Inverse analysis and DIC as tools to determine material parameters in isotropic metal plasticity models with isotropic strain hardening

Marcin Daniel Gajewski , Łukasz Kowalewski


The main objective of this study is to estimate the accuracy of the method for the determination of material parameters based on laboratory data from a single experiment conducted on a sample working in a nonuniform stress state, registered by the digital image correlation system (DIC). The idea of the method is based on the inverse analysis, in which the material parameters are determined by the optimization procedures using the cost function being the result of comparison of the laboratory data with the results of FEM simulation, wherein the whole deformation areas are taken into account. This paper presents the method described above applied on the determination of isotropic hardening parameters for an aluminum alloy material. Tests were carried out on the aluminum plates with nonuniform geometry subjected to tensile deformation. A comparison of the effect of sample geometry on the results was made, and an analysis of the impact of variation of material parameters on the value of the cost function was carried out.
Author Marcin Daniel Gajewski (FCE / ICE)
Marcin Daniel Gajewski,,
- The Institute of Civil Engineering
, Łukasz Kowalewski (FCE / ICE)
Łukasz Kowalewski ,,
- The Institute of Civil Engineering
Journal seriesMaterials Testing (MATERIALPRUFUNG), ISSN 0025-5300
Issue year2016
Publication size in sheets0.5
Keywords in PolishFEM, pręty cienkościenne
Keywords in Englishstrength of materials
ASJC Classification2210 Mechanical Engineering; 2211 Mechanics of Materials; 2500 General Materials Science
Languageen angielski
Score (nominal)15
Score sourcejournalList
ScoreMinisterial score = 15.0, 27-01-2020, ArticleFromJournal
Ministerial score (2013-2016) = 15.0, 27-01-2020, ArticleFromJournal
Publication indicators Scopus Citations = 4; WoS Citations = 2; Scopus SNIP (Source Normalised Impact per Paper): 2016 = 0.401; WoS Impact Factor: 2016 = 0.418 (2) - 2016=0.367 (5)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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