Assessing the Behaviour of Engineering Structures: Application to the Dallet Steel Bridge

Abstract Structural health monitoring is a fast-growing field, playing a key role in optimizing the service life of structures and maintaining reliable, safe service conditions. This multidisciplinary field has undergone extensive development over the last three decades, notably through advanced vibration-based methods. In this context, the Institut Pascal and CIDECO have jointly developed an acquisition system and a series of robust analysis algorithms, enabling the automated detection and localization of structural damage. The aim of this work is to present the experimental results obtained on metal structures. The Dallet bridge is a riveted steel structure dating back to 1899, which underwent major renovation work between 2023 and 2024. An initial, one-day acquisition campaign was carried out prior to the renovation work. This preliminary campaign enabled the updating of a simplified numerical model of the structure (stiffness of elements and elasticity of supports). Subsequently, a second campaign was carried out, monitoring the progressive demolition of the deck. A modal analysis and the updating procedure of a simplified finite element model allowed for tracking the evolution of the structural behaviour during these critical construction phases. In addition, a detailed numerical model enabled the comparison between mode shapes obtained from an advanced model and those derived from the updated simplified model.

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Publication Details

Journal
Civil and Environmental Engineering
Published
2025-12-09
DOI
https://doi.org/10.2478/cee-2026-0045
Primary Topic
Structural Health Monitoring Techniques
Type
article
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article

Assessing the Behaviour of Engineering Structures: Application to the Dallet Steel Bridge

Alaa Chateauneuf, Abdelhamid Bouchaïr, Julian Raedersdorff, David St Clair
Civil and Environmental Engineering
Structural Health Monitoring Techniques
article

Assessing the Behaviour of Engineering Structures: Application to the Dallet Steel Bridge

Alaa Chateauneuf, Abdelhamid Bouchaïr, Julian Raedersdorff, David St Clair
article en

Abstract

Abstract Structural health monitoring is a fast-growing field, playing a key role in optimizing the service life of structures and maintaining reliable, safe service conditions. This multidisciplinary field has undergone extensive development over the last three decades, notably through advanced vibration-based methods. In this context, the Institut Pascal and CIDECO have jointly developed an acquisition system and a series of robust analysis algorithms, enabling the automated detection and localization of structural damage. The aim of this work is to present the experimental results obtained on metal structures. The Dallet bridge is a riveted steel structure dating back to 1899, which underwent major renovation work between 2023 and 2024. An initial, one-day acquisition campaign was carried out prior to the renovation work. This preliminary campaign enabled the updating of a simplified numerical model of the structure (stiffness of elements and elasticity of supports). Subsequently, a second campaign was carried out, monitoring the progressive demolition of the deck. A modal analysis and the updating procedure of a simplified finite element model allowed for tracking the evolution of the structural behaviour during these critical construction phases. In addition, a detailed numerical model enabled the comparison between mode shapes obtained from an advanced model and those derived from the updated simplified model.

Civil and Environmental EngineeringVol. 22(1)
Centre National de la Recherche Scientifique (FR), University of Clermont Auvergne (FR), Sigma Clermont (FR)
Openalex Percentile: Top 60%
Structural Health Monitoring Techniques
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