Structural health monitoring methodology for simply supported bridges: numerical implementation

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Auteur principal: Carlos Alberto Riveros Jerez
Format: Artículo científico
Langue:en
Publié: Universidad de Antioquia 2007
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author Carlos Alberto Riveros Jerez
author_facet Carlos Alberto Riveros Jerez
contents Structural health monitoring methodology for simply supported bridges: numerical implementation Carlos Alberto Riveros Jerez Ingeniería natural excitation technique Eigenvector sensitivity method eigensystem realization algorithm the bayesian probabilistic approach for damage detection Structural health monitoring of civil structures is currently receiving great amount of attention by researchers due to the economic impact and life-safety implications of early damage detection. Current visual inspection techniques, which aim to detect local damage, can be used in conjunction with a structural health monitoring system to inspect more localized regions. This paper presents a structural health monitoring methodology for simply supported bridges, which is divided into four steps; the first step deals with the optimum location of sensors using the concept of Fisher informationmatrix, the second and third steps use ambient excitation sources for system identification and the final step employs the Bayesian probabilistic approach to detect structural damage sites. A finite element model of a scaled bridge is used to carry out this numerical implementation. The results show that the proposed methodology can be implemented in the railway system of Medellín. The repetitive pattern of simply supported bridges can greatly facilitate the implementation of damage monitoring systems for the whole railway system. 2007 artículo científico 0120-6230 https://www.redalyc.org/articulo.oa?id=43003905 en http://www.redalyc.org/revista.oa?id=430 Revista Facultad de Ingeniería Universidad de Antioquia application/pdf Universidad de Antioquia Revista Facultad de Ingeniería Universidad de Antioquia (Colombia) Num.39
format Artículo científico
id redalyc_43003905
institution Redalyc
language en
publishDate 2007
publisher Universidad de Antioquia
spellingShingle Structural health monitoring methodology for simply supported bridges: numerical implementation
Carlos Alberto Riveros Jerez
Ingeniería
natural excitation technique
Eigenvector sensitivity method
eigensystem realization algorithm
the bayesian probabilistic approach for damage detection
Structural health monitoring methodology for simply supported bridges: numerical implementation Carlos Alberto Riveros Jerez Ingeniería natural excitation technique Eigenvector sensitivity method eigensystem realization algorithm the bayesian probabilistic approach for damage detection Structural health monitoring of civil structures is currently receiving great amount of attention by researchers due to the economic impact and life-safety implications of early damage detection. Current visual inspection techniques, which aim to detect local damage, can be used in conjunction with a structural health monitoring system to inspect more localized regions. This paper presents a structural health monitoring methodology for simply supported bridges, which is divided into four steps; the first step deals with the optimum location of sensors using the concept of Fisher informationmatrix, the second and third steps use ambient excitation sources for system identification and the final step employs the Bayesian probabilistic approach to detect structural damage sites. A finite element model of a scaled bridge is used to carry out this numerical implementation. The results show that the proposed methodology can be implemented in the railway system of Medellín. The repetitive pattern of simply supported bridges can greatly facilitate the implementation of damage monitoring systems for the whole railway system. 2007 artículo científico 0120-6230 https://www.redalyc.org/articulo.oa?id=43003905 en http://www.redalyc.org/revista.oa?id=430 Revista Facultad de Ingeniería Universidad de Antioquia application/pdf Universidad de Antioquia Revista Facultad de Ingeniería Universidad de Antioquia (Colombia) Num.39
title Structural health monitoring methodology for simply supported bridges: numerical implementation
topic Ingeniería
natural excitation technique
Eigenvector sensitivity method
eigensystem realization algorithm
the bayesian probabilistic approach for damage detection
url https://www.redalyc.org/articulo.oa?id=43003905