Numerical Optimisation of Excavation Pit Design Using Finite Element Analyses

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 usin...

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Bibliographic Details
Published in:Geotechnical and geological engineering Vol. 42; no. 3; pp. 1659 - 1673
Main Authors: Jürgens, Hauke, Henke, Sascha
Format: Journal Article
Language:English
Published: Cham Springer International Publishing 01.05.2024
Springer Nature B.V
Subjects:
Algorithms
Bending moments
Civil Engineering
Deformation
Depth
Design
Design analysis
Design optimization
Earth and Environmental Science
Earth pressure
Earth Sciences
Economic analysis
Evolution
Evolutionary computation
Excavation
Finite element method
Geotechnical Engineering & Applied Earth Sciences
Hydrogeology
Original Paper
Particle swarm optimization
Pits (excavations)
Population number
Pressure distribution
Sheet piles
Stress analysis
Struts
Terrestrial Pollution
Waste Management/Waste Technology
Differential evolution
Finite element analysis
Numerical methods
Particle swarm optimisation
Excavation pit
ISSN:0960-3182, 1573-1529
Online Access:Get full text
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Summary: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.
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ISSN:0960-3182
1573-1529
DOI:10.1007/s10706-023-02639-7