Numerical Optimisation of Excavation Pit Design Using Finite Element Analyses

IF 1.7 Q3 ENGINEERING, GEOLOGICAL Geotechnical and Geological Engineering Pub Date : 2023-09-21 DOI:10.1007/s10706-023-02639-7
Hauke Jürgens, Sascha Henke
{"title":"Numerical Optimisation of Excavation Pit Design Using Finite Element Analyses","authors":"Hauke Jürgens, Sascha Henke","doi":"10.1007/s10706-023-02639-7","DOIUrl":null,"url":null,"abstract":"Abstract The present study focusses on optimising a single supported excavation pit to achieve a more economical design using finite element analyses. Two methods for automating the derivation of the excavation pit’s necessary embedment depth are presented, which involve either embedment depth reduction using additional calculation phases or adapting the entire model with renewed discretisation. The bending moments as well as the earth pressure distribution along the wall show good agreement, indicating that both methods are suitable for application. Subsequently, the feasibility of using optimisation algorithms (Particle Swarm Optimisation and Differential Evolution) for dimensioning the single supported excavation pit regarding stress analysis of the wall is investigated. Therefore, the embedment depth and the position of the strut are varied for five different sheet pile walls and three different strut profiles. The results demonstrate that both algorithms perform well, particularly with a higher number of calculation steps. After varying iteration steps and population size, the Differential Evolution approach shows better performance compared to Particle Swarm Optimisation by means of finding the optimal solution after a lower number of computational steps.","PeriodicalId":48246,"journal":{"name":"Geotechnical and Geological Engineering","volume":"89 1","pages":"0"},"PeriodicalIF":1.7000,"publicationDate":"2023-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geotechnical and Geological Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s10706-023-02639-7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, GEOLOGICAL","Score":null,"Total":0}
引用次数: 0

Abstract

Abstract The present study focusses on optimising a single supported excavation pit to achieve a more economical design using finite element analyses. Two methods for automating the derivation of the excavation pit’s necessary embedment depth are presented, which involve either embedment depth reduction using additional calculation phases or adapting the entire model with renewed discretisation. The bending moments as well as the earth pressure distribution along the wall show good agreement, indicating that both methods are suitable for application. Subsequently, the feasibility of using optimisation algorithms (Particle Swarm Optimisation and Differential Evolution) for dimensioning the single supported excavation pit regarding stress analysis of the wall is investigated. Therefore, the embedment depth and the position of the strut are varied for five different sheet pile walls and three different strut profiles. The results demonstrate that both algorithms perform well, particularly with a higher number of calculation steps. After varying iteration steps and population size, the Differential Evolution approach shows better performance compared to Particle Swarm Optimisation by means of finding the optimal solution after a lower number of computational steps.
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
基于有限元分析的基坑设计数值优化
摘要:目前的研究重点是优化单一支护基坑,以实现更经济的设计使用有限元分析。提出了两种自动推导基坑必要埋深的方法,即利用附加的计算阶段来减小埋深,或者用新的离散化方法来适应整个模型。计算得到的弯矩和沿墙土压力分布具有较好的一致性,表明两种方法都是适用的。随后,研究了利用优化算法(粒子群算法和差分进化算法)对单支开挖基坑进行围岩应力分析的可行性。因此,对于5种不同板桩墙体和3种不同板桩截面,支杆的嵌入深度和位置是不同的。结果表明,两种算法都具有良好的性能,特别是在计算步骤较多的情况下。在不同的迭代步长和种群大小后,差分进化方法比粒子群算法表现出更好的性能,因为它可以在更少的计算步数后找到最优解。
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
Geotechnical and Geological Engineering
Geotechnical and Geological Engineering ENGINEERING, GEOLOGICAL-
CiteScore
3.70
自引率
5.90%
发文量
298
期刊介绍: Geotechnical and Geological Engineering publishes papers in the areas of soil and rock engineering and also of geology as applied in the civil engineering, mining and petroleum industries. The emphasis is on the engineering aspects of soil and rock mechanics, geology and hydrogeology, although papers on theoretical and experimental advances in ground mechanics are also welcomed for inclusion. The journal encompasses a broad spectrum of geo-engineering although several areas have been identified which will be given particular priority: Soil and rock engineering; Foundation engineering; Applied geology for design and construction; Geo-environmental engineering; Earthquake engineering and dynamic behavior of soils and rocks; Geohazards and mitigation; Mining engineering; Geotechnical aspects of petroleum engineering; Information technology applications in geo-engineering; Novel geotechnical construction techniques; Case histories describing important geo-engineering projects. Geotechnical and Geological Engineering publishes contributions in the form of original and review papers, or as short technical notes.
期刊最新文献
Understanding Seismic Hazards Associated with Development Mining: The Role of Local Geology and Structures Impact of Particle Characteristics on the Static Liquefaction of Jhelum Riverbed Sand Impact of Brittle Faults with Varying Geometrical Structures on Rock Mass Engineering Properties in the North Tehran and Pourkan Verdij Fault Zones, Iran An Elastoplastic Model to Simulate Pile Installation and Setup in Clay Soils Real-Time Rendering Closure Method for Continuous Cutting of Multilevel TIN Geological Models
×
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