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Determining Fire Resistance of Wooden Construction Elements through Experimental Studies and Artificial Neural Network
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href="https://publications.waset.org/abstracts/search?q=Ismail%20Saritas"> Ismail Saritas</a>, <a href="https://publications.waset.org/abstracts/search?q=Selma%20Tasdemir"> Selma Tasdemir</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Artificial intelligence applications are commonly used in industry in many fields in parallel with the developments in the computer technology. In this study, a fire room was prepared for the resistance of wooden construction elements and with the mechanism here, the experiments of polished materials were carried out. By utilizing from the experimental data, an artificial neural network (ANN) was modeled in order to evaluate the final cross sections of the wooden samples remaining from the fire. In modelling, experimental data obtained from the fire room were used. In the system developed, the first weight of samples (ws-gr), preliminary cross-section (pcs-mm2), fire time (ft-minute), fire temperature (t-oC) as input parameters and final cross-section (fcs-mm2) as output parameter were taken. When the results obtained from ANN and experimental data are compared after making statistical analyses, the data of two groups are determined to be coherent and seen to have no meaning difference between them. As a result, it is seen that ANN can be safely used in determining cross sections of wooden materials after fire and it prevents many disadvantages. <iframe src="https://publications.waset.org/abstracts/19262.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20neural%20network" title="artificial neural network">artificial neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=final%20cross-section" title=" final cross-section"> final cross-section</a>, <a href="https://publications.waset.org/abstracts/search?q=fire%20retardant%20polishes" title=" fire retardant polishes"> fire retardant polishes</a>, <a href="https://publications.waset.org/abstracts/search?q=fire%20safety" title=" fire safety"> fire safety</a>, <a href="https://publications.waset.org/abstracts/search?q=wood%20resistance." title=" wood resistance."> wood resistance.</a> </p> <a href="https://publications.waset.org/abstracts/19262/determining-fire-resistance-of-wooden-construction-elements-through-experimental-studies-and-artificial-neural-network" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/19262.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">385</span> </span> </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 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