@article{ref1,
title="Quasi-static influence line identification and damage identification of equal-span bridges based on measured vehicle-induced deflection",
journal="Baltic journal of road and bridge engineering",
year="2022",
author="Yang, Kang and Ding, Youliang and Zhao, Hanwei and Geng, Fangfang and Sun, Zhen",
volume="17",
number="2",
pages="47-74",
abstract="The bridge influence line (IL) reflects the response of a certain section due to varying load positions. As a result, IL has a wide application prospect in damage identification and condition assessment. Up to date, studies regarding IL have been focused on the structure condition evaluation. A feasible and practical method for damage identification is still not yet available. The present paper proposes a comprehensive damage identification methodology based on IL under a moving vehicle is composed of data pre-processing, IL extraction, and damage detection. Firstly, a thorough review of existing IL identification methods based on signal processing is provided. Then three quasi-static IL identification methods based on measured data are discussed. Consequently, the study proposes a two-stage damage identification approach for simply supported bridges with equal span length. Also, the effectiveness of this approach is verified through field tests on a real girder bridge. At last, conclusions are drawn, and potential issues for the application of the proposed method in practice are discussed.<p /> <p>Language: en</p>",
language="en",
issn="1822-427X",
doi="10.7250/bjrbe.2022-17.560",
url="http://dx.doi.org/10.7250/bjrbe.2022-17.560"
}