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A novel sensor layout method is proposed for bridge health monitoring. The aim of the method is to select sensor locations from a set of possible candidate positions for achieving the best identification of modal frequencies and mode shapes. Sensor layout problem is a combinatorial optimization problem and genetic algorithm is suitable to solve the problem. Commonly, one dimension coding is often adopted in the application of genetic algorithm, in the paper, the dual-structure coding, partially matched crossover, inversion mutation and adaptive probabilities of crossover and mutation are adopted to solve the sensor layout problem. In the end, through a simulation study of a continuous beam, it can be seen that the method can overcome the disadvantages of slow convergence rate and easily getting stuck at a local optimum when traditional genetic algorithm is applied, it accelerates convergence greatly and assures to find global optimum and can be applied in health monitoring of bridge structure widely.
Date of Conference: 11-13 Dec. 2009