Progress in FEM modeling on mechanical and electromechanical properties of carbon nanotube cement-based composites

IF 6.1 3区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY Nanotechnology Reviews Pub Date : 2023-01-01 DOI:10.1515/ntrev-2022-0522
Tao Xuejun, Luo Jianlin, Zhang Jigang, Zhu Min, Zhang Liqing, Gao Yibo
{"title":"Progress in FEM modeling on mechanical and electromechanical properties of carbon nanotube cement-based composites","authors":"Tao Xuejun, Luo Jianlin, Zhang Jigang, Zhu Min, Zhang Liqing, Gao Yibo","doi":"10.1515/ntrev-2022-0522","DOIUrl":null,"url":null,"abstract":"Abstract Carbon nanotubes (CNTs) reinforced cementitious composite (CNRC) with excellent electrical and self-sensing properties, which enables it to serve as an intrinsic sensor for structural health monitoring (SHM). However, the requirements of modern industry for accurate calculation and performance design of engineering materials are not met by traditional experimental studies alone. The finite element method (FEM) has the advantages of simplicity of operation, accuracy, and cost-effectiveness, and it has been widely used in the property verification and prediction of various composite materials. In this article, the constitutive model, FEM modeling method, and simulation process of CNRC along with existing model types, innate relations, and model parameters are reviewed, and the corresponding mechanical, electrical, and electromechanical coupling properties of CNRC under different parameters are systematically analyzed by FEM method. By combining different uncertainty parameters and model types, the advantages and disadvantages of FEM for mechanical, electromechanical coupling, and SHM applications of CNRC modeling are explored. The results are in good agreement with those in the existing CNRC experiment, which effectively proves the reliability of the FEM method in CNRC research. This work is important to develop a sound theoretical model verification and performance prediction for early applications in SHM of CNRC.","PeriodicalId":18839,"journal":{"name":"Nanotechnology Reviews","volume":" ","pages":""},"PeriodicalIF":6.1000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nanotechnology Reviews","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1515/ntrev-2022-0522","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 2

Abstract

Abstract Carbon nanotubes (CNTs) reinforced cementitious composite (CNRC) with excellent electrical and self-sensing properties, which enables it to serve as an intrinsic sensor for structural health monitoring (SHM). However, the requirements of modern industry for accurate calculation and performance design of engineering materials are not met by traditional experimental studies alone. The finite element method (FEM) has the advantages of simplicity of operation, accuracy, and cost-effectiveness, and it has been widely used in the property verification and prediction of various composite materials. In this article, the constitutive model, FEM modeling method, and simulation process of CNRC along with existing model types, innate relations, and model parameters are reviewed, and the corresponding mechanical, electrical, and electromechanical coupling properties of CNRC under different parameters are systematically analyzed by FEM method. By combining different uncertainty parameters and model types, the advantages and disadvantages of FEM for mechanical, electromechanical coupling, and SHM applications of CNRC modeling are explored. The results are in good agreement with those in the existing CNRC experiment, which effectively proves the reliability of the FEM method in CNRC research. This work is important to develop a sound theoretical model verification and performance prediction for early applications in SHM of CNRC.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
碳纳米管水泥基复合材料力学和机电性能有限元建模研究进展
摘要碳纳米管(CNTs)增强水泥基复合材料(CNRC)具有优异的电学和自传感性能,可作为结构健康监测(SHM)的固有传感器。然而,仅靠传统的实验研究并不能满足现代工业对工程材料精确计算和性能设计的要求。有限元法具有操作简单、精度高、成本效益好的优点,已广泛应用于各种复合材料的性能验证和预测。本文综述了CNRC的本构模型、有限元建模方法和仿真过程,以及现有的模型类型、固有关系和模型参数,并用有限元方法系统地分析了不同参数下CNRC相应的机械、电气和机电耦合特性。结合不同的不确定性参数和模型类型,探讨了有限元法在CNRC建模的机械、机电耦合和SHM应用中的优缺点。结果与现有的CNRC试验结果吻合较好,有效地证明了有限元方法在CNRC研究中的可靠性。这项工作对于开发一个完善的理论模型验证和性能预测,以早期应用于CNRC的SHM具有重要意义。
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 去求助
来源期刊
Nanotechnology Reviews
Nanotechnology Reviews CHEMISTRY, MULTIDISCIPLINARY-NANOSCIENCE & NANOTECHNOLOGY
CiteScore
11.40
自引率
13.50%
发文量
137
审稿时长
7 weeks
期刊介绍: The bimonthly journal Nanotechnology Reviews provides a platform for scientists and engineers of all involved disciplines to exchange important recent research on fundamental as well as applied aspects. While expert reviews provide a state of the art assessment on a specific topic, research highlight contributions present most recent and novel findings. In addition to technical contributions, Nanotechnology Reviews publishes articles on implications of nanotechnology for society, environment, education, intellectual property, industry, and politics.
期刊最新文献
Tension buckling and postbuckling of nanocomposite laminated plates with in-plane negative Poisson’s ratio Solution-processed Bi2S3/BiVO4/TiO2 ternary heterojunction photoanode with enhanced photoelectrochemical performance Performance of polycarboxylate superplasticisers in seawater-blended cement: Effect from chemical structure and nano modification Significance of gyrotactic microorganisms on the MHD tangent hyperbolic nanofluid flow across an elastic slender surface: Numerical analysis Research progress on preparation, modification, and application of phenolic aerogel
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1