Genetic Algorithms for the Calibration of Constitutive Models for Soils

Autor:	Prasad Samarajiva, Emir José Macari, Wije Wathugala
Rok vydání:	2005
Předmět:	Set (abstract data type) Engineering Mathematical optimization Fitness function Meta-optimization business.industry Fitness approximation Calibration (statistics) Numerical analysis Genetic algorithm Soil Science business Material properties
Zdroj:	International Journal of Geomechanics. 5:206-217
ISSN:	1943-5622 1532-3641
DOI:	10.1061/(asce)1532-3641(2005)5:3(206)
Popis:	This paper presents a study that uses an innovative numerical method called the “genetic algorithm” for material parameter optimization in constitutive modeling. The paper introduces a new scheme, a fitness function, to estimate the error of predicted behavior due to a given set of material parameters. Optimization efficiency of the proposed fitness function is analyzed by changing the selected genetic algorithm parameters. The genetic algorithm and the new fitness function were found to be capable of optimizing material parameters of complex constitutive models.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::befd7f57a8329dc0184a36eb670f9c6c https://doi.org/10.1061/(asce)1532-3641(2005)5:3(206) Zobrazit plný text záznamu Plný text ve formátu PDF