Multi-Axle Moving Train Loads Identification by Using Fuzzy Pattern Recognition Technique

Abstract:

Identification of multi-axle moving loads on bridge is very important for bridge design, construction, and maintenance in engineering field. It is complicated and time consuming to identify the multi-axle moving train loads with general identification methods and far away from practical practice. Based on the theory of fuzzy pattern recognition, the fuzzy pattern recognition method for multi-axle moving train loads identification on bridge is presented in this paper. The multi-axle moving loads pattern library on a simply supported bridge is established with numerical methods. Effect of measurement noise on the proposed method is investigated in three situations. The results show that the proposed identification method has a certain resistance to measurement noise and can realize moving train loads identification with high accuracy.

• Periodical: Applied Mechanics and Materials (Volumes 29-32)
• Pages: 1307-1312
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.29-32.1307
• Online since: August 2010
• Authors: Yi Wang, Wei Lian Qu
• Keywords: Fuzzy Pattern Recognition, Load Identification, Multi-Axle Moving Train Loads

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