Soil parameter identification using a genetic algorithm

被引:159
作者
Levasseur, S. [1 ]
Malecot, Y. [1 ]
Boulon, M. [1 ]
Flavigny, E. [1 ]
机构
[1] Univ Grenoble 1, CNRS, UMR 5521, Lab Solides Struct, F-38041 Grenoble 9, France
关键词
parameter identification; inverse analysis; genetic algorithms; objective function; finite element method; pressuremeter test; excavation;
D O I
10.1002/nag.614
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
This paper is dedicated to the identification of constitutive parameters of the Mohr-Coulomb constitutive model from in situ geotechnical measurements. A pressuremeter curve and the horizontal displacements of a sheet pile wall retaining an excavation are successively used as measurements. Two kinds of optimization algorithms are used to minimize the error function, the first one based on a gradient method and the second one based on a genetic algorithm. The efficiency of each algorithm related to the error function topology is discussed. Finally, it is shown that the use of a genetic algorithm to identify the soil parameters seems particularly suitable when the topology of the error function is complex. Copyright (c) 2007 John Wiley & Sons, Ltd.
引用
收藏
页码:189 / 213
页数:25
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