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Response and Damage Identification by Long-Gauge Strain Sensor of Beam-Like Bridges Under the Loads of Vehicle: A Comparison of the Analytical Model and in Situ Measurement

  • Pham Truong Son
  • , Tien Hoang
  • , Denis Duhamel
  • , Gilles Foret
  • , Franziska Schmidt
  • , François Baptiste Cartiaux
  • , Véronique Le Corvec

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collectionContribution à une conférenceRevue par des pairs

Résumé

Bridge assessment and monitoring are important subjects nowadays. While the monitoring of displacement can be challenging, the bridge monitoring based on strain measurement is preferred. The latter can be obtained directly by sensors such as fiber optics. This kind of sensors has some advantages such as precision, high sampling frequency, and durability. In order to analyze quickly the measurement results from this sensor, we have developed an analytical model of a bridge structure to study the influence of the vehicles (loads, velocity) on the behavior of the structure. This paper presents the aforementioned model which allows us to calculate rapidly the dynamic responses (displacement, average strain, acceleration…) of a beam-like structure under a vehicle load by using a transfer matrix of two successive beam segments. Moreover, a damage detection and localization method based on distributed long-gauge strain sensors is proposed. Next, the results of the model are compared with the measured data of a multi-girder prestressed concrete bridge located in France. The comparison shows that the model is efficient for fast computing of the bridge responses. Finally, numerical results of the aforementioned method will be discussed.

langue originaleAnglais
titreRecent Advances in Manufacturing Engineering and Processes - Proceedings of ICMEP 2022
rédacteurs en chefRamesh K. Agarwal
EditeurSpringer Science and Business Media Deutschland GmbH
Pages197-207
Nombre de pages11
ISBN (imprimé)9789811968402
Les DOIs
étatPublié - 1 janv. 2023
Modification externeOui
Evénement12th International Conference on Manufacturing Engineering and Processes, ICMEP 2022 - Virtual, Online
Durée: 6 juin 20228 juin 2022

Série de publications

NomLecture Notes in Mechanical Engineering
ISSN (imprimé)2195-4356
ISSN (Electronique)2195-4364

Une conférence

Une conférence12th International Conference on Manufacturing Engineering and Processes, ICMEP 2022
La villeVirtual, Online
période6/06/228/06/22

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