Towards a new methodology for the characterisation of crack tip fields based on a hybrid computational approach.

T1, Q1 (14/136 Mechanical Engineering; IF 2022 = 6)

Detalles Bibliográficos
Autores: Camacho-Reyes, Alonso, Vasco-Olmo, José M., James, M. Neil, Díaz, Francisco A.
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2022
País:España
Institución:Universidad de Jaén
Repositorio:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
OAI Identifier:oai:ruja.ujaen.es:10953/3761
Acceso en línea:https://doi.org/10.1016/j.ijfatigue.2022.106942.
https://hdl.handle.net/10953/3761
Access Level:acceso abierto
Palabra clave:Crack tip fields
Crack tip characterising parameters
CJP model
Hybrid optimisation
Crack tip location
Genetic algorithm
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spelling Towards a new methodology for the characterisation of crack tip fields based on a hybrid computational approach.Camacho-Reyes, AlonsoVasco-Olmo, José M.James, M. NeilDíaz, Francisco A.Crack tip fieldsCrack tip characterising parametersCJP modelHybrid optimisationCrack tip locationGenetic algorithmT1, Q1 (14/136 Mechanical Engineering; IF 2022 = 6)This work presents a hybrid optimisation technique for the simultaneous calculation of crack tip characterising parameters and its spatial location, which can significantly affect the characterising parameters if the position used is inaccurate. The hybrid technique combines initial use of a genetic algorithm to obtain a well-conditioned set of initial parameter values that is then passed to an interior point optimisation algorithm for subsequent fast optimisation. Use of the hybrid technique is also amenable to easy automation. The capability of the technique is demonstrated using the CJP crack tip field model, with digital image correlation (DIC) being used to measure the 2D crack tip displacement field. This model was chosen, not only for its demonstrated sensitivity to accuracy in crack tip location, but also for its proven utility in providing effective crack growth correlation in the presence of plasticity-induced shielding across a wide range of growth rates. The results obtained from the hybrid technique are shown to be reliable through comparison with results obtained using other established techniques.This work has been performed with financial support from the Junta de Andalucía through the research project “1380786” funded by the program “Proyectos de I + D + i en el Marco del Programa Operativo FEDER Andalucía 2014-2020. Convocatoria 2020”.Elsevier202520252022info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttps://doi.org/10.1016/j.ijfatigue.2022.106942.https://hdl.handle.net/10953/3761reponame:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaéninstname:Universidad de JaénInglésInternational Journal of Fatigue 2022; 162; 106942Atribución-NoComercial-SinDerivadas 3.0 Españahttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:ruja.ujaen.es:10953/37612026-06-24T12:41:07Z
dc.title.none.fl_str_mv Towards a new methodology for the characterisation of crack tip fields based on a hybrid computational approach.
title Towards a new methodology for the characterisation of crack tip fields based on a hybrid computational approach.
spellingShingle Towards a new methodology for the characterisation of crack tip fields based on a hybrid computational approach.
Camacho-Reyes, Alonso
Crack tip fields
Crack tip characterising parameters
CJP model
Hybrid optimisation
Crack tip location
Genetic algorithm
title_short Towards a new methodology for the characterisation of crack tip fields based on a hybrid computational approach.
title_full Towards a new methodology for the characterisation of crack tip fields based on a hybrid computational approach.
title_fullStr Towards a new methodology for the characterisation of crack tip fields based on a hybrid computational approach.
title_full_unstemmed Towards a new methodology for the characterisation of crack tip fields based on a hybrid computational approach.
title_sort Towards a new methodology for the characterisation of crack tip fields based on a hybrid computational approach.
dc.creator.none.fl_str_mv Camacho-Reyes, Alonso
Vasco-Olmo, José M.
James, M. Neil
Díaz, Francisco A.
author Camacho-Reyes, Alonso
author_facet Camacho-Reyes, Alonso
Vasco-Olmo, José M.
James, M. Neil
Díaz, Francisco A.
author_role author
author2 Vasco-Olmo, José M.
James, M. Neil
Díaz, Francisco A.
author2_role author
author
author
dc.subject.none.fl_str_mv Crack tip fields
Crack tip characterising parameters
CJP model
Hybrid optimisation
Crack tip location
Genetic algorithm
topic Crack tip fields
Crack tip characterising parameters
CJP model
Hybrid optimisation
Crack tip location
Genetic algorithm
description T1, Q1 (14/136 Mechanical Engineering; IF 2022 = 6)
publishDate 2022
dc.date.none.fl_str_mv 2022
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.1016/j.ijfatigue.2022.106942.
https://hdl.handle.net/10953/3761
url https://doi.org/10.1016/j.ijfatigue.2022.106942.
https://hdl.handle.net/10953/3761
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv International Journal of Fatigue 2022; 162; 106942
dc.rights.none.fl_str_mv Atribución-NoComercial-SinDerivadas 3.0 España
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial-SinDerivadas 3.0 España
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
instname:Universidad de Jaén
instname_str Universidad de Jaén
reponame_str RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
collection RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.812429

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