Bridge Influence Line Identification Based on Regularized Least-Squares QR Decomposition Method
Publication: Journal of Bridge Engineering
Volume 24, Issue 8
Abstract
The bridge influence line is an important tool to study the bridge response under moving loads and contains tremendous structural information. Structural deterioration during the bridge’s service life will induce variation in the bridge influence line, which makes it essential to identify the influence line exactly from the field measurement data under moving vehicle loads. This article establishes the underdetermined influence line identification model for a bridge under multiaxle vehicle excitation, in which the bridge influence line is identified based on the regularized least-squares QR decomposition method. Then an example of a four-span girder bridge is provided to prove the validity of the method, and the accuracy and computational complexity of different methods in this condition are compared. This study thus provides an effective method for the identification of the bridge influence line with very high computational efficiency and identification accuracy.
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Acknowledgments
This research work was jointly supported by the National Natural Science Foundation of China (51625802 and 51708088), the 973 Program (2015CB060000), and the Foundation for High-Level Talent Innovation Support Program of Dalian (2017RD03).
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Information
Published In
Journal of Bridge Engineering
Volume 24 • Issue 8 • August 2019
Copyright
© 2019 American Society of Civil Engineers.
History
Received: Oct 29, 2018
Accepted: Mar 27, 2019
Published online: May 20, 2019
Published in print: Aug 1, 2019
Discussion open until: Oct 20, 2019
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