基于正则化微力学模型的增强压电复合材料电弹性性能预测

Nada Tassi, A. Bakkali, Nadia Fakri, L. Azrar
{"title":"基于正则化微力学模型的增强压电复合材料电弹性性能预测","authors":"Nada Tassi, A. Bakkali, Nadia Fakri, L. Azrar","doi":"10.1109/ICRAMI52622.2021.9585962","DOIUrl":null,"url":null,"abstract":"In this paper, the effective electro-elastic (EE) behavior of piezoelectric composite is predicted and analyzed based on a regularized micromechanical modeling. The mathematical modeling is based on Green’s function approach to derive the localization equation coupled with regularization and conditioned procedure. The ill-conditioned problem is present when going through the inversion of the localization tensor due to the large dispersion between elastic, dielectric, and piezoelectric coefficients. This problem is addressed using the Tikhonov regularization method. The choice of the regularization parameter is studied to be optimal and to assure the solution stability, and the convergence to the desired solution. The Homogenization of effective properties is obtained through the averaged procedure and a regularized Mori-Tanaka model. The effective electro-elastic properties are predicted with respect to the shape of constituents as well as to the volume fraction of inclusions.","PeriodicalId":440750,"journal":{"name":"2021 International Conference on Recent Advances in Mathematics and Informatics (ICRAMI)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Regularized Micromechanical Modeling for the Prediction of Electro-Elastic Behavior of Reinforced Piezoelectric Composites\",\"authors\":\"Nada Tassi, A. Bakkali, Nadia Fakri, L. Azrar\",\"doi\":\"10.1109/ICRAMI52622.2021.9585962\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the effective electro-elastic (EE) behavior of piezoelectric composite is predicted and analyzed based on a regularized micromechanical modeling. The mathematical modeling is based on Green’s function approach to derive the localization equation coupled with regularization and conditioned procedure. The ill-conditioned problem is present when going through the inversion of the localization tensor due to the large dispersion between elastic, dielectric, and piezoelectric coefficients. This problem is addressed using the Tikhonov regularization method. The choice of the regularization parameter is studied to be optimal and to assure the solution stability, and the convergence to the desired solution. The Homogenization of effective properties is obtained through the averaged procedure and a regularized Mori-Tanaka model. The effective electro-elastic properties are predicted with respect to the shape of constituents as well as to the volume fraction of inclusions.\",\"PeriodicalId\":440750,\"journal\":{\"name\":\"2021 International Conference on Recent Advances in Mathematics and Informatics (ICRAMI)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Recent Advances in Mathematics and Informatics (ICRAMI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICRAMI52622.2021.9585962\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Recent Advances in Mathematics and Informatics (ICRAMI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRAMI52622.2021.9585962","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

基于正则化微力学模型,对压电复合材料的有效电弹性行为进行了预测和分析。数学建模采用格林函数法推导局部化方程,并结合正则化和条件化过程。由于弹性系数、介电系数和压电系数之间的色散较大,在进行局域化张量的反演时存在病态问题。使用Tikhonov正则化方法解决了这个问题。研究了正则化参数的选择是最优的,并保证了解的稳定性和收敛到期望解。通过平均过程和正则化的Mori-Tanaka模型得到了有效性质的均匀化。有效电弹性性能的预测与组分的形状以及夹杂物的体积分数有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Regularized Micromechanical Modeling for the Prediction of Electro-Elastic Behavior of Reinforced Piezoelectric Composites
In this paper, the effective electro-elastic (EE) behavior of piezoelectric composite is predicted and analyzed based on a regularized micromechanical modeling. The mathematical modeling is based on Green’s function approach to derive the localization equation coupled with regularization and conditioned procedure. The ill-conditioned problem is present when going through the inversion of the localization tensor due to the large dispersion between elastic, dielectric, and piezoelectric coefficients. This problem is addressed using the Tikhonov regularization method. The choice of the regularization parameter is studied to be optimal and to assure the solution stability, and the convergence to the desired solution. The Homogenization of effective properties is obtained through the averaged procedure and a regularized Mori-Tanaka model. The effective electro-elastic properties are predicted with respect to the shape of constituents as well as to the volume fraction of inclusions.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Simulation Of The Structure FSS Using The WCIP Method For Dual Polarization Applications Impact of Mixup Hyperparameter Tunning on Deep Learning-based Systems for Acoustic Scene Classification Analysis of Solutions for a Reaction-Diffusion Epidemic Model Segmentation of Positron Emission Tomography Images Using Multi-atlas Anatomical Magnetic Resonance Imaging (MRI) Multi-Input CNN for molecular classification in breast cancer
×
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