On load identification for piezoelectric smart structures
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Abstract
Based on BP neural network and finite element inverse analysis, a method isproposed to identify the location and magnitute of loads by measuring thepiezoelectric responsive charge on the piezoelectric smart structure. Firstly, the unitloads are acted on several different locations on the structure and the learingstylebook of net is calculated by the finite element method, by which the location ofloads may be finded. Then, the magnitute of loads is determined by finite elementinverse analysis and the least square method. The calculation example shows that themethod has high precise and rapid calculation velocity, which is suit for thepiezoelectric smart structures with complex shape and boundary conditions and mayfind its uses in the loads identification of the applied smart structures.
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