A new hybrid conjugate gradient method for dynamic force reconstruction. (January 2019)

• Record Type: Journal Article
• Authors: Wang, Linjun; Xu, Liu; Xie, Youxiang; Du, Yixian; Han, Xiao
• Is Part Of: Advances in mechanical engineering. Volume 11:Number 1(2019)
• Publication Date: 2019-01
• Subjects: Inverse problems -- ill-posed -- dynamic load identification -- finite element method -- conjugate gradient method; Mechanical engineering -- Periodicals; 621.05
• DOI: 10.1177/1687814018822360
• Languages: English
• ISSNs: 1687-8132

Abstract

A new hybrid conjugate gradient method is proposed in this article based on the gradient operator and applied to the structural dynamic load identification problem. It has proved that the present method with the strong Wolfe line search possesses sufficient descent property. In addition, the present method is globally convergent when the parameter in the strong Wolfe line search conditions is restricted in some suitable intervals. Three example problems from engineering are solved by the newly developed conjugate gradient method to demonstrate the robustness and effectiveness of conjugate gradient method in solving multi-source dynamic load identification problems. Compared with the traditional Landweber iteration regularization method (Landweber), the proposed conjugate gradient method can more stably and effectively overcome the influences of noise, largely reduce the number of iterations, and provide accurate results in identifying multi-source dynamic force in practical engineering structure.