Stiffness Estimation of Girder Bridges Using Influence Lines Identified from Vehicle-Induced Structural Responses
Publication: Journal of Engineering Mechanics
Volume 147, Issue 8
Abstract
The influence line is an important static property in bridges. The shape and magnitude of the girder bridge influence line contain stiffness information for the bridge supports and beam. This research sought to directly identify the rotational stiffness of bridge supports and the flexural stiffness of beams from extracted influence lines, which provides a quantification method for bridge damage and performance degradation. The paper first reviews the influence line identification method from vehicle-induced bridge responses. Then, the complete theoretical formulations of the deflection, rotation, and strain influence line for a general girder bridge are derived. Based on these derivations, the rotational stiffness at two supports and the equivalent flexural stiffness value of the beam are identified. Next, a certain span of a continuous girder bridge is converted to an equivalent simply supported system, and the flexural stiffness distribution of the beam is estimated based on the bending moment-curvature relationship and Betti’s law. The paper then presents a three-span continuous girder bridge verification example. The stiffness estimation results under different test conditions combined with the bridge influence line identification algorithm are presented to verify the reliability of the proposed method. This stiffness estimation method can be applied to baseline-free bridge performance evaluations based on vehicle-induced bridge responses.
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Data Availability Statement
All data, models, or code generated or used during the study are available from the corresponding author by request.
Acknowledgments
This research work was jointly supported by the National Natural Science Foundation of China (Grant Nos. 51625802, 51978128, and 51708088), the LiaoNing Revitalization Talents Program (Grant No. XLYC1802035), and the Foundation for High Level Talent Innovation Support Program of Dalian (Grant No. 2017RD03).
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© 2021 American Society of Civil Engineers.
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Received: Sep 1, 2020
Accepted: Feb 16, 2021
Published online: May 21, 2021
Published in print: Aug 1, 2021
Discussion open until: Oct 21, 2021
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