J_Calculation_PFP_JARM_EGT_IAS_SS_2021

This dataset contains the MATLAB code used to determine the elasto-plastic fracture toughness following the four different JR-curves construction approaches described in Fernandez-Pison et al. (2021). Additional files containing the data from an actual fracture toughness test are included (they are...

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Detalles Bibliográficos
Autor: Fernández-Pisón, Pilar
Tipo de recurso: conjunto de datos
Estado:Versión publicada
Fecha de publicación:2021
País:España
Institución:Consorcio Madroño
Repositorio:e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
OAI Identifier:doi:10.21950/XTQRTZ
Acceso en línea:https://doi.org/10.21950/XTQRTZ
Access Level:acceso abierto
Palabra clave:Engineering
Physics
MATLAB
Fracture toughness
J-R curve
J-integral
R-curve
crack growth
ASTM E1820
Compliance Method
unloading compliance
Normalization Technique
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spelling J_Calculation_PFP_JARM_EGT_IAS_SS_2021Fernández-Pisón, PilarEngineeringPhysicsMATLABFracture toughnessJ-R curveJ-integralR-curvecrack growthASTM E1820Compliance Methodunloading complianceNormalization TechniqueThis dataset contains the MATLAB code used to determine the elasto-plastic fracture toughness following the four different JR-curves construction approaches described in Fernandez-Pison et al. (2021). Additional files containing the data from an actual fracture toughness test are included (they are used as inputs in the main MATLAB code). <hr> References: Fernández-Pisón, P., Rodríguez-Martínez, J.A., García-Tabarés, E., Avilés-Santillana, I., Sgobba, S. Flow and fracture of austenitic stainless steels at cryogenic temperatures. <hr> Institutions: Spain (University Carlos III of Madrid), Switzerland (CERN)e-cienciaDatosFernández-Pisón, Pilar2021info:eu-repo/semantics/datasetinfo:eu-repo/semantics/publishedVersiontext/x-matlabtext/tab-separated-valuestext/x-matlabapplication/matlab-mattext/plainhttps://doi.org/10.21950/XTQRTZreponame:e-cienciaDatos, Repositorio de Datos del Consorcio Madroñoinstname:Consorcio MadroñoInglésinfo:eu-repo/grantAgreement/European Commission/77789/info:eu-repo/semantics/openAccessCC-BY-4.0doi:10.21950/XTQRTZ2026-05-29T06:25:11Z
dc.title.none.fl_str_mv J_Calculation_PFP_JARM_EGT_IAS_SS_2021
title J_Calculation_PFP_JARM_EGT_IAS_SS_2021
spellingShingle J_Calculation_PFP_JARM_EGT_IAS_SS_2021
Fernández-Pisón, Pilar
Engineering
Physics
MATLAB
Fracture toughness
J-R curve
J-integral
R-curve
crack growth
ASTM E1820
Compliance Method
unloading compliance
Normalization Technique
title_short J_Calculation_PFP_JARM_EGT_IAS_SS_2021
title_full J_Calculation_PFP_JARM_EGT_IAS_SS_2021
title_fullStr J_Calculation_PFP_JARM_EGT_IAS_SS_2021
title_full_unstemmed J_Calculation_PFP_JARM_EGT_IAS_SS_2021
title_sort J_Calculation_PFP_JARM_EGT_IAS_SS_2021
dc.creator.none.fl_str_mv Fernández-Pisón, Pilar
author Fernández-Pisón, Pilar
author_facet Fernández-Pisón, Pilar
author_role author
dc.contributor.none.fl_str_mv Fernández-Pisón, Pilar
dc.subject.none.fl_str_mv Engineering
Physics
MATLAB
Fracture toughness
J-R curve
J-integral
R-curve
crack growth
ASTM E1820
Compliance Method
unloading compliance
Normalization Technique
topic Engineering
Physics
MATLAB
Fracture toughness
J-R curve
J-integral
R-curve
crack growth
ASTM E1820
Compliance Method
unloading compliance
Normalization Technique
description This dataset contains the MATLAB code used to determine the elasto-plastic fracture toughness following the four different JR-curves construction approaches described in Fernandez-Pison et al. (2021). Additional files containing the data from an actual fracture toughness test are included (they are used as inputs in the main MATLAB code). <hr> References: Fernández-Pisón, P., Rodríguez-Martínez, J.A., García-Tabarés, E., Avilés-Santillana, I., Sgobba, S. Flow and fracture of austenitic stainless steels at cryogenic temperatures. <hr> Institutions: Spain (University Carlos III of Madrid), Switzerland (CERN)
publishDate 2021
dc.date.none.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/dataset
info:eu-repo/semantics/publishedVersion
format dataset
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.21950/XTQRTZ
url https://doi.org/10.21950/XTQRTZ
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/European Commission/77789/
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
CC-BY-4.0
eu_rights_str_mv openAccess
rights_invalid_str_mv CC-BY-4.0
dc.format.none.fl_str_mv text/x-matlab
text/tab-separated-values
text/x-matlab
application/matlab-mat
text/plain
dc.publisher.none.fl_str_mv e-cienciaDatos
publisher.none.fl_str_mv e-cienciaDatos
dc.source.none.fl_str_mv reponame:e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
instname:Consorcio Madroño
instname_str Consorcio Madroño
reponame_str e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
collection e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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