Back to Search Start Over

Damage Identification of Simply Supported Bridges Using Static Responses: Unified Framework and Feasibility Study.

Authors :
Zheng, Xu
Yang, Dong-Hui
Yi, Ting-Hua
Li, Hong-Nan
Source :
International Journal of Structural Stability & Dynamics. Sep2023, Vol. 23 Issue 14, p1-21. 21p.
Publication Year :
2023

Abstract

Simply supported bridges are the main bridge types in many transportation systems, and their damage can significantly reduce their load-carrying capacity. To detect possible damage, the time history and spatial distribution of the static responses of bridges (deflection, rotation, and strain influence lines/deformation curves) have recently been proposed as important indicators due to their good local damage detection ability and low testing cost. This paper attempts to establish connections between different static curve-based damage indicators through the various forms of Maxwell-Betti's law. Damage indicators related to seven static curves are then rewritten as a unified framework. The framework states that all these static curves are directly related to the flexural stiffness distribution of the main girder for the simply supported bridge. Then, the theoretical formulations for the difference between the static curves of bridges in intact and damaged states are derived, and the response difference surfaces (RDSs) are plotted to visualize the sensitivity of different static curves to damage. Sensor placement suggestions for stiffness degradation evaluation are presented based on the damage sensitivity analysis at the end of this paper. The results of this study provide comprehensive theoretical support for static response-based damage identification of simply supported bridges. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02194554
Volume :
23
Issue :
14
Database :
Academic Search Index
Journal :
International Journal of Structural Stability & Dynamics
Publication Type :
Academic Journal
Accession number :
170393761
Full Text :
https://doi.org/10.1142/S0219455423501638