Single-and multi-objective genetic algorithm optimization for identifying soil parameters

SUMMARY This paper discusses the quality of the procedure employed in identifying soil parameters by inverse analysis. This procedure includes a FEM‐simulation for which two constitutive models—a linear elastic perfectly plastic Mohr–Coulomb model and a strain‐hardening elasto‐plastic model—are succ...

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Bibliographic Details
Published in:	International journal for numerical and analytical methods in geomechanics Vol. 36; no. 5; pp. 597 - 618
Main Authors:	Papon, A., Riou, Y., Dano, C., Hicher, P.-Y.
Format:	Journal Article
Language:	English
Published:	Chichester, UK John Wiley & Sons, Ltd 10.04.2012 Wiley
Subjects:	Applied sciences Buildings. Public works Civil Engineering Computation methods. Tables. Charts Engineering Sciences Exact sciences and technology genetic algorithms Geotechnics Géotechnique inverse analysis multi-objective algorithm Soil investigations. Testing soil parameter identification Structural analysis. Stresses Footing Multiobjective programming Property of soil Identification genetic algorithms Forecast model Modeling Optimization Inverse problem Experimental result Genetic algorithm Soil test Formulation Parameter inverse analysis multi-objective algorithm Comparative study soil parameter identification
ISSN:	0363-9061, 1096-9853
Online Access:	Get full text
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