Table of Contents
Journal of Artificial Evolution and Applications
Volume 2008, Article ID 574613, 14 pages
Research Article

Inverse Parameter Identification Technique Using PSO Algorithm Applied to Geotechnical Modeling

1Labor für Bodenmechanik, Bauhaus-Universität Weimar, Coudraystraße 11 C, 99421 Weimar, Germany
2Dipartimento di Scienze della Terra, Università degli Studi di Modena e Reggio Emilia, Largo Sant' Eufemia 19, 41100 Modena, Italy

Received 24 July 2007; Accepted 14 January 2008

Academic Editor: Jim Kennedy

Copyright © 2008 Joerg Meier et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper presents a concept for the application of particle swarm optimization in geotechnical engineering. For the calculation of deformations in soil or rock, numerical simulations based on continuum methods are widely used. The material behavior is modeled using constitutive relations that require sets of material parameters to be specified. We present an inverse parameter identification technique, based on statistical analyses and a particle swarm optimization algorithm, to be used in the calibration process of geomechanical models. Its application is demonstrated with typical examples from the fields of soil mechanics and engineering geology. The results for two different laboratory tests and a natural slope clearly show that particle swarms are an efficient and fast tool for finding improved parameter sets to represent the measured reference data.