Cluster-based Nonuniform Transformation Field Analysis of Gra-phene nanocomposites

IF 0.6 4区 工程技术 Q4 MECHANICS
Mechanika Pub Date : 2023-08-09 DOI:10.5755/j02.mech.33191
Yinan Jiang, Juanjuan Chen, L. Liang, Yangjian Xu, X. Ju
{"title":"Cluster-based Nonuniform Transformation Field Analysis of Gra-phene nanocomposites","authors":"Yinan Jiang, Juanjuan Chen, L. Liang, Yangjian Xu, X. Ju","doi":"10.5755/j02.mech.33191","DOIUrl":null,"url":null,"abstract":"        Graphene nanocomposites have attracted much attention in materials science due to their superior me-chanical properties. It is difficult for conventional mul-tiscale methods to provide substantial assistance to the research of such materials due to their huge computa-tional costs. Nonuniform transformation field analysis is a very effective reduced order homogenization meth-od for elastoplastic multiscale analysis. However, the reduced order model derived from this method has the shortcoming of low universality and high application threshold. Therefore, an improved reduced order model is proposed by combining the nonuniform transfor-mation field analysis with the k-means clustering algo-rithm. One can embed the required microscopic consti-tutive model into the reduced order homogenization framework without the need to derive a new reduced order model. Based on the cluster-based nonuniform transformation field analysis, the influence of the mi-croscopic plastic strain field evolution on the macro-scopic response of the material under consideration is revealed, while the mechanical properties of graphene nanocomposites are predicted. The numerical results show that the new reduced order model can accurately predict the macroscopic mechanical properties of com-posite materials, and its acceleration rate compared to the traditional finite element computations reaches103-104 . \nKeywords:graphene nanocomposites; reduced order model; multiscale methods; clustering; nonuniform transfomation field analysis","PeriodicalId":54741,"journal":{"name":"Mechanika","volume":null,"pages":null},"PeriodicalIF":0.6000,"publicationDate":"2023-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mechanika","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.5755/j02.mech.33191","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MECHANICS","Score":null,"Total":0}
引用次数: 0

Abstract

        Graphene nanocomposites have attracted much attention in materials science due to their superior me-chanical properties. It is difficult for conventional mul-tiscale methods to provide substantial assistance to the research of such materials due to their huge computa-tional costs. Nonuniform transformation field analysis is a very effective reduced order homogenization meth-od for elastoplastic multiscale analysis. However, the reduced order model derived from this method has the shortcoming of low universality and high application threshold. Therefore, an improved reduced order model is proposed by combining the nonuniform transfor-mation field analysis with the k-means clustering algo-rithm. One can embed the required microscopic consti-tutive model into the reduced order homogenization framework without the need to derive a new reduced order model. Based on the cluster-based nonuniform transformation field analysis, the influence of the mi-croscopic plastic strain field evolution on the macro-scopic response of the material under consideration is revealed, while the mechanical properties of graphene nanocomposites are predicted. The numerical results show that the new reduced order model can accurately predict the macroscopic mechanical properties of com-posite materials, and its acceleration rate compared to the traditional finite element computations reaches103-104 . Keywords:graphene nanocomposites; reduced order model; multiscale methods; clustering; nonuniform transfomation field analysis
Graphene纳米复合材料的团簇非均匀变换场分析
石墨烯纳米复合材料以其优异的力学性能在材料科学领域引起了广泛的关注。传统的多尺度方法由于其巨大的计算成本,很难为此类材料的研究提供实质性的帮助。非均匀变换场分析是弹塑性多尺度分析中一种非常有效的降阶均匀化方法。然而,该方法导出的降阶模型存在通用性低、应用阈值高的缺点。因此,将非均匀变换场分析与k均值聚类算法相结合,提出了一种改进的降阶模型。可以将所需的微观组成模型嵌入到降阶均匀化框架中,而不需要导出新的降阶模型。基于基于簇的非均匀变换场分析,揭示了微观塑性应变场演化对所考虑材料宏观响应的影响,并预测了石墨烯纳米复合材料的力学性能。数值结果表明,新的降阶模型能够准确地预测复合材料的宏观力学性能,与传统的有限元计算相比,其加速率达到103-104。关键词:石墨烯纳米复合材料;降阶模型;多尺度方法;聚类;非均匀变换场分析
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Mechanika
Mechanika 物理-力学
CiteScore
1.30
自引率
0.00%
发文量
50
审稿时长
3 months
期刊介绍: The journal is publishing scientific papers dealing with the following problems: Mechanics of Solid Bodies; Mechanics of Fluids and Gases; Dynamics of Mechanical Systems; Design and Optimization of Mechanical Systems; Mechanical Technologies.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信