A novel strategy for force identification of nonlinear structures. Issue 1 (March 2022)

• Record Type: Journal Article
• Authors: Liu, Jie; Ding, Tianqi; Liu, Shanhui; Hu, Bingbing
• Is Part Of: Journal of low frequency noise, vibration, and active control. Volume 41:Issue 1(2022)
• Page Start: 167
• Page End: 181
• Publication Date: 2022-03
• Subjects: Force identification -- nonlinear structure -- Ill-posed inverse problem -- nonlinear state-space model; Vibration -- Periodicals; Noise -- Periodicals; Sound -- Periodicals; Damping (Mechanics) -- Periodicals; Damping (Mechanics); Noise; Sound; Vibration; Periodicals; 620.205
• DOI: 10.1177/14613484211033433
• Languages: English
• ISSNs: 1461-3484

Abstract

Dynamic force is the key indicator for monitoring the condition of a mechanical product. These mechanical structures always encompass some nonlinear factors. Most previous studies focused on obtaining the dynamic force of linear structures. Consequently, this study focuses on the nonlinear mechanical structure, and a novel identification strategy is proposed to indirectly identify the excitation force. For the identification strategy, based on a nonlinear state-space model, a force identification equation for the nonlinear structure is built, wherein the transfer matrix consists of coefficient matrices of the nonlinear state-space model, and these coefficient matrices are calculated by a nonlinear subspace identification algorithm. Then, under the generalized cross-validation criterion, the truncated total least squares method is introduced to solve the ill-posed equation to eventually obtain the excitation force of the nonlinear structure. The identification results from two numerical simulation cases and one experimental case illustrate that the proposed identification strategy can stably and accurately identify the excitation force of nonlinear structures.