A vibration-based framework for structural health monitoring of railway bridges

Weichao Guo (1) , André Orcesi (1) , Christian Cremona (2) , João Pedro Santos (3) , Suzhe Yang (4) , Luc Dieleman (4)

1 IFSTTAR/SOA - Département Structures et Ouvrages d'Art
2 SETRA - Service d'Etudes Techniques des Routes et Autoroutes
3 Laboratório Nacional de Engenharia Civil - Structures Department
4 SNCF-IGOA

One main objective of structural health monitoring (SHM) is to assess the performance of structures. In this paper, the authors focus on the damage assessment problem based on a vibration-based detection approach specifically designed for a bridge in real environment and traffic conditions. For this purpose, a cluster-based approach is proposed to discriminate abnormal changes from normal changes in the structural behavior. Besides, symbolic data analysis (SDA) is introduced to process and analyze large amounts of data. At the same time, some novelty detection strategies using original symbolic objects and principal component analysis (PCA) are proposed to extract useful information related to structures from large amounts of data. The efficiency and reliability of this approach is checked using both simulation and real data for a road-rail bridge.

Mots clés: PONT; PERFORMANCE; PONT DE CHEMIN DE FER

Domaines: Vibrations [physics.class-ph]; Vibrations [physics.class-ph]; Mécanique des structures [physics.class-ph]; Mécanique des structures [physics.class-ph]

Weichao Guo, André Orcesi, Christian Cremona, João Pedro Santos, Suzhe Yang, et al.. A vibration-based framework for structural health monitoring of railway bridges. IALCCE 2012 - 3rd International Symposium on Life-Cycle Civil Engineering, Oct 2012, Austria. pp 1118-1125. ⟨hal-01064952⟩