Tracking the normal modes of an overpass highway bridge using Distributed Acoustic Sensing

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Hauptverfasser: Mercerat, E. Diego, Ende, Martijn P. A. van den, Sladen, Anthony, Carrillo-Barra, Vanessa, Pelaez-Quiñones, Julián, Flores, Daniel Mata, Langlaude, Philippe, Bâ, Destin Nziengui, Coutant, Olivier
Format: Preprint
Veröffentlicht: 2025
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author Mercerat, E. Diego
Ende, Martijn P. A. van den
Sladen, Anthony
Carrillo-Barra, Vanessa
Pelaez-Quiñones, Julián
Flores, Daniel Mata
Langlaude, Philippe
Bâ, Destin Nziengui
Coutant, Olivier
author_facet Mercerat, E. Diego
Ende, Martijn P. A. van den
Sladen, Anthony
Carrillo-Barra, Vanessa
Pelaez-Quiñones, Julián
Flores, Daniel Mata
Langlaude, Philippe
Bâ, Destin Nziengui
Coutant, Olivier
contents Distributed Acoustic Sensing (DAS) of ambient vibrations is a promising technique in the context of structural health monitoring of civil engineering structures. The methodology uses Rayleigh backscattered light from small deformations at different locations of the sensed fiber-optic cable, turning it into a large array of equally distributed strain sensors. In this paper, we demonstrate the feasibility of using DAS technology to record dynamic strain used for modal identification through the Operational Modal Analysis (OMA) of a strut-frame bridge overpassing the A8 highway in southeastern France. Modal identification using DAS data is successful despite its predominantly axial sensitivity (along fiber), though the help of three-component seismometers is useful for discriminating the main motion direction of each identified mode. The identification of 1 bridge's normal modes with unprecedented spatial resolution is obtained from the lowest (transverse and longitudinal) modes to high-order modes that present significant vertical motion. In addition, strong seasonal effects are observed in both the absolute frequency values and the modal shapes of the first transverse and longitudinal modes of the bridge, comparing ambient vibration testing and DAS surveys carried out in the summer and winter periods.
format Preprint
id arxiv_https___arxiv_org_abs_2510_24212
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Tracking the normal modes of an overpass highway bridge using Distributed Acoustic Sensing
Mercerat, E. Diego
Ende, Martijn P. A. van den
Sladen, Anthony
Carrillo-Barra, Vanessa
Pelaez-Quiñones, Julián
Flores, Daniel Mata
Langlaude, Philippe
Bâ, Destin Nziengui
Coutant, Olivier
Classical Physics
Distributed Acoustic Sensing (DAS) of ambient vibrations is a promising technique in the context of structural health monitoring of civil engineering structures. The methodology uses Rayleigh backscattered light from small deformations at different locations of the sensed fiber-optic cable, turning it into a large array of equally distributed strain sensors. In this paper, we demonstrate the feasibility of using DAS technology to record dynamic strain used for modal identification through the Operational Modal Analysis (OMA) of a strut-frame bridge overpassing the A8 highway in southeastern France. Modal identification using DAS data is successful despite its predominantly axial sensitivity (along fiber), though the help of three-component seismometers is useful for discriminating the main motion direction of each identified mode. The identification of 1 bridge's normal modes with unprecedented spatial resolution is obtained from the lowest (transverse and longitudinal) modes to high-order modes that present significant vertical motion. In addition, strong seasonal effects are observed in both the absolute frequency values and the modal shapes of the first transverse and longitudinal modes of the bridge, comparing ambient vibration testing and DAS surveys carried out in the summer and winter periods.
title Tracking the normal modes of an overpass highway bridge using Distributed Acoustic Sensing
topic Classical Physics
url https://arxiv.org/abs/2510.24212