The paper presents an application of the inverse analysis to the identification of two models: a phase transformation model and a rheological model. The optimization algorithm for the inverse analysis was tested for various techniques of searching for the minimum: derivative-free and gradient methods, as well as genetic algorithms. Simulation results were validated for microalloyed niobium steel. An optimization strategy, which is adequate for the inverse analysis, is suggested.
@article{bwmeta1.element.bwnjournal-article-amcv14i4p549bwm,
author = {Szeliga, Danuta and Gaw\k ad, Jerzy and Pietrzyk, Maciej},
title = {Parameters identification of material models based on the inverse analysis},
journal = {International Journal of Applied Mathematics and Computer Science},
volume = {14},
year = {2004},
pages = {549-556},
zbl = {1077.74017},
language = {en},
url = {http://dml.mathdoc.fr/item/bwmeta1.element.bwnjournal-article-amcv14i4p549bwm}
}
Szeliga, Danuta; Gawąd, Jerzy; Pietrzyk, Maciej. Parameters identification of material models based on the inverse analysis. International Journal of Applied Mathematics and Computer Science, Tome 14 (2004) pp. 549-556. http://gdmltest.u-ga.fr/item/bwmeta1.element.bwnjournal-article-amcv14i4p549bwm/
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