of up to 38% for climate change and 72% for acidification. Strategic selection of onshore processing location is important for cleaner production. However, the results should be interpreted with caution due to limitations of the LCA study. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">JOURNAL OF CLEANER PRODUCTION</span> (2022) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/23599397/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Chemistry, Multidisciplinary </span> </div> <h4> <a href="https://www.peeref.com/works/83164763" class="text-dark hover-underline">Operational Risk Assessment of Engineering Vehicles Considering Driver Characteristics</a> </h4> <p class="text-ellipsis-2">Shouming Qi, Jun Teng, Xi Zhang, Ao Zheng</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/9954.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded" style="background-color: #e8f3ff;"> <strong>Summary:</strong> This study focuses on the safety of engineering vehicles. By analyzing the driving characteristics of professional drivers, an evaluation index system and a risk assessment model are established. The model has high prediction accuracy, which is helpful to improve the safety level of engineering vehicles, reduce the accident rate and loss consequences, and has practical application value. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">APPLIED SCIENCES-BASEL</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83164763/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Engineering, Marine </span> </div> <h4> <a href="https://www.peeref.com/works/82472717" class="text-dark hover-underline">The Wide-Area Coverage Path Planning Strategy for Deep-Sea Mining Vehicle Cluster Based on Deep Reinforcement Learning</a> </h4> <p class="text-ellipsis-2">Bowen Xing, Xiao Wang, Zhenchong Liu</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/10752.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded" style="background-color: #e8f3ff;"> <strong>Summary:</strong> This paper proposes a cluster-coverage path planning strategy for deep-sea mining vehicles based on traditional algorithms and DQN. By modeling the environment, decomposing the map, and optimizing the algorithm, it improves the security and coverage of the deep-sea mining system. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">JOURNAL OF MARINE SCIENCE AND ENGINEERING</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/82472717/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Computer Science, Artificial Intelligence </span> </div> <h4> <a href="https://www.peeref.com/works/83109725" class="text-dark hover-underline">A deep recurrent reinforcement learning approach for enhanced MPPT in PV systems</a> </h4> <p class="text-ellipsis-2">Archit Wadehra, Siddhant Bhalla, Vicky Jaiswal, K. 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This performance improvement is attributed to the inclusion of long short-term memory, which enables the agent to retain past information and make more informed decisions. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">APPLIED SOFT COMPUTING</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83109725/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Mathematics </span> </div> <h4> <a href="https://www.peeref.com/works/24167163" class="text-dark hover-underline">Location-Routing Problem of Emergency Facilities under Uncertain Demand by Branch-Price and Cut</a> </h4> <p class="text-ellipsis-2">Xuchen Deng</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/11095.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded" style="background-color: #e8f3ff;"> <strong>Summary:</strong> This paper studies the location-routing problem of emergency facilities with time window under demand uncertainty and proposes a robust mathematical model to address uncertain requirements. Through simulations, it is demonstrated that the robust model provides better protection against demand uncertainty compared to the deterministic problem. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">JOURNAL OF MATHEMATICS</span> (2021) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/24167163/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 "> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Computer Science, Interdisciplinary Applications </span> </div> <h4> <a href="https://www.peeref.com/works/82330725" class="text-dark hover-underline">A novel deep learning framework for landslide susceptibility assessment using improved deep belief networks with the intelligent optimization algorithm</a> </h4> <p class="text-ellipsis-2">Shaoqiang Meng, Zhenming Shi, Gang Li, Ming Peng, Liu Liu, Hongchao Zheng, Changshi Zhou</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/2015.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded" style="background-color: #e8f3ff;"> <strong>Summary:</strong> This study proposes a deep learning framework that combines the Laplace function sparse regularized continuous deep belief network, the Gray Wolf Optimization Algorithm, and the Whale Optimization Algorithm for landslide susceptibility assessment. The framework addresses the challenges of feature homogenization, limited landslide samples, and local optima in the training process. A database of 18 landslide conditioning factors was created using existing landslide occurrences, and a set of statistical indicators was used to compare the performance of the models. The results show that the LSCDBN-GWO and LSCDBN-WOA models perform better than the standalone LSCDBN model, and the LSCDBN model outperforms other machine learning and deep learning models. Therefore, the proposed LSCDBN-WOA framework can generate models that are optimally suited for landslide susceptibility assessment. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">COMPUTERS AND GEOTECHNICS</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/82330725/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> </div> <div id="articles_from_authors" class="tab-pane "> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Review </span> <span class="d-inline-block badge badge-cyan"> Engineering, Marine </span> </div> <h4> <a href="https://www.peeref.com/works/83150680" class="text-dark hover-underline">A Critical Review of Constitutive Models Applied to Ice-Crushing Simulations</a> </h4> <p class="text-ellipsis-2">Mojtaba Mokhtari, Bernt Johan Leira</p> <div class="d-flex mb-3"> <div class="p-3 rounded" style="background-color: #e8f3ff;"> <strong>Summary:</strong> This article focuses on the material models used in simulating ice loads in marine engineering. The emphasis is on the representation of ice strength envelopes and the effectiveness of plasticity and viscoelasticity models in capturing the rheology of ice. The use of flow rules and damage models in different models is also discussed. The review aims to shed light on the reasons for the differences between the models and to evaluate the advantages and limitations of the commonly used models. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">JOURNAL OF MARINE SCIENCE AND ENGINEERING</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83150680/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Engineering, Industrial </span> </div> <h4> <a href="https://www.peeref.com/works/83165905" class="text-dark hover-underline">Integrating physics-based simulations with gaussian processes for enhanced safety assessment of offshore installations</a> </h4> <p class="text-ellipsis-2">Mohammad Mahdi Abaei, Bernt Johan Leira, Svein Saevik, Ahmad BahooToroody</p> <div class="d-flex mb-3"> <div class="p-3 rounded" style="background-color: #e8f3ff;"> <strong>Summary:</strong> This paper proposes a model that combines physics-based simulations with Gaussian Processes to estimate peak loads in lifting wires. The advantage of this model is that it addresses the shorter simulation time while still maintaining the accuracy of predicting extreme response levels and quantifying the load uncertainty during the operation. Bayesian Inference is used to incorporate the uncertainty, estimate hyper-parameters, and predict peak loads for various marine environmental conditions. The results show good agreement with the simulations obtained from time-domain dynamic analysis. The current study provides insights for both onboard and pre-planned decision-making on installation conditions, thereby enhancing predictive accuracy and improving safety in complex marine lifting operations. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">RELIABILITY ENGINEERING & SYSTEM SAFETY</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83165905/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Engineering, Marine </span> </div> <h4> <a href="https://www.peeref.com/works/83709277" class="text-dark hover-underline">On Statistical Features of Ice Loads on Fixed and Floating Offshore Structures</a> </h4> <p class="text-ellipsis-2">Chana Sinsabvarodom, Bernt J. Leira, Knut V. Hoyland, Arvid Naess, Ilija Samardzija, Wei Chai, Siramas Komonjinda, Chatchawan Chaichana, Sheng Xu</p> <div class="d-flex mb-3"> <div class="p-3 rounded" style="background-color: #e8f3ff;"> <strong>Summary:</strong> This paper reviews existing probabilistic models of sea ice for estimating the uncertainty of ice loading on various offshore structures. It emphasizes the significance of sea ice in design loads and the recent increase in probabilistic studies. The application of probabilistic models in the assessment of vertical and sloping structures is discussed, along with the use of the ice resistance method for floating vessels. Key parameters of sea ice properties and the effect of their correlation are also studied. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">JOURNAL OF MARINE SCIENCE AND ENGINEERING</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83709277/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Engineering, Marine </span> </div> <h4> <a href="https://www.peeref.com/works/23772048" class="text-dark hover-underline">Probabilistic fatigue model for design and life extension of mooring chains, including mean load and corrosion effects</a> </h4> <p class="text-ellipsis-2">Erling N. Lone, Thomas Sauder, Kjell Larsen, Bernt J. Leira</p> <div class="d-flex mb-3"> <div class="p-3 rounded" style="background-color: #e8f3ff;"> <strong>Summary:</strong> A probabilistic model based on the S-N approach is developed to study mooring chain fatigue damage. The model considers the effects of mean load and corrosion condition on the fatigue capacity of the chains and can address the uncertainties and time dependencies associated with them. Uncertainties in fatigue loads, including annual variability, are also taken into account. The model distinguishes between damage due to known loads and unknown loads, allowing for reduced uncertainties in case load history is available. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">OCEAN ENGINEERING</span> (2022) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/23772048/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Review </span> <span class="d-inline-block badge badge-cyan"> Engineering, Marine </span> </div> <h4> <a href="https://www.peeref.com/works/25613851" class="text-dark hover-underline">State-of-the-Art Review of Vortex-Induced Motions of Floating Offshore Wind Turbine Structures</a> </h4> <p class="text-ellipsis-2">Decao Yin, Elizabeth Passano, Fengjian Jiang, Halvor Lie, Jie Wu, Naiquan Ye, Svein Saevik, Bernt J. Leira</p> <div class="d-flex mb-3"> <div class="p-3 rounded" style="background-color: #e8f3ff;"> <strong>Summary:</strong> This study conducted a state-of-the-art review on influential VIM research, focusing on engineering practice, model tests, numerical calculation, and field measurement. Engineering gaps and potential research topics were identified for future work. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">JOURNAL OF MARINE SCIENCE AND ENGINEERING</span> (2022) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/25613851/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Engineering, Marine </span> </div> <h4> <a href="https://www.peeref.com/works/22718657" class="text-dark hover-underline">A benchmarking exercise for environmental contours</a> </h4> <p class="text-ellipsis-2">Andreas F. Haselsteiner, Ryan G. Coe, Lance Manuel, Wei Chai, Bernt Leira, Guilherme Clarindo, C. Guedes Soares, Asta Hannesdottir, Nikolay Dimitrov, Aljoscha Sander, Jan-Hendrik Ohlendorf, Klaus-Dieter Thoben, Guillaume de Hauteclocque, Ed Mackay, Philip Jonathan, Chi Qiao, Andrew Myers, Anna Rode, Arndt Hildebrandt, Boso Schmidt, Erik Vanem, Arne Bang Huseby</p> <div class="d-flex mb-3"> <div class="p-3 rounded" style="background-color: #e8f3ff;"> <strong>Summary:</strong> This paper presents the results of an open benchmarking exercise where different environmental contour methods were blindly compared. The analysis showed significant differences between contours derived via different methods, with variability mainly arising from different joint distribution models and contour construction methods. The highest wave height value along a contour and the number of metocean data points outside a contour differed significantly between submissions. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">OCEAN ENGINEERING</span> (2021) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/22718657/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Chemistry, Multidisciplinary </span> </div> <h4> <a href="https://www.peeref.com/works/22912824" class="text-dark hover-underline">On Characteristics of Ice Ridges and Icebergs for Design of Ship Hulls in Polar Regions Based on Environmental Design Contours</a> </h4> <p class="text-ellipsis-2">Bernt J. Leira, Wei Chai, Gowtham Radhakrishnan</p> <div class="d-flex mb-3"> <div class="p-3 rounded" style="background-color: #e8f3ff;"> <strong>Summary:</strong> Ice ridges and icebergs pose a major threat to ships and offshore facilities in Polar regions, influencing structural design loads. The environmental contour method can help reduce the number of relevant load cases by considering the statistical properties of key parameters and generating different forms of environmental contours. Additionally, the correlation between basic parameters and the effect of increasing encounter frequencies on design parameter values are studied. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">APPLIED SCIENCES-BASEL</span> (2021) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/22912824/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Engineering, Industrial </span> </div> <h4> <a href="https://www.peeref.com/works/23831959" class="text-dark hover-underline">Effect of environmental modelling and inspection strategy on the optimal design of floating wind turbines</a> </h4> <p class="text-ellipsis-2">John Marius Hegseth, Erin E. Bachynski, Bernt J. Leira</p> <div class="d-flex mb-3"> <div class="p-3 rounded" style="background-color: #e8f3ff;"> <strong>Summary:</strong> In this study, a linearized dynamic model was used along with Monte Carlo simulations and numerical design optimization procedures to evaluate the impact of wind and wave load descriptions on fatigue reliability and optimal design of a floating wind turbine. Analysis was conducted at a real wind farm site, showing a redesign with a full environmental model can reduce CAPEX by 11% and achieve consistent reliability levels along the tower length. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">RELIABILITY ENGINEERING & SYSTEM SAFETY</span> (2021) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/23831959/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Engineering, Civil </span> </div> <h4> <a href="https://www.peeref.com/works/20186815" class="text-dark hover-underline">Software-to-Software Comparison of End-Anchored Floating Bridge Global Analysis</a> </h4> <p class="text-ellipsis-2">Thomas Viuff, Xu Xiang, Bernt Johan Leira, Ole Oiseth</p> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">JOURNAL OF BRIDGE ENGINEERING</span> (2020) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/20186815/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 "> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Construction & Building Technology </span> </div> <h4> <a href="https://www.peeref.com/works/6036834" class="text-dark hover-underline">Reliability Assessment of a Bridge Structure Subjected to Chloride Attack</a> </h4> <p class="text-ellipsis-2">Bernt J. Leira, Sebastian Thons, Michael H. Faber</p> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">STRUCTURAL ENGINEERING INTERNATIONAL</span> (2018) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/6036834/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> </div> <div id="articles_from_journal" class="tab-pane "> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Engineering, Marine </span> </div> <h4> <a href="https://www.peeref.com/works/83141857" class="text-dark hover-underline">Fixed-time dynamic event-triggered three-dimensional formation control for multi-AUV system with disturbance observer</a> </h4> <p class="text-ellipsis-2">Zhuo Wang, Yingxuan Wang, Yanchao Sun, Hongde Qin</p> <div class="d-flex mb-3"> <div class="p-3 rounded" style="background-color: #e8f3ff;"> <strong>Summary:</strong> This paper presents a control strategy for multi-AUV formation system, using fixed-time observer and dynamic event-triggered mechanism to address uncertainties, disturbances, and limited communication resources, achieving stable control and saving communication resources, and validates the feasibility of the strategy through simulation. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">OCEAN ENGINEERING</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83141857/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Engineering, Marine </span> </div> <h4> <a href="https://www.peeref.com/works/83095904" class="text-dark hover-underline">Underwater fluid-driven soft dock for dynamic recovery of AUVs with improved pose tolerance</a> </h4> <p class="text-ellipsis-2">Mingwei Lin, Anzhe Yi, Ri Lin, Xin Wu, Bohao He, Bolun Zhang, Canjun Yang</p> <div class="d-flex mb-3"> <div class="p-3 rounded" style="background-color: #e8f3ff;"> <strong>Summary:</strong> This study proposes an in-situ fluid-driven soft docking system for recovering autonomous underwater vehicles (AUVs). The system consists of three soft robotic manipulators with guiding, capturing, and securing functionalities. By analyzing the theoretically allowable docking pose deviation range and evaluating the required force of the soft grippers, a hydraulic control method based on attitude and pressure feedback is designed to achieve dynamic recovery of AUVs. The test results show that the system operates well under an external pressure of no less than 11 MPa, with a success rate of 90% and a maximum AUV velocity of 1.6 m/s. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">OCEAN ENGINEERING</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83095904/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Engineering, Marine </span> </div> <h4> <a href="https://www.peeref.com/works/83736870" class="text-dark hover-underline">Frequency optimization of the AUV wireless charging system for minimum energy dissipation</a> </h4> <p class="text-ellipsis-2">Ri Lin, Mingwei Lin, Canjun Yang, Dejun Li, Zhuoyu Zhang</p> <div class="d-flex mb-3"> <div class="p-3 rounded" style="background-color: #e8f3ff;"> <strong>Summary:</strong> This paper studies a self-powered docking system for AUV recovery and charging. By analyzing the eddy current loss of coils in seawater, a method for calculating the equivalent eddy current impedance is proposed, which transforms the energy loss analysis from the magnetic field to circuit analysis. Then a frequency optimization method is proposed to reduce the energy loss during AUV battery charging. Finally, the effectiveness of the method and the feasibility of the system operating in seawater are verified through experiments. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">OCEAN ENGINEERING</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83736870/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Engineering, Marine </span> </div> <h4> <a href="https://www.peeref.com/works/83063186" class="text-dark hover-underline">A novel regional ship collision risk assessment framework for multi-ship encounters in complex waters</a> </h4> <p class="text-ellipsis-2">Changhai Huang, Xueyan Wang, Hanyu Wang, Jialong Kong, Jingen Zhou</p> <div class="d-flex mb-3"> <div class="p-3 rounded" style="background-color: #e8f3ff;"> <strong>Summary:</strong> This study proposes a regional ship collision risk assessment framework, including three models, to address the issue of precise quantification and identification of collision hotspots in complex waters. The framework is validated using AIS data from the Yangtze River estuary, and the results show that it can accurately measure and identify ship collision risks, providing valuable information and suggestions for maritime authorities. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">OCEAN ENGINEERING</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83063186/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Engineering, Marine </span> </div> <h4> <a href="https://www.peeref.com/works/83736526" class="text-dark hover-underline">Scours effects on the lateral bearing capacity of monopile-friction wheel composite foundations in sand-overlaying-clay deposit</a> </h4> <p class="text-ellipsis-2">Shun Chen, Xinjun Zou, Lanyi Huang, Minhua Zhou</p> <div class="d-flex mb-3"> <div class="p-3 rounded" style="background-color: #e8f3ff;"> <strong>Summary:</strong> This study investigates the influence of local scour in sand-overlaying-clay deposit on the lateral bearing capacity of monopile-friction wheel composite foundations. The results show that the scour depth has a significant impact on the bearing capacity, while the scour extent and angle have relatively minor effects. Additionally, the thickness of the overlying sandy layer and the loading point height also affect the lateral bearing capacity and deformation of the foundation. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">OCEAN ENGINEERING</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83736526/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Review </span> <span class="d-inline-block badge badge-cyan"> Engineering, Marine </span> </div> <h4> <a href="https://www.peeref.com/works/83134920" class="text-dark hover-underline">Underwater visual surveillance: A comprehensive survey</a> </h4> <p class="text-ellipsis-2">Deepak Kumar Rout, Meghna Kapoor, Badri Narayan Subudhi, Veerakumar Thangaraj, Vinit Jakhetiya, Ankur Bansal</p> <div class="d-flex mb-3"> <div class="p-3 rounded" style="background-color: #e8f3ff;"> <strong>Summary:</strong> This article reviews the underwater surveillance process and its new trends, introduces its potential applications and challenges, such as light degradation and unclear scenes. The article classifies underwater surveillance into three parts: enhancement, object detection, and object tracking, and describes each part in detail. In addition, the article summarizes the challenges of existing underwater surveillance databases and discusses future research directions. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">OCEAN ENGINEERING</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83134920/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Engineering, Marine </span> </div> <h4> <a href="https://www.peeref.com/works/83136550" class="text-dark hover-underline">Predefined-time prescribed performance second-order sliding mode path following control for underactuated marine surface vehicles using self-structuring NN</a> </h4> <p class="text-ellipsis-2">Haitao Liu, Xuecheng Zhou, Xuehong Tian, Qingqun Mai, Ning Sun</p> <div class="d-flex mb-3"> <div class="p-3 rounded" style="background-color: #e8f3ff;"> <strong>Summary:</strong> This paper proposes a second-order sliding mode controller for path following of underactuated marine surface vehicles with unknown external disturbances based on predefined time predictor line-of-sight guidance. The controller combines the advantages of predefined time control and second-order sliding mode control to achieve precise path following while ensuring system stability. The effectiveness of the proposed method is verified by numerical simulations. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">OCEAN ENGINEERING</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83136550/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Engineering, Marine </span> </div> <h4> <a href="https://www.peeref.com/works/83010764" class="text-dark hover-underline">Lyapunov-based model predictive control for trajectory tracking of hovercraft with actuator constraints and external disturbances</a> </h4> <p class="text-ellipsis-2">Yuanhui Wang, Haolun Zhang</p> <div class="d-flex mb-3"> <div class="p-3 rounded" style="background-color: #e8f3ff;"> <strong>Summary:</strong> This study proposes a Lyapunov-based model predictive control method to address the trajectory tracking problem of autonomous hovercrafts. The method combines rolling optimization and online optimization, and designs a nonlinear disturbance observer to estimate external disturbances. The nonlinear backstepping control method is used to ensure control stability. Numerical simulations demonstrate the superiority and robustness of the proposed method. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">OCEAN ENGINEERING</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83010764/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Engineering, Marine </span> </div> <h4> <a href="https://www.peeref.com/works/83005505" class="text-dark hover-underline">Analyzing ship collision accidents in China: A framework based on the N-K model and Bayesian networks</a> </h4> <p class="text-ellipsis-2">Xiangkun Meng, Hongqiang Li, Wenjun Zhang, Xiang-Yu Zhou, Xue Yang</p> <div class="d-flex mb-3"> <div class="p-3 rounded" style="background-color: #e8f3ff;"> <strong>Summary:</strong> This study proposes a quantitative coupling risk assessment method for collisions based on the N-K model and Bayesian networks, by analyzing accident reports from the China Maritime Safety Administration. Four primary risk factors are identified and the coupling degree and collision risk between them are quantified. The study finds that multi-factor coupling has a higher occurrence probability than two-factor coupling, and human and management factors play a key role in collision incidents, while the impact of ship and environmental factors on coupling becomes more pronounced with their probability changes. The method can provide suggestions for practitioners to formulate risk management strategies and measures to enhance maritime safety. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">OCEAN ENGINEERING</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83005505/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Engineering, Marine </span> </div> <h4> <a href="https://www.peeref.com/works/83121692" class="text-dark hover-underline">Photoacoustic imaging-based in situ biofouling monitoring in underwater optical windows-A novel approach</a> </h4> <p class="text-ellipsis-2">Qinglin Kong, Shanshan Zheng, Xingkui Yan, Liang Zheng, Yingdong Yang, Yunzhou Li</p> <div class="d-flex mb-3"> <div class="p-3 rounded" style="background-color: #e8f3ff;"> <strong>Summary:</strong> This study investigated the use of photoacoustic imaging technology for in situ monitoring of marine biofouling in optical windows. Through experiments, photoacoustic signals of biofouling were collected and 2D photoacoustic images were reconstructed. Compared with optical images, photoacoustic images can more effectively reflect the degree of biofouling. The study also further evaluated the feasibility of fouling monitoring based on photoacoustic technology. These findings provide new ideas for in situ detection of marine biofouling. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">OCEAN ENGINEERING</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83121692/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Engineering, Marine </span> </div> <h4> <a href="https://www.peeref.com/works/83115674" class="text-dark hover-underline">Adaptive self-structuring neural network tracking control for underactuated USVs with actuator faults and input saturation</a> </h4> <p class="text-ellipsis-2">Haitao Liu, Xuecheng Zhou, Xuehong Tian, Qingqun Mai, Ronghui Li</p> <div class="d-flex mb-3"> <div class="p-3 rounded" style="background-color: #e8f3ff;"> <strong>Summary:</strong> This paper proposes a predefined-time trajectory tracking fault-tolerant controller based on backstepping to solve the problem of large control inputs in underactuated USVs. The controller combines a new saturation function to construct an auxiliary dynamics system that compensates for input saturation and smooths the control inputs. It also combines the error conversion function with the BLF to make the USV's movement unaffected by the initial conditions. SSNNs are used to approximate unknown nonlinear functions, and the number of neurons can be adjusted to improve the system's robustness and reduce the amount of computation. Stability analysis and numerical simulations show that the closed-loop system is stable, the control inputs are limited, and all errors converge within a predefined time. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">OCEAN ENGINEERING</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83115674/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Engineering, Marine </span> </div> <h4> <a href="https://www.peeref.com/works/83094165" class="text-dark hover-underline">State-constrained safety trajectory tracking control with prescribed performance for a hovercraft under arbitrary initial conditions</a> </h4> <p class="text-ellipsis-2">Qiusu Wang, Mingyu Fu, Yuchao Wang, Yujie Xu</p> <div class="d-flex mb-3"> <div class="p-3 rounded" style="background-color: #e8f3ff;"> <strong>Summary:</strong> This paper investigates the trajectory tracking control problem of hovercraft and proposes a state-constrained safety control scheme considering lumped disturbances and initial condition limitations. The scheme includes an adaptive extended state observer, a composite error transformation technique, virtual velocity control laws, and an improved unified barrier function. By introducing a command filter, the computational burden of the controller is reduced. Simulation results show that the controller can effectively achieve the safe trajectory tracking of the hovercraft. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">OCEAN ENGINEERING</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83094165/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Engineering, Marine </span> </div> <h4> <a href="https://www.peeref.com/works/83552697" class="text-dark hover-underline">An innovative design for floating breakwater with Multi-objective genetic optimal method</a> </h4> <p class="text-ellipsis-2">Puxiu Mao, Cheng Chen, Xinquan Chen, Qi Zhang, Yan Bao, Qi Yang</p> <div class="d-flex mb-3"> <div class="p-3 rounded" style="background-color: #e8f3ff;"> <strong>Summary:</strong> This study presents a floating breakwater with wing-plates, explores the influence of structural dimensions on wave attenuation performance, introduces a parameterized scaling optimization method, conducts numerical simulations and experiments, and demonstrates the superior wave attenuation performance of the innovative floating breakwater. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">OCEAN ENGINEERING</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83552697/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Engineering, Marine </span> </div> <h4> <a href="https://www.peeref.com/works/83027203" class="text-dark hover-underline">paper A true double-body method based on porous media model for simulation and froude scaling verification of an aquaculture vessel resistance</a> </h4> <p class="text-ellipsis-2">Qiang Liu, Hao Chen, Bingliang Wang</p> <div class="d-flex mb-3"> <div class="p-3 rounded" style="background-color: #e8f3ff;"> <strong>Summary:</strong> A blueprint of a novel aquaculture vessel has been drawn, and its resistance evaluation is challenging. The existence of nets creates obstacles in model tests and numerical simulations. The porous media model is one of the feasible solutions, but it requires a control volume. The double-body method based on the porous media model can solve this problem. The comparison of vessels with and without nets shows that there is a beneficial interaction between the net and the hull. The full-scale resistances predicted by the Froude scaling law are consistent, and the relative error increases with the increase of the scale ratio. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">OCEAN ENGINEERING</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83027203/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 "> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Engineering, Marine </span> </div> <h4> <a href="https://www.peeref.com/works/83026894" class="text-dark hover-underline">Energy management system for hybrid ship: Status and perspectives</a> </h4> <p class="text-ellipsis-2">Xiaodong Guo, Xiao Lang, Yupeng Yuan, Liang Tong, Boyang Shen, Teng Long, Wengang Mao</p> <div class="d-flex mb-3"> <div class="p-3 rounded" style="background-color: #e8f3ff;"> <strong>Summary:</strong> This paper reviews the research on intelligent hybrid marine energy management systems, highlighting their significance in addressing energy and environmental issues. It discusses the optimization models and research hotspots of the system, and suggests future research directions in control strategies, multi-system integration, and real-time navigation environment prediction. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">OCEAN ENGINEERING</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83026894/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> </div> </div> </div> </div> </div> </div> <div class="modal fade" id="export-citation" tabindex="-1"> <div class="modal-dialog"> <div class="modal-content"> <div class="modal-header"> <button type="button" class="close" data-dismiss="modal"><span>×</span></button> <h4 class="modal-title">Export Citation <b class="text-primary"></b></h4> </div> <div class="modal-body"> <div class="my-3 px-4 f16"> <form 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High-traversability and efficient path optimization for deep-sea mining vehicles considering complex seabed environmental factors - Peeref