Semi-analytic parameter identification for complex yield functions

This paper presents a new parameter identification scheme for complex yield criteria of sheet metals using experimentally determined load and strain distributions and combining analytical stress analysis on sectional strain data with common inverse analysis. The approach is suitable for specimen wit...

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Main Authors: Küsters Niklas, Brosius Alexander
Format: Article
Language:English
Published: EDP Sciences 2016-01-01
Series:MATEC Web of Conferences
Online Access:http://dx.doi.org/10.1051/matecconf/20168010002
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author Küsters Niklas
Brosius Alexander
author_facet Küsters Niklas
Brosius Alexander
author_sort Küsters Niklas
collection DOAJ
description This paper presents a new parameter identification scheme for complex yield criteria of sheet metals using experimentally determined load and strain distributions and combining analytical stress analysis on sectional strain data with common inverse analysis. The approach is suitable for specimen with a non-homogenous strain distribution in the specimen and reduces computing time compared to common methods like iteratively updated FEM considerably. It serves to identify a set of material parameters in a fast and precise manner, describing the material behaviour.
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spelling doaj.art-960dffd0f4994bedbcb8933f9b83e75e2022-12-21T19:59:17ZengEDP SciencesMATEC Web of Conferences2261-236X2016-01-01801000210.1051/matecconf/20168010002matecconf_numi2016_10002Semi-analytic parameter identification for complex yield functionsKüsters Niklas0Brosius Alexander1Institute of Manufacturing Technology, Chair of Forming and Machining ProcessesInstitute of Manufacturing Technology, Chair of Forming and Machining ProcessesThis paper presents a new parameter identification scheme for complex yield criteria of sheet metals using experimentally determined load and strain distributions and combining analytical stress analysis on sectional strain data with common inverse analysis. The approach is suitable for specimen with a non-homogenous strain distribution in the specimen and reduces computing time compared to common methods like iteratively updated FEM considerably. It serves to identify a set of material parameters in a fast and precise manner, describing the material behaviour.http://dx.doi.org/10.1051/matecconf/20168010002
spellingShingle Küsters Niklas
Brosius Alexander
Semi-analytic parameter identification for complex yield functions
MATEC Web of Conferences
title Semi-analytic parameter identification for complex yield functions
title_full Semi-analytic parameter identification for complex yield functions
title_fullStr Semi-analytic parameter identification for complex yield functions
title_full_unstemmed Semi-analytic parameter identification for complex yield functions
title_short Semi-analytic parameter identification for complex yield functions
title_sort semi analytic parameter identification for complex yield functions
url http://dx.doi.org/10.1051/matecconf/20168010002
work_keys_str_mv AT kustersniklas semianalyticparameteridentificationforcomplexyieldfunctions
AT brosiusalexander semianalyticparameteridentificationforcomplexyieldfunctions