Automated modal identification by quantification of high-spatial-resolution response measurements
Document Type
Article
Publication Date
3-1-2023
Department
Department of Mechanical Engineering-Engineering Mechanics
Abstract
Identifying modal parameters from vibration measurements is an essential step for modal analysis and modeling of structural dynamics. A critical challenge in modal parameter identification is the determination of the physical modes from spurious modes, especially with noisy measurement data. In this study, an approach is presented to enable automated identification of modal parameters by quantifying the spatial features of full-field, high-spatial-resolution response measurements. Specifically, it is derived that the local variances of the physical and spurious mode shapes are drastically distinguishing, especially when the spatial resolution of the response measurement is high (i.e., full-field with dense spatial measurement points). This allows an effective identification of the physical modes from spurious. Experimental studies are conducted on a few structural models and detailed comparisons are performed and discussed between the presented method and existing methods, including parametric and non-parametric.
Publication Title
Mechanical Systems and Signal Processing
Recommended Citation
Dorn, C.,
&
Yang, Y.
(2023).
Automated modal identification by quantification of high-spatial-resolution response measurements.
Mechanical Systems and Signal Processing,
186.
http://doi.org/10.1016/j.ymssp.2022.109816
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/16458