Combining empirical wavelet transform and transfer matrix or modal superposition to reconstruct responses of structures subject to typical excitations. (15th January 2022)

• Record Type: Journal Article
• Authors: Wang, Mingyue; Sheng, Xiaozhen
• Is Part Of: Mechanical systems and signal processing. Volume 163(2022)
• Publication Date: 2022-01-15
• Subjects: Dynamic response reconstruction -- Empirical wavelet transform -- Scale-space representation -- Transfer matrix -- Modal superposition method; Structural dynamics -- Periodicals; Vibration -- Periodicals; Constructions -- Dynamique -- Périodiques; Vibration -- Périodiques; Structural dynamics; Vibration; Periodicals; 621
• DOI: 10.1016/j.ymssp.2021.108162
• Languages: English
• ISSNs: 0888-3270

Abstract

Abstract: An investigation is presented in this paper into the applicability of empirical wavelet transform, combined with mode transfer matrix and/or modal superposition, to reconstruction of responses of structures subject to typical excitations. Empirical wavelet transform, of which the parameters are determined from scale-space representation, is used to decompose each measured response signal into a number of mono-components. Structural responses at unmeasured locations are reconstructed from those mono-components, either through superposition of normal modes, or through mode transfer matrices, both derived from a finite element model of the structure in question. The method is applied to a high-speed train-used extruded aluminium panel subject to typical excitations. Considered excitations include impact excitations, stochastic excitations, periodic excitations and periodic impact excitations. The accuracy of the method is demonstrated both numerically and experimentally. The robustness of the method to measurement noise is also investigated for the panel. Results show that the proposed method is not only able to overcome difficulties in existing methods caused by shortages in measurement point, mode mixing and/or periodic excitations, but also robust to measurement noise.