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Proceedings Paper

Arch bridge suspender tension identification by using neural network
Author(s): Dongsheng Li; Jinping Ou
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Paper Abstract

The measurement of arch bridge suspender tension using vibration method is mostly considered that the suspender is idealized as taut strings. This idealization simplifies the analysis but may introduce unacceptable errors in many applications by ignoring the boundary condition and bending stiffness effects. The neural network intelligent methodology is proposed to compute suspenders tension, and design steps and optimization methods of neural network are given. In order to get correct neural network predictive model, 200 data of 20 bridges is used to train the neural network. The applicability of the proposed intelligent methodology is verified by comparison with the others method through a case. The result shows that the error isn't beyond percent of 6.

Paper Details

Date Published: 9 April 2010
PDF: 6 pages
Proc. SPIE 7650, Health Monitoring of Structural and Biological Systems 2010, 765026 (9 April 2010); doi: 10.1117/12.846724
Show Author Affiliations
Dongsheng Li, Dalian Univ. of Technology (China)
Jinping Ou, Dalian Univ. of Technology (China)


Published in SPIE Proceedings Vol. 7650:
Health Monitoring of Structural and Biological Systems 2010
Tribikram Kundu, Editor(s)

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