Characterization and Prediction of Nonlinear Stress-Strain Relation of Geostructures for Seismic Monitoring

Q2 Engineering
A. Namdar
{"title":"Characterization and Prediction of Nonlinear Stress-Strain Relation of Geostructures for Seismic Monitoring","authors":"A. Namdar","doi":"10.32604/SDHM.2021.011127","DOIUrl":null,"url":null,"abstract":"The nonlinearity of the strain energy at an interval period of applying seismic load on the geostructures makes it difficult for a seismic designer to makes appropriate engineering judgments timely. The nonlinear stress and strain analysis of an embankment is needed to evaluate by using a combination of suitable methods. In this study, a large-scale geostructure was seismically simulated and analyzed using the nonlinear finite element method (NFEM), and linear regression method which is a soft computing technique (SC) was applied for evaluating the results of NFEM, and it supports engineering judgment because the design of the geostructures is usually considered to be an inaccurate process owing to high nonlinearity of the large-scale geostructures seismic response and such nonlinearity may induce the complexity for decision making in geostructures seismic design. The occurrence of nonlinear stress and nonlinear strain probability distribution can be observed and density of stress and strain are predicted by using the histogram. The results of both the simulation from the NFEM and the linear regression method confirm the nonlinearity of strain energy and stress behavior have a close value of R and root-mean-square error (RMSE). The linear regression and histogram simulation shows the accuracy of NFEM results. The outcome of this study guides to improve engineering judgment quality for seismic analysis of an embankment through validating results of NFEM by employing appropriate soft computing techniques.","PeriodicalId":35399,"journal":{"name":"SDHM Structural Durability and Health Monitoring","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SDHM Structural Durability and Health Monitoring","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.32604/SDHM.2021.011127","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 1

Abstract

The nonlinearity of the strain energy at an interval period of applying seismic load on the geostructures makes it difficult for a seismic designer to makes appropriate engineering judgments timely. The nonlinear stress and strain analysis of an embankment is needed to evaluate by using a combination of suitable methods. In this study, a large-scale geostructure was seismically simulated and analyzed using the nonlinear finite element method (NFEM), and linear regression method which is a soft computing technique (SC) was applied for evaluating the results of NFEM, and it supports engineering judgment because the design of the geostructures is usually considered to be an inaccurate process owing to high nonlinearity of the large-scale geostructures seismic response and such nonlinearity may induce the complexity for decision making in geostructures seismic design. The occurrence of nonlinear stress and nonlinear strain probability distribution can be observed and density of stress and strain are predicted by using the histogram. The results of both the simulation from the NFEM and the linear regression method confirm the nonlinearity of strain energy and stress behavior have a close value of R and root-mean-square error (RMSE). The linear regression and histogram simulation shows the accuracy of NFEM results. The outcome of this study guides to improve engineering judgment quality for seismic analysis of an embankment through validating results of NFEM by employing appropriate soft computing techniques.
地震监测中土工结构非线性应力-应变关系表征与预测
土工结构在地震荷载作用的间隔时间内应变能的非线性,给抗震设计人员及时做出适当的工程判断带来了困难。对路堤进行非线性应力应变分析时,需要结合适当的方法进行评价。本文采用非线性有限元法(NFEM)对某大型土工结构进行了地震模拟和分析,并采用软计算技术线性回归法(SC)对NFEM结果进行了评价。由于大型土工结构地震反应的高度非线性,通常认为土工结构的设计是一个不准确的过程,这种非线性会导致土工结构抗震设计决策的复杂性,从而为工程判断提供了依据。利用直方图可以观察到非线性应力和非线性应变的发生概率分布,并预测了应力和应变的密度。NFEM和线性回归方法的模拟结果都证实了应变能和应力行为的非线性具有相近的R值和均方根误差(RMSE)。线性回归和直方图模拟表明了NFEM结果的准确性。研究结果通过采用适当的软计算技术对有限元结果进行验证,对提高堤防地震分析的工程判断质量具有指导意义。
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 求助全文
来源期刊
SDHM Structural Durability and Health Monitoring
SDHM Structural Durability and Health Monitoring Engineering-Building and Construction
CiteScore
2.40
自引率
0.00%
发文量
29
期刊介绍: In order to maintain a reasonable cost for large scale structures such as airframes, offshore structures, nuclear plants etc., it is generally accepted that improved methods for structural integrity and durability assessment are required. Structural Health Monitoring (SHM) had emerged as an active area of research for fatigue life and damage accumulation prognostics. This is important for design and maintains of new and ageing structures.
×
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