ILL-CONDITIONING STUDY ON IDENTIFICATION OF DYNAMIC AXLE LOADS OF MOVING VEHICLES
The moving vehicle dynamic loads on a bridge deck are one of the most important live loads of bridges. They should be understood, monitored and controlled before the bridge design as well as when the bridge is open for traffic. This paper performs an ill-conditioning study on the identification of dynamic vehicle axle loads from bridge responses by numerical simulation and experiment investigation. Two identification methods, the time domain method (TDM) and the pre- treatment conjugate gradient method (PCGM), are employed and their identified loads are compared with the axle loads of a supposed moving vehicle. In order to prove the PCGM in practice, the experiment investigation is conducted by designing and making some bridge-vehicle models. The illustrated results show that PCGM have higher identification accuracy and robust noise immunity as well as producing an acceptable solution to ill-conditioning cases to some extent when they are used to identify the moving force from bridge responses.
L.Yu Z. Chen
Department of Mechanics and Civil Engineering, Jinan University, Guangzhou 510632, P.R. China Department of Blasting and Vibration, Changjiang River Scientific Research Institute, Wuhan 410010, P.R. China
国际会议
长沙
英文
1342-1348
2007-11-19（万方平台首次上网日期，不代表论文的发表时间）