Parameter identification and elastic-plastic problems: Optimization strategies

Bibliographic Details
Main Author: Stahlschmidt J.*
Publication Date: 2011
Other Authors: Vaz Jr. M.*, Munoz-Rojas P.A.*, Cardoso, Eduardo Lenz
Format: Conference object
Language: eng
Source: Repositório Institucional da Udesc
dARK ID: ark:/33523/001300000prgk
Download full: https://repositorio.udesc.br/handle/UDESC/11067
Summary: Parameter identification is a technique which aims at determining model parameters based on a combination of experimental and numerical procedures. This work addresses identification of material parameters for elastic-plastic problems using optimization methods. Firstly, a comparative study is presented in which optimization techniques based on Genetic Algorithms, Univariate, Steepest Descent and BFGS methods are discussed. Identification of Carbon steel parameters based on tensile tests illustrates application of the BFGS, GA and GA-BFGS hybrid methods.
id UDESC-2_aced6845982ea1433d51859e3742a826
oai_identifier_str oai:repositorio.udesc.br:UDESC/11067
network_acronym_str UDESC-2
network_name_str Repositório Institucional da Udesc
repository_id_str 6391
spelling Parameter identification and elastic-plastic problems: Optimization strategiesParameter identification is a technique which aims at determining model parameters based on a combination of experimental and numerical procedures. This work addresses identification of material parameters for elastic-plastic problems using optimization methods. Firstly, a comparative study is presented in which optimization techniques based on Genetic Algorithms, Univariate, Steepest Descent and BFGS methods are discussed. Identification of Carbon steel parameters based on tensile tests illustrates application of the BFGS, GA and GA-BFGS hybrid methods.2024-12-07T21:02:40Z2011info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectp. 295 - 306https://repositorio.udesc.br/handle/UDESC/11067ark:/33523/001300000prgkComputational Plasticity XI - Fundamentals and Applications, COMPLAS XIStahlschmidt J.*Vaz Jr. M.*Munoz-Rojas P.A.*Cardoso, Eduardo Lenzengreponame:Repositório Institucional da Udescinstname:Universidade do Estado de Santa Catarina (UDESC)instacron:UDESCinfo:eu-repo/semantics/openAccess2024-12-07T21:02:40Zoai:repositorio.udesc.br:UDESC/11067Biblioteca Digital de Teses e Dissertaçõeshttps://pergamumweb.udesc.br/biblioteca/index.phpPRIhttps://repositorio-api.udesc.br/server/oai/requestri@udesc.bropendoar:63912024-12-07T21:02:40Repositório Institucional da Udesc - Universidade do Estado de Santa Catarina (UDESC)false
dc.title.none.fl_str_mv Parameter identification and elastic-plastic problems: Optimization strategies
title Parameter identification and elastic-plastic problems: Optimization strategies
spellingShingle Parameter identification and elastic-plastic problems: Optimization strategies
Stahlschmidt J.*
title_short Parameter identification and elastic-plastic problems: Optimization strategies
title_full Parameter identification and elastic-plastic problems: Optimization strategies
title_fullStr Parameter identification and elastic-plastic problems: Optimization strategies
title_full_unstemmed Parameter identification and elastic-plastic problems: Optimization strategies
title_sort Parameter identification and elastic-plastic problems: Optimization strategies
author Stahlschmidt J.*
author_facet Stahlschmidt J.*
Vaz Jr. M.*
Munoz-Rojas P.A.*
Cardoso, Eduardo Lenz
author_role author
author2 Vaz Jr. M.*
Munoz-Rojas P.A.*
Cardoso, Eduardo Lenz
author2_role author
author
author
dc.contributor.author.fl_str_mv Stahlschmidt J.*
Vaz Jr. M.*
Munoz-Rojas P.A.*
Cardoso, Eduardo Lenz
description Parameter identification is a technique which aims at determining model parameters based on a combination of experimental and numerical procedures. This work addresses identification of material parameters for elastic-plastic problems using optimization methods. Firstly, a comparative study is presented in which optimization techniques based on Genetic Algorithms, Univariate, Steepest Descent and BFGS methods are discussed. Identification of Carbon steel parameters based on tensile tests illustrates application of the BFGS, GA and GA-BFGS hybrid methods.
publishDate 2011
dc.date.none.fl_str_mv 2011
2024-12-07T21:02:40Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://repositorio.udesc.br/handle/UDESC/11067
dc.identifier.dark.fl_str_mv ark:/33523/001300000prgk
url https://repositorio.udesc.br/handle/UDESC/11067
identifier_str_mv ark:/33523/001300000prgk
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Computational Plasticity XI - Fundamentals and Applications, COMPLAS XI
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv p. 295 - 306
dc.source.none.fl_str_mv reponame:Repositório Institucional da Udesc
instname:Universidade do Estado de Santa Catarina (UDESC)
instacron:UDESC
instname_str Universidade do Estado de Santa Catarina (UDESC)
instacron_str UDESC
institution UDESC
reponame_str Repositório Institucional da Udesc
collection Repositório Institucional da Udesc
repository.name.fl_str_mv Repositório Institucional da Udesc - Universidade do Estado de Santa Catarina (UDESC)
repository.mail.fl_str_mv ri@udesc.br
_version_ 1842258157225639936

Similar Items