Dynamics of thin walled composite beams: Analysis of parametric uncertainties
- Autores
- Piovan, Marcelo Tulio; Ramirez, Jose Miguel; Sampaio, Rubens
- Año de publicación
- 2013
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- This article is concerned with the stochastic dynamic analysis of structures constructed with composite materials. Depending on many aspects (manufacturing process, material uncertainty, boundary conditions, etc.) real composite structures may have deviations with respect to the calculated response (or deterministic response). These aspects lead to a source of uncertainty in the structural response associated with constituent proportions, geometric parameters or other unexpected agents. Uncertainties should be considered in a structural system in order to improve the predictability of a given modeling scheme. In this study a model of shear deformable composite beams is employed as the mean model. The probabilistic model is constructed by adopting random variables for the uncertain parameters of the model. This strategy is called parametric probabilistic approach. The probability density functions of the random variables are constructed appealing to the Maximum Entropy Principle. The continuous model is discretised by finite elements and the Monte Carlo method is employed to perform the simulations, thereafter a statistical analysis is performed. Numerical studies are carried out to show the main advantages of the modeling strategies employed, as well as to quantify the propagation of the uncertainty in the dynamics of slender composite structures.
Fil: Piovan, Marcelo Tulio. Universidad Tecnológica Nacional. Facultad Regional Bahía Blanca; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahia Blanca; Argentina
Fil: Ramirez, Jose Miguel. Universidad Tecnológica Nacional. Facultad Regional Bahía Blanca; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahia Blanca; Argentina
Fil: Sampaio, Rubens. Pontificia Universidad Catolica Do Rio de Janeiro; Brasil - Materia
-
Uncertainty Quantification
Thin-Walled Beams
Dynamics
Parametric Probabilistic Approach
Shear Deformability
Composite Materials - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/12409
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Dynamics of thin walled composite beams: Analysis of parametric uncertaintiesPiovan, Marcelo TulioRamirez, Jose MiguelSampaio, RubensUncertainty QuantificationThin-Walled BeamsDynamicsParametric Probabilistic ApproachShear DeformabilityComposite Materialshttps://purl.org/becyt/ford/2.11https://purl.org/becyt/ford/2This article is concerned with the stochastic dynamic analysis of structures constructed with composite materials. Depending on many aspects (manufacturing process, material uncertainty, boundary conditions, etc.) real composite structures may have deviations with respect to the calculated response (or deterministic response). These aspects lead to a source of uncertainty in the structural response associated with constituent proportions, geometric parameters or other unexpected agents. Uncertainties should be considered in a structural system in order to improve the predictability of a given modeling scheme. In this study a model of shear deformable composite beams is employed as the mean model. The probabilistic model is constructed by adopting random variables for the uncertain parameters of the model. This strategy is called parametric probabilistic approach. The probability density functions of the random variables are constructed appealing to the Maximum Entropy Principle. The continuous model is discretised by finite elements and the Monte Carlo method is employed to perform the simulations, thereafter a statistical analysis is performed. Numerical studies are carried out to show the main advantages of the modeling strategies employed, as well as to quantify the propagation of the uncertainty in the dynamics of slender composite structures.Fil: Piovan, Marcelo Tulio. Universidad Tecnológica Nacional. Facultad Regional Bahía Blanca; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahia Blanca; ArgentinaFil: Ramirez, Jose Miguel. Universidad Tecnológica Nacional. Facultad Regional Bahía Blanca; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahia Blanca; ArgentinaFil: Sampaio, Rubens. Pontificia Universidad Catolica Do Rio de Janeiro; BrasilElsevier2013-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/12409Piovan, Marcelo Tulio; Ramirez, Jose Miguel; Sampaio, Rubens; Dynamics of thin walled composite beams: Analysis of parametric uncertainties; Elsevier; Composite Structures; 105; 5-2013; 14-280263-8223enginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0263822313002055info:eu-repo/semantics/altIdentifier/doi/10.1016/j.compstruct.2013.04.039info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:45:37Zoai:ri.conicet.gov.ar:11336/12409instacron: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:34982025-09-29 10:45:37.651CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Dynamics of thin walled composite beams: Analysis of parametric uncertainties |
title |
Dynamics of thin walled composite beams: Analysis of parametric uncertainties |
spellingShingle |
Dynamics of thin walled composite beams: Analysis of parametric uncertainties Piovan, Marcelo Tulio Uncertainty Quantification Thin-Walled Beams Dynamics Parametric Probabilistic Approach Shear Deformability Composite Materials |
title_short |
Dynamics of thin walled composite beams: Analysis of parametric uncertainties |
title_full |
Dynamics of thin walled composite beams: Analysis of parametric uncertainties |
title_fullStr |
Dynamics of thin walled composite beams: Analysis of parametric uncertainties |
title_full_unstemmed |
Dynamics of thin walled composite beams: Analysis of parametric uncertainties |
title_sort |
Dynamics of thin walled composite beams: Analysis of parametric uncertainties |
dc.creator.none.fl_str_mv |
Piovan, Marcelo Tulio Ramirez, Jose Miguel Sampaio, Rubens |
author |
Piovan, Marcelo Tulio |
author_facet |
Piovan, Marcelo Tulio Ramirez, Jose Miguel Sampaio, Rubens |
author_role |
author |
author2 |
Ramirez, Jose Miguel Sampaio, Rubens |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Uncertainty Quantification Thin-Walled Beams Dynamics Parametric Probabilistic Approach Shear Deformability Composite Materials |
topic |
Uncertainty Quantification Thin-Walled Beams Dynamics Parametric Probabilistic Approach Shear Deformability Composite Materials |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/2.11 https://purl.org/becyt/ford/2 |
dc.description.none.fl_txt_mv |
This article is concerned with the stochastic dynamic analysis of structures constructed with composite materials. Depending on many aspects (manufacturing process, material uncertainty, boundary conditions, etc.) real composite structures may have deviations with respect to the calculated response (or deterministic response). These aspects lead to a source of uncertainty in the structural response associated with constituent proportions, geometric parameters or other unexpected agents. Uncertainties should be considered in a structural system in order to improve the predictability of a given modeling scheme. In this study a model of shear deformable composite beams is employed as the mean model. The probabilistic model is constructed by adopting random variables for the uncertain parameters of the model. This strategy is called parametric probabilistic approach. The probability density functions of the random variables are constructed appealing to the Maximum Entropy Principle. The continuous model is discretised by finite elements and the Monte Carlo method is employed to perform the simulations, thereafter a statistical analysis is performed. Numerical studies are carried out to show the main advantages of the modeling strategies employed, as well as to quantify the propagation of the uncertainty in the dynamics of slender composite structures. Fil: Piovan, Marcelo Tulio. Universidad Tecnológica Nacional. Facultad Regional Bahía Blanca; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahia Blanca; Argentina Fil: Ramirez, Jose Miguel. Universidad Tecnológica Nacional. Facultad Regional Bahía Blanca; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahia Blanca; Argentina Fil: Sampaio, Rubens. Pontificia Universidad Catolica Do Rio de Janeiro; Brasil |
description |
This article is concerned with the stochastic dynamic analysis of structures constructed with composite materials. Depending on many aspects (manufacturing process, material uncertainty, boundary conditions, etc.) real composite structures may have deviations with respect to the calculated response (or deterministic response). These aspects lead to a source of uncertainty in the structural response associated with constituent proportions, geometric parameters or other unexpected agents. Uncertainties should be considered in a structural system in order to improve the predictability of a given modeling scheme. In this study a model of shear deformable composite beams is employed as the mean model. The probabilistic model is constructed by adopting random variables for the uncertain parameters of the model. This strategy is called parametric probabilistic approach. The probability density functions of the random variables are constructed appealing to the Maximum Entropy Principle. The continuous model is discretised by finite elements and the Monte Carlo method is employed to perform the simulations, thereafter a statistical analysis is performed. Numerical studies are carried out to show the main advantages of the modeling strategies employed, as well as to quantify the propagation of the uncertainty in the dynamics of slender composite structures. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-05 |
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/11336/12409 Piovan, Marcelo Tulio; Ramirez, Jose Miguel; Sampaio, Rubens; Dynamics of thin walled composite beams: Analysis of parametric uncertainties; Elsevier; Composite Structures; 105; 5-2013; 14-28 0263-8223 |
url |
http://hdl.handle.net/11336/12409 |
identifier_str_mv |
Piovan, Marcelo Tulio; Ramirez, Jose Miguel; Sampaio, Rubens; Dynamics of thin walled composite beams: Analysis of parametric uncertainties; Elsevier; Composite Structures; 105; 5-2013; 14-28 0263-8223 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0263822313002055 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.compstruct.2013.04.039 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-nd/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
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 |
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1844614495965544448 |
score |
13.070432 |