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Damage Identification of Multi-Span Bridges Using a Novel Damage Index Based on a New Algorithm for Prediction of Healthy State Displacement.

Authors :
Roustazadeh, Soroush
Daneshjoo, Farhad
Source :
International Journal of Structural Stability & Dynamics; Dec2023, Vol. 23 Issue 19, p1-25, 25p
Publication Year :
2023

Abstract

Many damage identification methods are based on a comparison of structure response between healthy and damaged states. However, the healthy state response of especially old bridges is rarely available. In this paper, a new output-only damage identification approach is proposed to locate damage in multi-span bridges. In this method, only the damaged state strain and displacement influence lines are required. This approach is theoretically explained for a three-span girder. The middle span, the health condition of which is in quest, is modeled as a single-span beam, supported by rotational springs with unknown stiffness. A new algorithm is proposed to estimate the healthy state displacement influence line of the middle point of the span. In this algorithm, the ratio of the flexural stiffness of the girder to the spring's rotational stiffness is determined in such a way that the estimated displacement, is as close to the measured response, as possible. Then, the estimated displacement is scaled based on two constraints. First, it is expected to be lower than the pseudo-static component of measured displacement because damage increases the response globally. Second, the difference between the scaled and pseudo-static component of the measured response is minimized. Eventually, damage is located using a novel damage index based on the local deviation of pseudo-static component of measured displacement from the estimated scaled response. The proposed method is numerically evaluated in a three-span girder. The damage is successfully identified in all different scenarios. Also, its application to Powder Mill Pond Bridge is numerically investigated which yielded promising results. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02194554
Volume :
23
Issue :
19
Database :
Complementary Index
Journal :
International Journal of Structural Stability & Dynamics
Publication Type :
Academic Journal
Accession number :
174179598
Full Text :
https://doi.org/10.1142/S0219455423501894