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Constrained Optimization Multi-dimensional Harmonic Balance Method for Quasi-periodic Motions of Nonlinear Systems

Haitao Liao1

1 Chinese Aeronautical Establishment, Beijing 100012, China. Email: ht0819@163.com

Computer Modeling in Engineering & Sciences 2013, 95(3), 207-234. https://doi.org/10.3970/cmes.2013.095.207

Abstract

The constrained optimization multi-dimensional harmonic balance method for calculating the quasi-periodic solutions of nonlinear systems is presented. The problem of determining the worst quasi-periodic response is transformed into a nonlinear optimization problem with nonlinear equality constraints. The general nonlinear equality constraints are built using a set of nonlinear algebraic equations which is derived using the multi-dimensional harmonic balance method. The Multi- Start algorithm is adopted to solve the resulting constrained maximization problem. Finally, the validity of the proposed method is demonstrated with a Duffing oscillator and numerical case studies for problems with uncertainties are performed on a nonlinear two-degree of freedom with non-regular nonlinearities. It is illustrated that the proposed approach can be used to find the worst resonant response and the upper and lower response bounds of quasi-periodic solution and is also able to quantify the combined influences of structural uncertainties and non-regular nonlinearities on the nonlinear quasi-periodic vibrations of nonlinear systems.

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APA Style
Liao, H. (2013). Constrained optimization multi-dimensional harmonic balance method for quasi-periodic motions of nonlinear systems. Computer Modeling in Engineering & Sciences, 95(3), 207-234. https://doi.org/10.3970/cmes.2013.095.207
Vancouver Style
Liao H. Constrained optimization multi-dimensional harmonic balance method for quasi-periodic motions of nonlinear systems. Comput Model Eng Sci. 2013;95(3):207-234 https://doi.org/10.3970/cmes.2013.095.207
IEEE Style
H. Liao, “Constrained Optimization Multi-dimensional Harmonic Balance Method for Quasi-periodic Motions of Nonlinear Systems,” Comput. Model. Eng. Sci., vol. 95, no. 3, pp. 207-234, 2013. https://doi.org/10.3970/cmes.2013.095.207



cc Copyright © 2013 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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