Computational modelling in protective engineering research: Recent advances and good practice

Autores
Lu, Yong; Ambrosini, Ricardo Daniel
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Protective engineering has attracted significant renewed research interest in recent years. In the development to tackle the challenges arising from the needs of in-depth and detailed information about the complex dynamic structural and material responses, the use of sophisticated computational modelling has become a seemingly indispensable means. Apart from being driven by the traditional difficulties when it comes to performing physical experiments for the types of extreme loads concerned, the trend has been fuelled by the rapid advancement in the computing power and software capabilities. It is not difficult nowadays for an analyst to model even quite complex loading and nonlinear responses using just a desk-top computer. On the balancing side, however, we should always be reminded that the ability to exploit the modelling capabilities and make good sense of the results is still and will remain to be dependent upon sound comprehension of the underlying mechanics and physical processes, as well as calibration of the models by comparison with experimental results.
Fil: Lu, Yong. University of Edimburg. School of Ingeenering; Reino Unido
Fil: Ambrosini, Ricardo Daniel. Universidad Nacional de Cuyo. Facultad de Ingenieria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mendoza; Argentina
Materia
Blast Loadings
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/7364
Acceder
id CONICETDig_ff90194e7506ed7e55e3c3a4a8400df5
oai_identifier_str oai:ri.conicet.gov.ar:11336/7364
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Computational modelling in protective engineering research: Recent advances and good practiceLu, YongAmbrosini, Ricardo DanielBlast Loadingshttps://purl.org/becyt/ford/2.1https://purl.org/becyt/ford/2Protective engineering has attracted significant renewed research interest in recent years. In the development to tackle the challenges arising from the needs of in-depth and detailed information about the complex dynamic structural and material responses, the use of sophisticated computational modelling has become a seemingly indispensable means. Apart from being driven by the traditional difficulties when it comes to performing physical experiments for the types of extreme loads concerned, the trend has been fuelled by the rapid advancement in the computing power and software capabilities. It is not difficult nowadays for an analyst to model even quite complex loading and nonlinear responses using just a desk-top computer. On the balancing side, however, we should always be reminded that the ability to exploit the modelling capabilities and make good sense of the results is still and will remain to be dependent upon sound comprehension of the underlying mechanics and physical processes, as well as calibration of the models by comparison with experimental results.Fil: Lu, Yong. University of Edimburg. School of Ingeenering; Reino UnidoFil: Ambrosini, Ricardo Daniel. Universidad Nacional de Cuyo. Facultad de Ingenieria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mendoza; ArgentinaInternational Association of Protective Structures2013-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/7364Lu, Yong; Ambrosini, Ricardo Daniel; Computational modelling in protective engineering research: Recent advances and good practice; International Association of Protective Structures; International Journal of Protective Structures; 4; 3; 9-2013; 12041-4196enginfo:eu-repo/semantics/altIdentifier/url/http://prs.sagepub.com/content/4/3/i.extractinfo:eu-repo/semantics/altIdentifier/doi/10.1260/2041-4196.4.3.iinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-08-25T15:33:01Zoai:ri.conicet.gov.ar:11336/7364instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982026-08-25 15:33:01.779CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Computational modelling in protective engineering research: Recent advances and good practice
title Computational modelling in protective engineering research: Recent advances and good practice
spellingShingle Computational modelling in protective engineering research: Recent advances and good practice
Lu, Yong
Blast Loadings
title_short Computational modelling in protective engineering research: Recent advances and good practice
title_full Computational modelling in protective engineering research: Recent advances and good practice
title_fullStr Computational modelling in protective engineering research: Recent advances and good practice
title_full_unstemmed Computational modelling in protective engineering research: Recent advances and good practice
title_sort Computational modelling in protective engineering research: Recent advances and good practice
dc.creator.none.fl_str_mv Lu, Yong
Ambrosini, Ricardo Daniel
author Lu, Yong
author_facet Lu, Yong
Ambrosini, Ricardo Daniel
author_role author
author2 Ambrosini, Ricardo Daniel
author2_role author
dc.subject.none.fl_str_mv Blast Loadings
topic Blast Loadings
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.1
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Protective engineering has attracted significant renewed research interest in recent years. In the development to tackle the challenges arising from the needs of in-depth and detailed information about the complex dynamic structural and material responses, the use of sophisticated computational modelling has become a seemingly indispensable means. Apart from being driven by the traditional difficulties when it comes to performing physical experiments for the types of extreme loads concerned, the trend has been fuelled by the rapid advancement in the computing power and software capabilities. It is not difficult nowadays for an analyst to model even quite complex loading and nonlinear responses using just a desk-top computer. On the balancing side, however, we should always be reminded that the ability to exploit the modelling capabilities and make good sense of the results is still and will remain to be dependent upon sound comprehension of the underlying mechanics and physical processes, as well as calibration of the models by comparison with experimental results.
Fil: Lu, Yong. University of Edimburg. School of Ingeenering; Reino Unido
Fil: Ambrosini, Ricardo Daniel. Universidad Nacional de Cuyo. Facultad de Ingenieria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mendoza; Argentina
description Protective engineering has attracted significant renewed research interest in recent years. In the development to tackle the challenges arising from the needs of in-depth and detailed information about the complex dynamic structural and material responses, the use of sophisticated computational modelling has become a seemingly indispensable means. Apart from being driven by the traditional difficulties when it comes to performing physical experiments for the types of extreme loads concerned, the trend has been fuelled by the rapid advancement in the computing power and software capabilities. It is not difficult nowadays for an analyst to model even quite complex loading and nonlinear responses using just a desk-top computer. On the balancing side, however, we should always be reminded that the ability to exploit the modelling capabilities and make good sense of the results is still and will remain to be dependent upon sound comprehension of the underlying mechanics and physical processes, as well as calibration of the models by comparison with experimental results.
publishDate 2013
dc.date.none.fl_str_mv 2013-09
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/7364
Lu, Yong; Ambrosini, Ricardo Daniel; Computational modelling in protective engineering research: Recent advances and good practice; International Association of Protective Structures; International Journal of Protective Structures; 4; 3; 9-2013; 1
2041-4196
url http://hdl.handle.net/11336/7364
identifier_str_mv Lu, Yong; Ambrosini, Ricardo Daniel; Computational modelling in protective engineering research: Recent advances and good practice; International Association of Protective Structures; International Journal of Protective Structures; 4; 3; 9-2013; 1
2041-4196
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://prs.sagepub.com/content/4/3/i.extract
info:eu-repo/semantics/altIdentifier/doi/10.1260/2041-4196.4.3.i
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv International Association of Protective Structures
publisher.none.fl_str_mv International Association of Protective Structures
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1874775472434315264
score 13.24418

Publicaciones similares