Comparison of machine learning methods and finite element analysis on the fracture behavior of polymer composites
Author:
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering
Link
https://link.springer.com/content/pdf/10.1007/s00419-020-01765-5.pdf
Reference61 articles.
1. Jamali, J., Mourad, A.-H.I., Fan, Y., Wood, J.T.: Through-thickness fracture behavior of unidirectional glass fibers/epoxy composites under various in-plane loading using the CTS test. Eng. Fract. Mech. 156, 83–95 (2016). https://doi.org/10.1016/j.engfracmech.2016.01.016
2. Bin Mohamed Rehan, M.S., Rousseau, J., Fontaine, S., Gong, X.J.: Experimental study of the influence of ply orientation on DCB mode-I delamination behavior by using multidirectional fully isotropic carbon/epoxy laminates. Compos. Struct. 161, 1–7 (2017). https://doi.org/10.1016/j.compstruct.2016.11.036
3. Srivastava, V.K., Gries, T., Veit, D., Quadflieg, T., Mohr, B., Kolloch, M.: Effect of nanomaterial on mode I and mode II interlaminar fracture toughness of woven carbon fabric reinforced polymer composites. Eng. Fract. Mech. 180, 73–86 (2017). https://doi.org/10.1016/j.engfracmech.2017.05.030
4. Tiber, B., Balcıoğlu, H.E.: Flexural and fracture behavior of natural fiber knitted fabric reinforced composites. Polym. Compos. (2017). https://doi.org/10.1002/pc.24635
5. Szekrényes, A., Uj, J.: Beam and finite element analysis of quasi-unidirectional composite SLB and ELS specimens. Compos. Sci. Technol. 64, 2393–2406 (2004). https://doi.org/10.1016/j.compscitech.2004.05.002
Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. On point cloud failure criterion predictions;Journal of Composite Materials;2024-08-19
2. Machine Learning Algorithms for Prediction and Characterization of Cohesive Zone Parameters for Mixed-Mode Fracture;Journal of Composites Science;2024-08-17
3. Machine learning advancements in organic synthesis: A focused exploration of artificial intelligence applications in chemistry;Artificial Intelligence Chemistry;2024-06
4. Improving the performance of damage repair in thin-walled structures with analytical data and machine learning algorithms;Frattura ed Integrità Strutturale;2024-03-05
5. Application of Machine Learning and Deep Learning in Finite Element Analysis: A Comprehensive Review;Archives of Computational Methods in Engineering;2024-03-01
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3