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AUTOMATED DETERMINATION OF CONSTITUTIVE PARAMETERS USING A METAHEURISTIC OPTIMIZATION METHOD IN SYNTHETIC EXPERIMENT

Pavel Koudela

First published: 2018-06-20https://doi.org/10.5593/sgem2018/1.2/s02.016View metrics

Abstract

Higher complexity of modern constitutive models often results in an increase of number of input parameters and time requirements for their calibration. Optimization methods provide a possible solution for this problem. A program application based on the metaheuristic optimization method Particle swarm optimization (PSO) is presented in the paper. The application consists of two parts: a subroutine with the PSO algorithm and a subroutine involving a finite element (FE) model of an analyzed construction. The subroutine with PSO governs input parameters modifications and evaluation of the objective function. Modified values of input parameters are then used in the FE model subroutine for calculation. Different alternatives of the PSO method are reviewed and tested in the first part of the paper. In the second part, a synthetic numerical experiment of pressuremeter test is used for automatically driven determination of input parameters for two constitutive models: Mohr ? Coulomb, Hardening soil. The procedure is able to perform fully automatic determination of input parameters values. However, when only single test is used, several combinations of input parameters might get to the same result. Future research will be therefore focused on a combination of multiple measurements (e. g. from different depths) used during the optimization task.

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Publication details

Title
AUTOMATED DETERMINATION OF CONSTITUTIVE PARAMETERS USING A METAHEURISTIC OPTIMIZATION METHOD IN SYNTHETIC EXPERIMENT
Authors
Pavel Koudela
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 18th International Multidisciplinary Scientific GeoConference SGEM2018, Science and Technologies in Geology, Exploration and Minining
Publisher
STEF92 Technology
Year
2018
Pages
121-128
SWS Citekey
Koudela20182121128
ISSN
1314-2704
ISBN
978-619-7408-36-2
Language
en
Publication type
Conference Paper
Keywords
constitutive modelsfinite element methodpressuremeter testmetaheuristicParticle swarm optimization
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