The invention relates to a sparse
deconvolution method for
impact load identification of a mechanical structure. The method is used for solving the ill-posed nature of the
impact load identification inverse problem and comprises steps as follows: 1) a
frequency response function between an
impact load acting point and a response
measurement point of the mechanical structure is measured with a hammering method, a
unit impulse response function is obtained through inverse
fast fourier transform,
discretization is further performed, and a
transfer matrix is obtained; 2) an acceleration
signal generated by impact load of the mechanical structure is measured with an acceleration sensor; 3) an L1-norm-based sparse
deconvolution convex optimization model for impact load identification is established; 4) the sparse
deconvolution optimization model is resolved with a primal-dual
interior point method, and a sparse deconvolution solution, namely, a to-be-identified impact load, is obtained. The sparse deconvolution method is suitable for identifying the impact load acting on the mechanical structure. Compared with conventional
Tikhonov regularization methods based on an L2 norm, the sparse deconvolution method has the advantages of high identification accuracy, high computation efficiency and high stability.