Numerical Optimisation of Excavation Pit Design Using Finite Element Analyses

Author:

Jürgens HaukeORCID,Henke SaschaORCID

Abstract

AbstractThe 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.

Funder

Helmut-Schmidt-Universität Universität der Bundeswehr Hamburg

Publisher

Springer Science and Business Media LLC

Subject

Geology,Soil Science,Geotechnical Engineering and Engineering Geology,Architecture

Reference44 articles.

1. Brinkgreve RBJ, Post M (2013) On the use of finite element models for geotechnical design. In: Grabe J (eds) Bemessen mit numerischen Methoden: Workshop, 24/25. September 2013, Hamburg. Techn. Univ. Hamburg-Harburg Inst. für Geotechnik und Baubetrieb, Hamburg, pp 111–122

2. Cheng YM, Li L, Chi S, Wei WB (2007) Particle swarm optimization algorithm for the location of the critical non-circular failure surface in two-dimensional slope stability analysis. Comput Geotech 34:92–103. https://doi.org/10.1016/j.compgeo.2006.10.012

3. EAB (2021) Empfehlungen des Arbeitskreises “Baugruben” (EAB), 6th edn. Ernst & Sohn, Berlin

4. EANG (2014) Empfehlungen des Arbeitskreises “Numerik in der Geotechnik” (EANG), 1st edn. Ernst & Sohn, Berlin

5. Ebid AM (2021) 35 Years of (AI) in geotechnical engineering: State of the art. Geotech Geol Eng 39:637–690. https://doi.org/10.1007/s10706-020-01536-7

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3