文献类型：期刊文献

英文题名：An efficient semi-analytical framework for moving load identification with arbitrary boundary conditions

作者：Hou, Zhilong Hao, Hong Liang, Yi Pan, Chudong

第一作者：Hou, Zhilong

通信作者：Hao, H[1]

机构：[1]Guangzhou Univ, Earthquake Engn Res & Test Ctr, Guangdong Prov Key Lab Earthquake Engn & Appl Tech, Guangzhou, Peoples R China;[2]Guangzhou Univ, Key Lab Earthquake Resistance Earthquake Mitigat &, Minist Educ, Guangzhou 510006, Peoples R China;[3]Curtin Univ, Ctr Infrastruct Monitoring & Protect, Sch Civil & Mech Engn, Perth, Australia;[4]Guizhou Inst Technol, Sch Civil Engn, Guiyang 550003, Peoples R China;[5]Guangzhou Univ, Sch Civil Engn & Transportat, Guangzhou 510006, Peoples R China

第一机构：Guangzhou Univ, Earthquake Engn Res & Test Ctr, Guangdong Prov Key Lab Earthquake Engn & Appl Tech, Guangzhou, Peoples R China

通信机构：corresponding author), Guangzhou Univ, Earthquake Engn Res & Test Ctr, Guangdong Prov Key Lab Earthquake Engn & Appl Tech, Guangzhou, Peoples R China.

年份：2026

卷号：360

外文期刊名：ENGINEERING STRUCTURES

收录：;EI(收录号：20261720590741);WOS:【SCI-EXPANDED(收录号:WOS:001757847000001)】；

基金：This work is supported by the National Natural Science Foundation of China (Nos. W2541016, 52538011) , and the Innovation and Entre-preneurship Team Project of Guangzhou (No. 2024D03J0021) .

语种：英文

外文关键词：Bridge structural health monitoring; Semi-analytical model; Moving load identification; Arbitrary boundary

摘要：Existing moving load identification (MLI) methods encounter critical challenges in achieving a balance among modeling accuracy, computational efficiency, and applicability when formulating governing equations of vehicle-bridge interactions. To address these issues, an efficient semi-analytical framework for MLI based on vehicle-induced bridge responses is proposed in this study. Firstly, by incorporating the modal information of element nodes under arbitrary boundary conditions, a semi-analytical expression of orthogonal mode shape functions for the bridge is derived through the Schmidt orthogonalization technique. Secondly, the moving vehicle load is represented as a sequence of basis functions within short time intervals, and the bridge's dynamic response is analytically calculated using Duhamel's convolution integral, from which a semi-analytical vehicle-bridge governing equation applicable to arbitrary boundary conditions is formulated. Finally, to evaluate the effectiveness of the proposed method, numerical validations are performed using Euler-Bernoulli beam and truss bridge models with elastically supported boundary conditions. Experimental investigations are further conducted under laboratory conditions for typical scenarios involving varying axle loads, axle spacings, and vehicle speeds. The results show that the proposed MLI method is free from time-step constraints and effectively eliminates discretization errors. Besides, compared with the time-domain and state space methods, the proposed method achieves superior identification accuracy and noise robustness while maintaining low computational complexity, which offers a scalable and efficient solution for high-precision MLI problem and bridge health monitoring under arbitrary boundary conditions.