LOADING IDENTIFICATION FOLLOWING FUZZY PATTERN RECOGNITION EMPLOYING FIBRE GRATING SENSORS
Fuzzy pattern recognition and genetic algorithm (GA) are combined to realize the accurately loading identification for steel structures. After the direction connections of the strain patterns and loading conditions are constructed, loads can be discerned through the recognition of strain patterns quickly. The absolute errors of the values and positions between input loads and recognition results are constructed as an objective function. The optimal distribution of key nodes on which strain gauges to be installed is determined through minimizing the objective function, which is carried out by a hybrid. Then a new method to obtain the strains of the key nodes using the fibre Bragg grating sensors is developed. Two sensors are attached to the surface of the structure together in cross directions to collect the surface strains in both directions. A steel bracket is taken as example to construct finite element model and further realize the loading identification.
G.B. Li W.L. Qu B. Chen
Hubei Key Laboratory of Roadway Bridge and Structural Engineering, Wuhan University of Technology, Wuhan 430070, P.R. China
国际会议
长沙
英文
910-916
2007-11-19（万方平台首次上网日期，不代表论文的发表时间）