On load identification for piezoelectric smart structures
压电智能结构荷载识别方法的研究

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