A Distributed Dynamic Load Identification Approach Based on Shape Function Method and Orthogonal Polynomial Selection

This paper presents a practical decoupling method for distributed dynamic load identification, which is based on shape function method and orthogonal polynomial selection technique. The distributed dynamic load is assumed to be time independent. Its time history has been proved to have the same form with modal loads which can be precisely identified by shape function method. The corresponding distribution function can be decomposed into a set of linearly independent basis functions with the coefficients being computed via response fitting. Appropriate regularization is adopted to overcome the intrinsic ill-conditioned characteristic. Numerical example demonstrates the validity and accuracy of the proposed method.