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Finite Element Model Updating for Unsymmetrical Damping System with Genetic Algorithm

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Abstract:

Finite element model updating using incomplete complex modal data for unsymmetrical damping system with genetic algorithm is presented. The genetic algorithm method and finite element model updating based on optimization method using complex modal eigenvalue are introduced. The updating for simulation example about a flexible rotor system which is a typical unsymmetrical damping system is performed using bearing stiffness, bearing damping and diameter moment of inertia parameters. The results show that the maximum error of updated parameters is 0.15% and the objective function of genetic algorithm is 0.0081. The study demonstrates that the finite element model updating method using incomplete complex modal data with genetic algorithm is feasible and effective for unsymmetrical damping system.

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Periodical:

Applied Mechanics and Materials (Volumes 166-169)

Pages:

2999-3003

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.166-169.2999

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Cite this paper

Online since:

May 2012

Authors:

Bao Qiang Zhang, Guo Ping Chen, Qin Tao Guo

Keywords:

Complex Modal, Genetic Algorithm (GA), Model Updating, Unsymmetrical Damping System

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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