A model-based damage identification framework for R/C bridges using vibrational measurements

Abstract Ensuring the structural integrity of bridges is crucial for maintaining road safety and minimizing traffic disruptions, as well as avoiding substantial direct and indirect economic losses. This study proposes a methodology for damage identification in R/C bridge systems by utilizing measure...

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Bibliographic Details
Published inJournal of physics. Conference series Vol. 2647; no. 22; pp. 222007 - 222017
Main Authors Mixios, K.E., Stefanidou, S.P., Markogiannaki, O., Papanikolaou, V.K.
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.06.2024
Subjects
Algorithms
Bridge maintenance
Damage detection
Economic impact
Finite element method
Parameter identification
Particle swarm optimization
Structural integrity
Traffic safety
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Summary:Abstract Ensuring the structural integrity of bridges is crucial for maintaining road safety and minimizing traffic disruptions, as well as avoiding substantial direct and indirect economic losses. This study proposes a methodology for damage identification in R/C bridge systems by utilizing measured vibrational data from both the initial and damaged responses. In this context, a finite element model is developed, and its parameters are calibrated using Particle Swarm Optimization algorithms and Dynamic Mode Decomposition, which help match the numerical data to the measured data. The proposed methodology is demonstrated through a case study of a monolithic R/C bridge, with simulated experiments (e.g., damage scenarios) conducted to validate its effectiveness.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2647/22/222007