Identification of Multi-Axle Vehicle Loads on Bridges

Author:

Yu Ling1,Chan Tommy H. T.2

Affiliation:

1. Blasting and Vibration Department, Changjiang River Scientific Research Institute, 23 Huangpu Street, Wuhan, Hubei, 430010 P.R. China

2. Department of Civil and Structural Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong

Abstract

Both the time domain method (TDM) and frequency-time domain method (FTDM) are introduced and modified for the indirect identification of multi-axle vehicle loads from the bending moment responses of bridges. Two solutions to the over-determined set of equation involved in the identification methods are adopted. One is direct calculation of the pseudo inverse and another calculation of the pseudo inverse via the singular value decomposition technique for the ill-conditioned problems encountered. A few multi-axle vehicles were designed and constructed in the laboratory for validation purposes based on the ASSHTO standard specifications of highway bridges. Two kinds of frames between the tractor and trailer of trucks and, three types of vehicle suspension systems were simulated. Different multi-axle vehicle loads were identified from the measured bending moment responses of bridges under different operation condition in the laboratory. The effects of various vehicle and bridges parameters were evaluated. Comparative studies show that both TDM and FTDM methods involved in the moving force identification system (MFIS) are good identification methods and could efficiently identify the multi-axle vehicle loads on bridges.

Publisher

ASME International

Subject

General Engineering

Reference22 articles.

1. Ting, E. C., and Yener, M., 1983, “Vehicle-Structure Interaction in Bridge Dynamics,” Shock Vib. Dig., 15(2), pp. 3–9.

2. Yang, Y. B., and Yau, J. D., 1997, “Vehicle-Bridge Interaction Element for Dynamic Analysis,” J. Struct. Eng., 123(11), pp. 1512–1518.

3. Yang, Y. B., and Wu, Y. S., 2001, “A Versatile Element for ANalysing Vehicle-Bridge Interaction Responses,” Eng. Struct., 23, pp. 452–469.

4. Cantieni, R., 1992, “Dynamic Behavior of Highway Bridge under the Passage of Heavy Vehicles,” Swiss Federal Laboratories for Materials Testing and Research (EMPA) Report, Vol. 220, 240p.

5. Peters, R. J., 1986, “An Unmanned and Undetectable Highway Speed Vehicle Weighing System,” Proceedings of 13th ARRB and 5th REAAA Combined Conference, Vol. 6, pp. 70–83.

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