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<html><head><title>Dynamic constitutive analysis of aluminum alloy materials commonly used in railway vehicles big data and its application in LS-DYNA - EUDL</title><link rel="icon" href="/images/favicon.ico"><link rel="stylesheet" type="text/css" href="/css/screen.css"><link rel="stylesheet" href="/css/zenburn.css"><meta http-equiv="Content-Type" content="charset=utf-8"><meta name="viewport" content="width=device-width, initial-scale=1.0"><meta name="Description" content="The mechanical test for the three commonly used aluminum alloy materials (6005A-T6, 6008-T6 and 6082-T6) for rail vehicle big data are carried at different temperatures and different strain rates in this study. It can be seen that there are significant differe"><meta name="citation_title" content="Dynamic constitutive analysis of aluminum alloy materials commonly used in railway vehicles big data and its application in LS-DYNA"><meta name="citation_publication_date" content="2021/09/28"><meta name="citation_online_date" content="2021/09/29"><meta name="citation_author" content="Juxing Liang"><meta name="citation_author" content="Jia Sun"><meta name="citation_author" content="Wei Wei"><meta name="citation_author" content="Rashid Laghari"><meta name="citation_pdf_url" content="http://eudl.eu/pdf/10.4108/eai.28-9-2021.171169"><meta name="citation_journal_title" content="EAI Endorsed Transactions on Scalable Information Systems"><meta name="citation_issn" content="2032-9407"><meta name="citation_volume" content=""9""><meta name="citation_issue" content="34"><script type="text/javascript" src="https://services.eai.eu//load-signup-form/EAI"></script><script type="text/javascript" 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title="Download eai.28-9-2021.171169.pdf">Download</a><span class="download">1196 downloads</span></section><section class="meta-section cite-area"><dl class="main-metadata"><dt class="title" id="cite-switchers">Cite</dt> <dd class="value" id="cite-switchers"><a href="" class="bibtex">BibTeX</a> <a href="" class="plain-text">Plain Text</a></dd></dl></section><ul id="cite-blocks"><li class="bibtex"><pre>@ARTICLE{10.4108/eai.28-9-2021.171169, author={Juxing Liang and Jia Sun and Wei Wei and Rashid Ali Laghari}, title={Dynamic constitutive analysis of aluminum alloy materials commonly used in railway vehicles big data and its application in LS-DYNA}, journal={EAI Endorsed Transactions on Scalable Information Systems}, volume={9}, number={34}, publisher={EAI}, journal_a={SIS}, year={2021}, month={9}, keywords={big data, Dynamic constitutive model, Aluminum alloy for vehicle, Anti-climbing device dropping hammer impact test}, doi={10.4108/eai.28-9-2021.171169} } </pre></li><li class="plain-text"><div class="cite">Juxing Liang<br>Jia Sun<br>Wei Wei<br>Rashid Ali Laghari<br>Year: 2021<br>Dynamic constitutive analysis of aluminum alloy materials commonly used in railway vehicles big data and its application in LS-DYNA<br>SIS<br>EAI<br>DOI: 10.4108/eai.28-9-2021.171169</div></li></ul><section id="authors"><span class="author-list">Juxing Liang<sup>1</sup><sup>,*</sup>, Jia Sun<sup>1</sup>, Wei Wei<sup>2</sup>, Rashid Ali Laghari<sup>3</sup></span><ul class="affiliation-list"><li>1: CRRC Nanjing Puzhen Co., Ltd. Nanjing 210000 China</li><li>2: School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001 China</li><li>3: College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China</li></ul><section class="corresponding-email">*Contact email: juxxi741@126.com</section></section><section class="full-abstract"><h2>Abstract</h2><div><p>The mechanical test for the three commonly used aluminum alloy materials (6005A-T6, 6008-T6 and 6082-T6) for rail vehicle big data are carried at different temperatures and different strain rates in this study. It can be seen that there are significant difference mechanical properties for these aluminum alloy. The main differences between them are the sensitivity of the strain rate and temperature. 6008-T6 and 6005A-T6 alloys have lower sensitivity to strain rate, while 6082-T6 alloy has higher sensitivity to strain rate and temperature. Based on the experimental data, the two commonly used dynamic material models of LS-DYNA, the Cowper-Symonds constitutive model and the Johnson-Cook constitutive model, are fitted. And then the two constitutive models are verified and compared by the dropping hammer impact test of the anti-climbing device. The results show that the Cowper-Symonds constitutive model has higher accuracy.</p></div></section><section class="metas-section"><section class="meta-section"><dl class="main-metadata"><dt class="title">Keywords</dt> <dd class="value">big data, Dynamic constitutive model, Aluminum alloy for vehicle, Anti-climbing device dropping hammer impact test</dd></dl></section><section class="meta-section"><dl class="main-metadata"><dt class="title">Received</dt> <dd class="value">2021-09-18</dd><dt class="title">Accepted</dt> <dd class="value">2021-09-28</dd><dt class="title">Published</dt> <dd class="value">2021-09-28</dd><dt class="title">Publisher</dt> <dd class="value">EAI</dd></dl></section><section class="meta-section"><dl class="main-metadata"><dt class="title"></dt> <dd class="value"><a href="http://dx.doi.org/10.4108/eai.28-9-2021.171169">http://dx.doi.org/10.4108/eai.28-9-2021.171169</a></dd></dl></section></section><div class="copyright-block"><p>Copyright 漏 2021 Juxing Liang et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.</p></div></section></section></section><div class="clear"></div><footer><div class="links"><a href="https://www.ebsco.com/" target="_blank"><img class="logo ebsco-logo" src="/images/ebsco.png" alt="EBSCO"></a><a href="https://www.proquest.com/" target="_blank"><img class="logo proquest-logo" src="/images/proquest.png" alt="ProQuest"></a><a href="https://dblp.uni-trier.de/db/journals/publ/icst.html" target="_blank"><img class="logo dblp-logo" src="/images/dblp.png" alt="DBLP"></a><a href="https://doaj.org/search?source=%7B%22query%22%3A%7B%22filtered%22%3A%7B%22filter%22%3A%7B%22bool%22%3A%7B%22must%22%3A%5B%7B%22term%22%3A%7B%22index.publisher.exact%22%3A%22European%20Alliance%20for%20Innovation%20(EAI)%22%7D%7D%5D%7D%7D%2C%22query%22%3A%7B%22query_string%22%3A%7B%22query%22%3A%22european%20alliance%20for%20innovation%22%2C%22default_operator%22%3A%22AND%22%2C%22default_field%22%3A%22index.publisher%22%7D%7D%7D%7D%7Dj" target="_blank"><img class="logo doaj-logo" src="/images/doaj.jpg" alt="DOAJ"></a><a href="https://www.portico.org/publishers/eai/" target="_blank"><img class="logo portico-logo" src="/images/portico.png" alt="Portico"></a><a href="http://eai.eu/" target="_blank"><img class="logo eai-logo" src="/images/eai.png"></a></div></footer></div><div class="footer-container"><div class="footer-width"><div class="footer-column logo-column"><a href="https://eai.eu/"><img src="https://eudl.eu/images/logo_new-1-1.png" alt="EAI Logo"></a></div><div class="footer-column"><h4>About EAI</h4><ul><li><a href="https://eai.eu/who-we-are/">Who We Are</a></li><li><a href="https://eai.eu/leadership/">Leadership</a></li><li><a href="https://eai.eu/research-areas/">Research Areas</a></li><li><a href="https://eai.eu/partners/">Partners</a></li><li><a href="https://eai.eu/media-center/">Media Center</a></li></ul></div><div class="footer-column"><h4>Community</h4><ul><li><a href="https://eai.eu/eai-community/">Membership</a></li><li><a href="https://eai.eu/conferences/">Conference</a></li><li><a href="https://eai.eu/recognition/">Recognition</a></li><li><a href="https://eai.eu/corporate-sponsorship">Sponsor Us</a></li></ul></div><div class="footer-column"><h4>Publish with EAI</h4><ul><li><a href="https://eai.eu/publishing">Publishing</a></li><li><a href="https://eai.eu/journals/">Journals</a></li><li><a href="https://eai.eu/proceedings/">Proceedings</a></li><li><a href="https://eai.eu/books/">Books</a></li><li><a href="https://eudl.eu/">EUDL</a></li></ul></div></div></div><script type="text/javascript" src="https://eudl.eu/js/gacode.js"></script><script src="/js/highlight.pack.js"></script><script>hljs.initHighlightingOnLoad();</script><script type="application/ld+json">{"@context":"http://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"item":{"@id":"http://eudl.eu","name":"Home","image":null}},{"@type":"ListItem","position":2,"item":{"@id":"http://eudl.eu/journals","name":"Journals","image":null}},{"@type":"ListItem","position":3,"item":{"@id":"http://eudl.eu/journal/sis","name":"sis","image":null}},{"@type":"ListItem","position":4,"item":{"@id":"/issue/sis/9/34","name":"Issue 34","image":null}},{"@type":"ListItem","position":1,"item":{"@id":"http://eudl.eu/doi/10.4108/eai.28-9-2021.171169","name":"Dynamic constitutive analysis of aluminum alloy materials commonly used in railway vehicles big data and its application in LS-DYNA","image":null}}]}</script></body></html>