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The Reduced Space Method for Calculating the Periodic Solution of Nonlinear Systems

Haitao Liao1

Institute of advanced structure technology, Beijing institute of technology, Beijing 100081, China.

*Corresponding Author: Haitao Liao. Email: email.

Computer Modeling in Engineering & Sciences 2018, 115(2), 233-262. https://doi.org/10.3970/cmes.2018.01004

Abstract

A hybrid method combined the reduced Sequential Quadratic Programming (SQP) method with the harmonic balance method has been developed to analyze the characteristics of mode localization and internal resonance of nonlinear bladed disks. With the aid of harmonic balance method, the nonlinear equality constraints for the constrained optimization problem are constructed. The reduced SQP method is then utilized to deal with the original constrained optimization problem. Applying the null space decomposition technique to the harmonic balance algebraic equations results in the vanishing of the nonlinear equality constraints and a simple optimization problem involving only upper and lower bound constraints on the optimization variables is formed and solved. Finally, numerical results are given for several test examples to validity the proposed method. The efficiency of the solution method to trace the family of energy dependent nonlinear modes is illustrated. The localization nonlinear normal modes of bladed disks related to various types of internal resonances are explored.

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Cite This Article

APA Style
Liao, H. (2018). The reduced space method for calculating the periodic solution of nonlinear systems. Computer Modeling in Engineering & Sciences, 115(2), 233-262. https://doi.org/10.3970/cmes.2018.01004
Vancouver Style
Liao H. The reduced space method for calculating the periodic solution of nonlinear systems. Comput Model Eng Sci. 2018;115(2):233-262 https://doi.org/10.3970/cmes.2018.01004
IEEE Style
H. Liao, “The Reduced Space Method for Calculating the Periodic Solution of Nonlinear Systems,” Comput. Model. Eng. Sci., vol. 115, no. 2, pp. 233-262, 2018. https://doi.org/10.3970/cmes.2018.01004



cc Copyright © 2018 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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