International Journal for Numerical and Analytical Methods in Geomechanics · 2007 · 209 citations · 24 references
EngineeringCivil EngineeringGeological EngineeringGeotechnical EngineeringSoil MechanicsSoil ScienceIn-situ TestingSoil-structure InteractionGenetic Algorithm OptimizationGeotechnical CharacterizationGeotechnical ModelingGeotechnical Parameter EstimationGradient Method OptimizationOptimization AlgorithmsParameter IdentificationSoil Constitutive Models
The study aims to identify Mohr–Coulomb constitutive parameters from in situ geotechnical measurements. The authors use pressuremeter curves and sheet pile wall displacements as data, applying both a gradient‑based and a genetic algorithm to minimize an error function, and analyze each algorithm’s efficiency relative to the error landscape. The genetic algorithm proved especially effective for identifying soil parameters when the error function topology is complex. © 2007 John Wiley & Sons, Ltd.
Abstract 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 © 2007 John Wiley & Sons, Ltd.
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Choice Reviews Online · 1998 · 1.4K citations
Architecture, Computational Engineering, Design Optimization +13