Natural frequency perturbations using a scalar expression with reference plots to predict associated errors

Files
s42417-023-00870-3.pdf(2.24 MB)
Published version
Date
2024-01
Authors
Kaminski, Allison
McDaniel, J. Gregory
Version
Published version
OA Version
Citation
A. Kaminski, J.G. McDaniel. 2024. "Natural Frequency Perturbations Using a Scalar Expression with Reference Plots to Predict Associated Errors" Journal of Vibrational Engineering and Technologies, Volume 12, Issue 1, pp.719-736. https://doi.org/10.1007/s42417-023-00870-3
Abstract
PURPOSE: Eigenvalues are the natural frequencies of system squared. When designing a system it is important to know the natural frequencies, because if the system is forced near one of these natural frequencies the magnitude of vibration becomes very large. The eigenvalues are typically determined by solving an eigenvalue problem, which is an iterative produce that is expensive for larger systems. If multiple perturbations to the system are made or tested re-solving an eigenvalue problem every time becomes prohibitive. Perturbation methods exist to predict perturbed eigenvalues more quickly. However, these methods typically require matrix–vector products and do not quantify what is considered a small enough perturbation to use these methods. METHODS: This paper looks to address these issues using a scalar perturbed eigenvalue expression that avoids calculating matrix–vector products for every perturbation and developing reference plots that can be used to predict the associated error. The reference plots may be used to predict errors in the approximated natural frequencies from nominal modal parameters. The scalar perturbed eigenvalue expression and reference plots for errors were tested using numerical examples. RESULTS: In every case tested the plots were able to accurately predict the expected errors, to be within a predicted range. CONCLUSION: The proposed method allows one to use the developed scalar expression to predict perturbed eigenvalues, and the developed reference plots may be used to predict the errors associated with using the proposed expression.
Description
License
© The Author(s) 2023. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.