Dynamics of magneto electro elastic curved beams: Quantification of parametric uncertainties
- Autores
- Piovan, Marcelo Tulio; Olmedo, J. F.; Sampaio, Rubens
- Año de publicación
- 2015
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The objective of this paper is the evaluation of uncertainty propagation associated to several parameters in the dynamics of magneto-electro-elastic (MEE) curved beams. These MEE structures can be employed as imbedded parts in high performance technological systems to control motions and/or attenuate vibrations, for energy harvesting, etc. Although a lot of research connected with these structures was done for dynamics and statics, it is remarkable the scarcity of articles analyzing random dynamics of MEE structure, provided that many models have uncertainties associated to their parameters: loads and/or material properties, among others. A theory for MEE curved beams is derived and assumed as the deterministic model. The response is calculated by means of a finite element formulation. The probabilistic model is constructed appealing to the finite element formulation of the deterministic approach, by adopting random variables for the uncertain parameters selected. The probability density functions of the random variables are derived with the Maximum Entropy Principle. The Monte Carlo method is used to perform simulations with independent realizations. Studies are carried out in order to evaluate the influence of Magneto-elastic and/or piezoelectric coupling in the dynamics of MEE curved beams in both contexts: the deterministic and the stochastic.
Fil: Piovan, Marcelo Tulio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Tecnológica Nacional. Facultad Regional Bahía Blanca; Argentina. Universidad de las Fuerzas Armadas; Ecuador
Fil: Olmedo, J. F.. Universidad de las Fuerzas Armadas; Ecuador
Fil: Sampaio, Rubens. Pontifícia Universidade Católica do Rio de Janeiro; Brasil - Materia
-
Mee Structures
Curved Beams
Uncertainty Quantification
Composite Materials - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/43794
Ver los metadatos del registro completo
id |
CONICETDig_1c1b4e8c7c9d3b417d2aee9f4862bcf2 |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/43794 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
network_name_str |
CONICET Digital (CONICET) |
spelling |
Dynamics of magneto electro elastic curved beams: Quantification of parametric uncertaintiesPiovan, Marcelo TulioOlmedo, J. F.Sampaio, RubensMee StructuresCurved BeamsUncertainty QuantificationComposite Materialshttps://purl.org/becyt/ford/2.3https://purl.org/becyt/ford/2The objective of this paper is the evaluation of uncertainty propagation associated to several parameters in the dynamics of magneto-electro-elastic (MEE) curved beams. These MEE structures can be employed as imbedded parts in high performance technological systems to control motions and/or attenuate vibrations, for energy harvesting, etc. Although a lot of research connected with these structures was done for dynamics and statics, it is remarkable the scarcity of articles analyzing random dynamics of MEE structure, provided that many models have uncertainties associated to their parameters: loads and/or material properties, among others. A theory for MEE curved beams is derived and assumed as the deterministic model. The response is calculated by means of a finite element formulation. The probabilistic model is constructed appealing to the finite element formulation of the deterministic approach, by adopting random variables for the uncertain parameters selected. The probability density functions of the random variables are derived with the Maximum Entropy Principle. The Monte Carlo method is used to perform simulations with independent realizations. Studies are carried out in order to evaluate the influence of Magneto-elastic and/or piezoelectric coupling in the dynamics of MEE curved beams in both contexts: the deterministic and the stochastic.Fil: Piovan, Marcelo Tulio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Tecnológica Nacional. Facultad Regional Bahía Blanca; Argentina. Universidad de las Fuerzas Armadas; EcuadorFil: Olmedo, J. F.. Universidad de las Fuerzas Armadas; EcuadorFil: Sampaio, Rubens. Pontifícia Universidade Católica do Rio de Janeiro; BrasilElsevier2015-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/43794Piovan, Marcelo Tulio; Olmedo, J. F.; Sampaio, Rubens; Dynamics of magneto electro elastic curved beams: Quantification of parametric uncertainties; Elsevier; Composite Structures; 133; 1-12-2015; 621-6290263-8223CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0263822315006303?via%3Dihubinfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.compstruct.2015.07.084info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:47:41Zoai:ri.conicet.gov.ar:11336/43794instacron: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 09:47:41.375CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Dynamics of magneto electro elastic curved beams: Quantification of parametric uncertainties |
title |
Dynamics of magneto electro elastic curved beams: Quantification of parametric uncertainties |
spellingShingle |
Dynamics of magneto electro elastic curved beams: Quantification of parametric uncertainties Piovan, Marcelo Tulio Mee Structures Curved Beams Uncertainty Quantification Composite Materials |
title_short |
Dynamics of magneto electro elastic curved beams: Quantification of parametric uncertainties |
title_full |
Dynamics of magneto electro elastic curved beams: Quantification of parametric uncertainties |
title_fullStr |
Dynamics of magneto electro elastic curved beams: Quantification of parametric uncertainties |
title_full_unstemmed |
Dynamics of magneto electro elastic curved beams: Quantification of parametric uncertainties |
title_sort |
Dynamics of magneto electro elastic curved beams: Quantification of parametric uncertainties |
dc.creator.none.fl_str_mv |
Piovan, Marcelo Tulio Olmedo, J. F. Sampaio, Rubens |
author |
Piovan, Marcelo Tulio |
author_facet |
Piovan, Marcelo Tulio Olmedo, J. F. Sampaio, Rubens |
author_role |
author |
author2 |
Olmedo, J. F. Sampaio, Rubens |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Mee Structures Curved Beams Uncertainty Quantification Composite Materials |
topic |
Mee Structures Curved Beams Uncertainty Quantification Composite Materials |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/2.3 https://purl.org/becyt/ford/2 |
dc.description.none.fl_txt_mv |
The objective of this paper is the evaluation of uncertainty propagation associated to several parameters in the dynamics of magneto-electro-elastic (MEE) curved beams. These MEE structures can be employed as imbedded parts in high performance technological systems to control motions and/or attenuate vibrations, for energy harvesting, etc. Although a lot of research connected with these structures was done for dynamics and statics, it is remarkable the scarcity of articles analyzing random dynamics of MEE structure, provided that many models have uncertainties associated to their parameters: loads and/or material properties, among others. A theory for MEE curved beams is derived and assumed as the deterministic model. The response is calculated by means of a finite element formulation. The probabilistic model is constructed appealing to the finite element formulation of the deterministic approach, by adopting random variables for the uncertain parameters selected. The probability density functions of the random variables are derived with the Maximum Entropy Principle. The Monte Carlo method is used to perform simulations with independent realizations. Studies are carried out in order to evaluate the influence of Magneto-elastic and/or piezoelectric coupling in the dynamics of MEE curved beams in both contexts: the deterministic and the stochastic. Fil: Piovan, Marcelo Tulio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Tecnológica Nacional. Facultad Regional Bahía Blanca; Argentina. Universidad de las Fuerzas Armadas; Ecuador Fil: Olmedo, J. F.. Universidad de las Fuerzas Armadas; Ecuador Fil: Sampaio, Rubens. Pontifícia Universidade Católica do Rio de Janeiro; Brasil |
description |
The objective of this paper is the evaluation of uncertainty propagation associated to several parameters in the dynamics of magneto-electro-elastic (MEE) curved beams. These MEE structures can be employed as imbedded parts in high performance technological systems to control motions and/or attenuate vibrations, for energy harvesting, etc. Although a lot of research connected with these structures was done for dynamics and statics, it is remarkable the scarcity of articles analyzing random dynamics of MEE structure, provided that many models have uncertainties associated to their parameters: loads and/or material properties, among others. A theory for MEE curved beams is derived and assumed as the deterministic model. The response is calculated by means of a finite element formulation. The probabilistic model is constructed appealing to the finite element formulation of the deterministic approach, by adopting random variables for the uncertain parameters selected. The probability density functions of the random variables are derived with the Maximum Entropy Principle. The Monte Carlo method is used to perform simulations with independent realizations. Studies are carried out in order to evaluate the influence of Magneto-elastic and/or piezoelectric coupling in the dynamics of MEE curved beams in both contexts: the deterministic and the stochastic. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-12-01 |
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/11336/43794 Piovan, Marcelo Tulio; Olmedo, J. F.; Sampaio, Rubens; Dynamics of magneto electro elastic curved beams: Quantification of parametric uncertainties; Elsevier; Composite Structures; 133; 1-12-2015; 621-629 0263-8223 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/43794 |
identifier_str_mv |
Piovan, Marcelo Tulio; Olmedo, J. F.; Sampaio, Rubens; Dynamics of magneto electro elastic curved beams: Quantification of parametric uncertainties; Elsevier; Composite Structures; 133; 1-12-2015; 621-629 0263-8223 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0263822315006303?via%3Dihub info:eu-repo/semantics/altIdentifier/doi/10.1016/j.compstruct.2015.07.084 |
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 |
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 |
_version_ |
1844613485273546752 |
score |
13.070432 |