Self-damping of Optical Ground Wire Cables: A Bayesian Approach

Autores
Campos, Damián Federico; Löser, Enrique Eduardo; Piovan, Marcelo Tulio
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The empirical Power Law model has a long usage history in cable self-damping studies, and several types of research have been done to characterize its parameters for various types of cables. In this work, a novel Bayesian model calibration framework is proposed and applied to study self-damping Optical Ground Wire (OPGW) cables. This technique then combines experimental and statistical approaches to obtain the confidence intervals for each parameter and characterize the different regions where the model presents other behaviors. The results enable a better calibration of the model's parameters and agree with the trends already set in the literature. They also provide a new understanding of the model and estimate different uncertainties its application entices
Fil: Campos, Damián Federico. Universidad Nacional del Comahue. Facultad de Ingeniería; Argentina
Fil: Löser, Enrique Eduardo. Universidad Nacional del Comahue. Facultad de Ingeniería; Argentina
Fil: Piovan, Marcelo Tulio. Universidad Tecnológica Nacional. Facultad Regional Bahía Blanca; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina
Materia
AEOLIAN VIBRATIONS
BAYESIAN INFERENCE
OPGW CABLES
SELF-DAMPING
UNCERTAINTY QUANTIFICATION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/219035
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/219035
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Self-damping of Optical Ground Wire Cables: A Bayesian ApproachCampos, Damián FedericoLöser, Enrique EduardoPiovan, Marcelo TulioAEOLIAN VIBRATIONSBAYESIAN INFERENCEOPGW CABLESSELF-DAMPINGUNCERTAINTY QUANTIFICATIONhttps://purl.org/becyt/ford/2.3https://purl.org/becyt/ford/2The empirical Power Law model has a long usage history in cable self-damping studies, and several types of research have been done to characterize its parameters for various types of cables. In this work, a novel Bayesian model calibration framework is proposed and applied to study self-damping Optical Ground Wire (OPGW) cables. This technique then combines experimental and statistical approaches to obtain the confidence intervals for each parameter and characterize the different regions where the model presents other behaviors. The results enable a better calibration of the model's parameters and agree with the trends already set in the literature. They also provide a new understanding of the model and estimate different uncertainties its application enticesFil: Campos, Damián Federico. Universidad Nacional del Comahue. Facultad de Ingeniería; ArgentinaFil: Löser, Enrique Eduardo. Universidad Nacional del Comahue. Facultad de Ingeniería; ArgentinaFil: Piovan, Marcelo Tulio. Universidad Tecnológica Nacional. Facultad Regional Bahía Blanca; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; ArgentinaShahid Chamran University of Ahvaz. Faculty of Engineering2023-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/219035Campos, Damián Federico; Löser, Enrique Eduardo; Piovan, Marcelo Tulio; Self-damping of Optical Ground Wire Cables: A Bayesian Approach; Shahid Chamran University of Ahvaz. Faculty of Engineering; Journal of Applied and Computational Mechanics; 9; 1; 1-2023; 205-2162383-4536CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.22055/jacm.2022.40878.3666info:eu-repo/semantics/altIdentifier/url/https://jacm.scu.ac.ir/article_17702.htmlinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:08:20Zoai:ri.conicet.gov.ar:11336/219035instacron: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:34982025-10-22 11:08:20.565CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Self-damping of Optical Ground Wire Cables: A Bayesian Approach
title Self-damping of Optical Ground Wire Cables: A Bayesian Approach
spellingShingle Self-damping of Optical Ground Wire Cables: A Bayesian Approach
Campos, Damián Federico
AEOLIAN VIBRATIONS
BAYESIAN INFERENCE
OPGW CABLES
SELF-DAMPING
UNCERTAINTY QUANTIFICATION
title_short Self-damping of Optical Ground Wire Cables: A Bayesian Approach
title_full Self-damping of Optical Ground Wire Cables: A Bayesian Approach
title_fullStr Self-damping of Optical Ground Wire Cables: A Bayesian Approach
title_full_unstemmed Self-damping of Optical Ground Wire Cables: A Bayesian Approach
title_sort Self-damping of Optical Ground Wire Cables: A Bayesian Approach
dc.creator.none.fl_str_mv Campos, Damián Federico
Löser, Enrique Eduardo
Piovan, Marcelo Tulio
author Campos, Damián Federico
author_facet Campos, Damián Federico
Löser, Enrique Eduardo
Piovan, Marcelo Tulio
author_role author
author2 Löser, Enrique Eduardo
Piovan, Marcelo Tulio
author2_role author
author
dc.subject.none.fl_str_mv AEOLIAN VIBRATIONS
BAYESIAN INFERENCE
OPGW CABLES
SELF-DAMPING
UNCERTAINTY QUANTIFICATION
topic AEOLIAN VIBRATIONS
BAYESIAN INFERENCE
OPGW CABLES
SELF-DAMPING
UNCERTAINTY QUANTIFICATION
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 empirical Power Law model has a long usage history in cable self-damping studies, and several types of research have been done to characterize its parameters for various types of cables. In this work, a novel Bayesian model calibration framework is proposed and applied to study self-damping Optical Ground Wire (OPGW) cables. This technique then combines experimental and statistical approaches to obtain the confidence intervals for each parameter and characterize the different regions where the model presents other behaviors. The results enable a better calibration of the model's parameters and agree with the trends already set in the literature. They also provide a new understanding of the model and estimate different uncertainties its application entices
Fil: Campos, Damián Federico. Universidad Nacional del Comahue. Facultad de Ingeniería; Argentina
Fil: Löser, Enrique Eduardo. Universidad Nacional del Comahue. Facultad de Ingeniería; Argentina
Fil: Piovan, Marcelo Tulio. Universidad Tecnológica Nacional. Facultad Regional Bahía Blanca; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina
description The empirical Power Law model has a long usage history in cable self-damping studies, and several types of research have been done to characterize its parameters for various types of cables. In this work, a novel Bayesian model calibration framework is proposed and applied to study self-damping Optical Ground Wire (OPGW) cables. This technique then combines experimental and statistical approaches to obtain the confidence intervals for each parameter and characterize the different regions where the model presents other behaviors. The results enable a better calibration of the model's parameters and agree with the trends already set in the literature. They also provide a new understanding of the model and estimate different uncertainties its application entices
publishDate 2023
dc.date.none.fl_str_mv 2023-01
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/11336/219035
Campos, Damián Federico; Löser, Enrique Eduardo; Piovan, Marcelo Tulio; Self-damping of Optical Ground Wire Cables: A Bayesian Approach; Shahid Chamran University of Ahvaz. Faculty of Engineering; Journal of Applied and Computational Mechanics; 9; 1; 1-2023; 205-216
2383-4536
CONICET Digital
CONICET
url http://hdl.handle.net/11336/219035
identifier_str_mv Campos, Damián Federico; Löser, Enrique Eduardo; Piovan, Marcelo Tulio; Self-damping of Optical Ground Wire Cables: A Bayesian Approach; Shahid Chamran University of Ahvaz. Faculty of Engineering; Journal of Applied and Computational Mechanics; 9; 1; 1-2023; 205-216
2383-4536
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.22055/jacm.2022.40878.3666
info:eu-repo/semantics/altIdentifier/url/https://jacm.scu.ac.ir/article_17702.html
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Shahid Chamran University of Ahvaz. Faculty of Engineering
publisher.none.fl_str_mv Shahid Chamran University of Ahvaz. Faculty of Engineering
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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score 12.982451

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