Research on Damage Identification of Arch Bridges Based on Deflection Influence Line Analytical Theory

• Published in: Buildings (Basel) Vol. 14; no. 1; p. 6
• Main Authors: Zhou, Yu, Li, Meng, Shi, Yingdi, Xu, Chengchao, Zhang, Dewei, Zhou, Mingyang
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.01.2024
• Subjects: Accuracy; Analysis; analytical solution; Arch bridges; Arches; Bridge design; Bridges; Catenaries; Curvature; Damage detection; damage identification; Deflection; deflection influence line; differential curvature; Exact solutions; Finite element method; hingeless arch; Identification; Identification methods; Influence lines; Load; Masonry; Mathematical analysis; Monitoring methods; Moving loads; Structural damage
• ISSN: 2075-5309; 2075-5309
• DOI: 10.3390/buildings14010006

There is no analytical solution to the deflection influence line of catenary hingeless arches nor an explicit solution to the deflection influence line difference curvature of variable section hingeless arches. Based on the force method equation, a deflection influence line analytical solution at any location before and after structural damage is obtained, and then an explicit solution of the deflection influence line difference curvature of the structural damage is obtained. The indexes suitable for arch structure damage identification are presented. Based on analytical theory and a finite element model, the feasibility of identifying damage at a single location and multiple locations of an arch bridge is verified. This research shows that when a moving load acts on a damaged area of an arch structure, the curvature of the deflection influence line difference will mutate, which proves theoretically that the deflection influence line difference curvature can be used for the damage identification of hingeless arch structures. This research has provided theoretical support for hingeless arch bridge design and evaluation. Combined with existing bridge monitoring methods, the new bridge damage identification method proposed in this paper has the potential to realize normal health status assessments of existing arch bridges in the future.