Strain-based autoregressive modelling for system identification of railway bridges
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Campo DC | Valor | Idioma |
---|---|---|
dc.contributor | Grupo de Ensayo, Simulación y Modelización de Estructuras (GRESMES) | es_ES |
dc.contributor | Acústica Aplicada | es_ES |
dc.contributor.author | Anastasia, Stefano | - |
dc.contributor.author | García Marcías, Enrique | - |
dc.contributor.author | Ubertini, Filippo | - |
dc.contributor.author | Gattulli, Vincenzo | - |
dc.contributor.author | Poveda-Martínez, Pedro | - |
dc.contributor.author | Torres, Benjamín | - |
dc.contributor.author | Ivorra, Salvador | - |
dc.contributor.other | Universidad de Alicante. Departamento de Ingeniería Civil | es_ES |
dc.contributor.other | Universidad de Alicante. Departamento de Física, Ingeniería de Sistemas y Teoría de la Señal | es_ES |
dc.date.accessioned | 2023-09-26T07:44:01Z | - |
dc.date.available | 2023-09-26T07:44:01Z | - |
dc.date.issued | 2023-09-25 | - |
dc.identifier.citation | ce/papers - Proceedings in Civil Engineering. 2023, 6(5): 886-892. https://doi.org/10.1002/cepa.2118 | es_ES |
dc.identifier.issn | 2509-7075 | - |
dc.identifier.uri | http://hdl.handle.net/10045/137509 | - |
dc.description.abstract | Vehicular traffic represents the most influential loads on the structural integrity of railway bridges, therefore the design on dynamic criteria. This work explores the use of strain dynamic measurements to characterize the health condition of railway bridges under moving train loads. Specifically, the approach proposed in this work exploits the implementation of auto-regressive (AR) time series analysis for continuous damage detection. In this light, continuously extracted AR coefficients are used as damage-sensitive features. To automate the definition of the order of the AR model, the methodology implements a model selection approach based on the Bayesian information criterion (BIC), Akaike Information Criterion (AIC) and Mean Squared Error (MSE). In this exploratory investigation, the suitability and effectiveness of strain measurements against acceleration-based systems are appraised through a case study of a simply supported Euler-Bernoulli beam under moving loads. The moving loads problem in terms of vertical accelerations and normal strains is solved through modal decomposition in closed form. The presented numerical results and discussion evidence the effectiveness of the proposed approach, laying the basis for its implementation to real-world instrumented bridges. | es_ES |
dc.language | eng | es_ES |
dc.publisher | Ernst & Sohn GmbH | es_ES |
dc.rights | © 2023 The Authors. Published by Ernst & Sohn GmbH. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. | es_ES |
dc.subject | Autoregressive modelling | es_ES |
dc.subject | Railway bridges | es_ES |
dc.subject | SHM | es_ES |
dc.subject | Strain monitoring | es_ES |
dc.title | Strain-based autoregressive modelling for system identification of railway bridges | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.peerreviewed | si | es_ES |
dc.identifier.doi | 10.1002/cepa.2118 | - |
dc.relation.publisherversion | https://doi.org/10.1002/cepa.2118 | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
Aparece en las colecciones: | INV - Acústica Aplicada - Artículos de Revistas INV - GRESMES - Artículos de Revistas |
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