Inverse Analysis of Deep Excavation Using Differential Evolution Algorithm

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Title: Inverse Analysis of Deep Excavation Using Differential Evolution Algorithm
Authors: Zhao, BudiZhang, L.Jeng, D. al.
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Date: 10-Feb-2015
Online since: 2021-11-08T15:08:58Z
Abstract: This paper presents the applications of the differential evolution (DE) algorithm in back analysis of soil parameters for deep excavation problems. A computer code, named Python‐based DE, is developed and incorporated into the commercial finite element software ABAQUS, with a parallel computing technique to run an FE analysis for all trail vectors of one generation in DE in multiple cores of a cluster, which dramatically reduces the computational time. A synthetic case and a well‐instrumented real case, that is, the Taipei National Enterprise Center (TNEC) project, are used to demonstrate the capability of the proposed back‐analysis procedure. Results show that multiple soil parameters are well identified by back analysis using a DE optimization algorithm for highly nonlinear problems. For the synthetic excavation case, the back‐analyzed parameters are basically identical to the input parameters that are used to generate synthetic response of wall deflection. For the TNEC case with a total of nine parameters to be back analyzed, the relative errors of wall deflection for the last three stages are 2.2, 1.1, and 1.0%, respectively. Robustness of the back‐estimated parameters is further illustrated by a forward prediction. The wall deflection in the subsequent stages can be satisfactorily predicted using the back‐analyzed soil parameters at early stages.
Funding Details: Natural Science Foundation of China
Science and Technology Commission of Shanghai Municipality
Type of material: Journal Article
Publisher: Wiley
Journal: International Journal for Numerical and Analytical Methods in Geomechanics
Volume: 39
Issue: 2
Start page: 115
End page: 134
Copyright (published version): 2014 Wiley
Keywords: ExcavationsInverse analysisDifferential evolutionOptimization algorithmsDeflectionCam-clay modelGenetic algorithmParameter-identificationFinite-elementSoil parametersBack-analysisOptimizationFailure
DOI: 10.1002/nag.2287
Language: en
Status of Item: Peer reviewed
ISSN: 0363-9061
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Appears in Collections:Civil Engineering Research Collection

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