Exploring the inherent capacity of the multiresolution finite wavelet domain method to provide convergence indicators in transient dynamic simulations

IF 4.4 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Structures Pub Date : 2024-09-07 DOI:10.1016/j.compstruc.2024.107517
Dimitris K. Dimitriou, Dimitris A. Saravanos
{"title":"Exploring the inherent capacity of the multiresolution finite wavelet domain method to provide convergence indicators in transient dynamic simulations","authors":"Dimitris K. Dimitriou,&nbsp;Dimitris A. Saravanos","doi":"10.1016/j.compstruc.2024.107517","DOIUrl":null,"url":null,"abstract":"<div><p>The advantages of the multiresolution finite wavelet domain method in terms of convergence speed and solution localization capabilities have been demonstrated in dynamic simulations of one- and two-dimensional solids. The first step in the multiresolution procedure entails a coarse solution, which is subsequently enriched by the calculation of finer solutions, so convergence is achieved without discarding the previous results obtained at coarser resolutions. In this work, the multiresolution structure of the method is thoroughly explored to develop two novel convergence indicators which can provide error indices for the first two steps of the process and focus the fine solutions on specific subregions, enhancing accuracy and computational speed. The first convergence indicator is based on force residuals and the second relies on the maximum ratio of the fine to total solution. Detailed examination of the multiresolution components results in profound comprehension of the way they participate to the total solution. Based on repeated observations, it is deduced that the participation of fine components to the total solution constitute metrics of convergence, permitting the termination of the hierarchical analysis without requiring convergence checks. The proposed convergence indicators can guide targeted refinement techniques and may provide the basis for a new computational paradigm.</p></div>","PeriodicalId":50626,"journal":{"name":"Computers & Structures","volume":"305 ","pages":"Article 107517"},"PeriodicalIF":4.4000,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Structures","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0045794924002463","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0

Abstract

The advantages of the multiresolution finite wavelet domain method in terms of convergence speed and solution localization capabilities have been demonstrated in dynamic simulations of one- and two-dimensional solids. The first step in the multiresolution procedure entails a coarse solution, which is subsequently enriched by the calculation of finer solutions, so convergence is achieved without discarding the previous results obtained at coarser resolutions. In this work, the multiresolution structure of the method is thoroughly explored to develop two novel convergence indicators which can provide error indices for the first two steps of the process and focus the fine solutions on specific subregions, enhancing accuracy and computational speed. The first convergence indicator is based on force residuals and the second relies on the maximum ratio of the fine to total solution. Detailed examination of the multiresolution components results in profound comprehension of the way they participate to the total solution. Based on repeated observations, it is deduced that the participation of fine components to the total solution constitute metrics of convergence, permitting the termination of the hierarchical analysis without requiring convergence checks. The proposed convergence indicators can guide targeted refinement techniques and may provide the basis for a new computational paradigm.

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
探索多分辨率有限小波域方法在瞬态动态模拟中提供收敛指标的内在能力
在对一维和二维固体进行动态模拟时,证明了多分辨率有限小波域方法在收敛速度和解定位能力方面的优势。多分辨率程序的第一步需要一个粗解,随后通过计算更精细的解来丰富粗解,从而在不丢弃之前在更粗分辨率下获得的结果的情况下实现收敛。在这项工作中,对该方法的多分辨率结构进行了深入探讨,开发出两个新的收敛指标,可为前两个步骤提供误差指数,并将精细解集中于特定子区域,从而提高精度和计算速度。第一个收敛指标基于力残差,第二个收敛指标依赖于精细解与总解的最大比率。通过对多分辨率组件的详细研究,可以深刻理解它们参与总解的方式。在反复观察的基础上,可以推断出精细成分参与总解的情况构成了收敛性指标,允许终止分层分析而无需进行收敛性检查。所提出的收敛指标可以指导有针对性的细化技术,并为新的计算范式提供基础。
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
Computers & Structures
Computers & Structures 工程技术-工程:土木
CiteScore
8.80
自引率
6.40%
发文量
122
审稿时长
33 days
期刊介绍: Computers & Structures publishes advances in the development and use of computational methods for the solution of problems in engineering and the sciences. The range of appropriate contributions is wide, and includes papers on establishing appropriate mathematical models and their numerical solution in all areas of mechanics. The journal also includes articles that present a substantial review of a field in the topics of the journal.
期刊最新文献
Data-driven FEM cluster-based basis reduction method for ultimate load-bearing capacity prediction of structures under variable loads Efficient methods to build structural performance envelopes in characteristic load space A Cepstrum-Informed neural network for Vibration-Based structural damage assessment A non-classical computational method for modelling functionally graded porous planar media using micropolar theory Extended formulation of macro-element based modelling – Application to single-lap bonded joints
×
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