BAYESIAN INFERENCE OF HETEROGENEOUS VISCOPLASTIC MATERIAL PARAMETERS

<p>Modelling of heterogeneous materials based on randomness of model input parameters involves parameter identification which is focused on solving a stochastic inversion problem. It can be formulated as a search for probabilistic description of model parameters providing the distribution of t...

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Main Authors: Eliška Janouchová, Anna Kučerová
Format: Article
Language:English
Published: Czech Technical University in Prague 2018-12-01
Series:Acta Polytechnica CTU Proceedings
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Online Access:https://ojs.cvut.cz/ojs/index.php/APP/article/view/5322
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author Eliška Janouchová
Anna Kučerová
author_facet Eliška Janouchová
Anna Kučerová
author_sort Eliška Janouchová
collection DOAJ
description <p>Modelling of heterogeneous materials based on randomness of model input parameters involves parameter identification which is focused on solving a stochastic inversion problem. It can be formulated as a search for probabilistic description of model parameters providing the distribution of the model response corresponding to the distribution of the observed data</p><p>In this contribution, a numerical model of kinematic and isotropic hardening for viscoplastic material is calibrated on a basis of experimental data from a cyclic loading test at a high temperature. Five material model parameters are identified in probabilistic setting. The core of the identification method is the Bayesian inference of uncertain statistical moments of a prescribed joint lognormal distribution of the parameters. At first, synthetic experimental data are used to verify the identification procedure, then the real experimental data are processed to calibrate the material model of copper alloy.</p>
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series Acta Polytechnica CTU Proceedings
spelling doaj-art-ef5df00f5e3b49c396b6c83d3fdf1f3e2025-08-20T03:22:42ZengCzech Technical University in PragueActa Polytechnica CTU Proceedings2336-53822018-12-01150414510.14311/APP.2018.15.00414344BAYESIAN INFERENCE OF HETEROGENEOUS VISCOPLASTIC MATERIAL PARAMETERSEliška JanouchováAnna Kučerová<p>Modelling of heterogeneous materials based on randomness of model input parameters involves parameter identification which is focused on solving a stochastic inversion problem. It can be formulated as a search for probabilistic description of model parameters providing the distribution of the model response corresponding to the distribution of the observed data</p><p>In this contribution, a numerical model of kinematic and isotropic hardening for viscoplastic material is calibrated on a basis of experimental data from a cyclic loading test at a high temperature. Five material model parameters are identified in probabilistic setting. The core of the identification method is the Bayesian inference of uncertain statistical moments of a prescribed joint lognormal distribution of the parameters. At first, synthetic experimental data are used to verify the identification procedure, then the real experimental data are processed to calibrate the material model of copper alloy.</p>https://ojs.cvut.cz/ojs/index.php/APP/article/view/5322parameter identification, Bayesian inference, hierarchical modelling, aleatory uncertainty, kinematic and isotropic hardening
spellingShingle Eliška Janouchová
Anna Kučerová
BAYESIAN INFERENCE OF HETEROGENEOUS VISCOPLASTIC MATERIAL PARAMETERS
Acta Polytechnica CTU Proceedings
parameter identification, Bayesian inference, hierarchical modelling, aleatory uncertainty, kinematic and isotropic hardening
title BAYESIAN INFERENCE OF HETEROGENEOUS VISCOPLASTIC MATERIAL PARAMETERS
title_full BAYESIAN INFERENCE OF HETEROGENEOUS VISCOPLASTIC MATERIAL PARAMETERS
title_fullStr BAYESIAN INFERENCE OF HETEROGENEOUS VISCOPLASTIC MATERIAL PARAMETERS
title_full_unstemmed BAYESIAN INFERENCE OF HETEROGENEOUS VISCOPLASTIC MATERIAL PARAMETERS
title_short BAYESIAN INFERENCE OF HETEROGENEOUS VISCOPLASTIC MATERIAL PARAMETERS
title_sort bayesian inference of heterogeneous viscoplastic material parameters
topic parameter identification, Bayesian inference, hierarchical modelling, aleatory uncertainty, kinematic and isotropic hardening
url https://ojs.cvut.cz/ojs/index.php/APP/article/view/5322
work_keys_str_mv AT eliskajanouchova bayesianinferenceofheterogeneousviscoplasticmaterialparameters
AT annakucerova bayesianinferenceofheterogeneousviscoplasticmaterialparameters