date: 2020-10-06T15:30:35Z pdf:PDFVersion: 1.7 pdf:docinfo:title: An efficient and robust approach to determine material parameters of crystal plasticity constitutive laws from macro-scale stress?strain curves xmp:CreatorTool: Elsevier access_permission:can_print_degraded: true subject: International Journal of Plasticity, 134 (2020) 102779. doi:10.1016/j.ijplas.2020.102779 language: en dc:format: application/pdf; version=1.7 pdf:docinfo:creator_tool: Elsevier access_permission:fill_in_form: true pdf:encrypted: false dc:title: An efficient and robust approach to determine material parameters of crystal plasticity constitutive laws from macro-scale stress?strain curves modified: 2020-10-06T15:30:35Z cp:subject: International Journal of Plasticity, 134 (2020) 102779. doi:10.1016/j.ijplas.2020.102779 pdf:docinfo:subject: International Journal of Plasticity, 134 (2020) 102779. doi:10.1016/j.ijplas.2020.102779 pdf:docinfo:creator: K. Sedighiani meta:author: M. Diehl meta:creation-date: 2020-10-06T14:14:53Z created: 2020-10-06T14:14:53Z access_permission:extract_for_accessibility: true Creation-Date: 2020-10-06T14:14:53Z Author: M. Diehl producer: Acrobat Distiller 8.1.0 (Windows) pdf:docinfo:producer: Acrobat Distiller 8.1.0 (Windows) pdf:unmappedUnicodeCharsPerPage: 0 dc:description: International Journal of Plasticity, 134 (2020) 102779. doi:10.1016/j.ijplas.2020.102779 Keywords: Crystal plasticity,Parameter identification,Polycrystals,Optimization,Genetic algorithm access_permission:modify_annotations: true dc:creator: M. Diehl description: International Journal of Plasticity, 134 (2020) 102779. doi:10.1016/j.ijplas.2020.102779 dcterms:created: 2020-10-06T14:14:53Z Last-Modified: 2020-10-06T15:30:35Z dcterms:modified: 2020-10-06T15:30:35Z title: An efficient and robust approach to determine material parameters of crystal plasticity constitutive laws from macro-scale stress?strain curves xmpMM:DocumentID: uuid:1b499bed-4ce8-4c0c-b682-0d58baae1cbe Last-Save-Date: 2020-10-06T15:30:35Z pdf:docinfo:keywords: Crystal plasticity,Parameter identification,Polycrystals,Optimization,Genetic algorithm pdf:docinfo:modified: 2020-10-06T15:30:35Z meta:save-date: 2020-10-06T15:30:35Z Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: M. Diehl dc:language: en dc:subject: Crystal plasticity,Parameter identification,Polycrystals,Optimization,Genetic algorithm access_permission:assemble_document: true xmpTPg:NPages: 28 pdf:charsPerPage: 3640 access_permission:extract_content: true access_permission:can_print: true meta:keyword: Crystal plasticity,Parameter identification,Polycrystals,Optimization,Genetic algorithm access_permission:can_modify: true pdf:docinfo:created: 2020-10-06T14:14:53Z