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A Novel Perturbative Iteration Algorithm for Effective and Efficient Solution of Frequency-Dependent Eigenvalue Problems

Published online by Cambridge University Press:  03 June 2015

Rongming Lin*
Affiliation:
School of Mechanical and Aerospace Engineering, Nanyang Technological University, Nanyang Avenue, Singapore 639798, Singapore
*
Corresponding author. URL:http://research.ntu.edu.sg/expertise/academicprofile/pages/StaffProfile.aspx?ST_EMAILID=MRMLIN, Email: [email protected]
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Abstract

Many engineering structures exhibit frequency dependent characteristics and analyses of these structures lead to frequency dependent eigenvalue problems. This paper presents a novel perturbative iteration (PI) algorithm which can be used to effectively and efficiently solve frequency dependent eigenvalue problems of general frequency dependent systems. Mathematical formulations of the proposed method are developed and based on these formulations, a computer algorithm is devised. Extensive numerical case examples are given to demonstrate the practicality of the proposed method. When all modes are included, the method is exact and when only a subset of modes are used, very accurate results are obtained.

Type
Research Article
Copyright
Copyright © Global-Science Press 2012

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References

[1]He, S. and Singh, R., Estimation of amplitude and frequency dependent parameters of hydraulic engine mount given limited dynamic stiffness measurement, Noise. Control. Eng. J., 53(2) (2005), pp. 271285.CrossRefGoogle Scholar
[2]Wang, Q. Y. and Maslen, E. H., Identification of frequency dependent parameters in a flexible rotor system, ASME J. Eng. Gas. Turb. Power., 128(3) (2006), pp. 670676.Google Scholar
[3]Webster, A. and Semke, W., Frequency dependent viscoelastic structural elements for passive broad-band vibration control, J. Vibr. Control., 10(6) (2004), pp. 881895.Google Scholar
[4]Dai, X. J., Lin, J. H., Chen, H. R. and Williams, F. W., Random vibration of composite structures with attached frequency dependent damping layer, Composites. B. Eng., 39(2) (2008), pp. 405413.Google Scholar
[5]Conza, N. E. and Rixen, D. J., Influence of frequency-dependent properties on system identification: simulation study on a human levis model, J. Sound. Vibr., 302(4-5) (2007), pp. 699715.Google Scholar
[6]Mondal, M. and Massoud, Y., Accurate analytical modeling of frequency dependent loop self-inductance, J. Circuit. Sys. Comput., 17(1) (2008), pp. 7793.Google Scholar
[7]Bandran, E. and Ulloa, S. E., Frequency-dependent magnetotransport and particle dynamics in magnetic modulation systems, Phys. Rev. B., 59(4) (1999), pp. 28242832.Google Scholar
[8]Wilkinson, J. H., The Algebraic Eigenvalue Problem, Clarendon Press, Oxford, England, 1972.Google Scholar
[9]Rutishauser, , The Jacobi method for real symmetric matrices, Numer. Math., 9 (1966), pp. 110.Google Scholar
[10]Golub, G. H., H., G. and van Loan, C. F., Matrix Computations, Johns Hopkins University Press, Baltimore, Maryland, 1996.Google Scholar
[11]Moler, C. B. and Stewart, G. W., An algorithm for generalized matrix eigenvalue problems, SIAM J. Numer. Anal., 10(2) (1973), pp. 241256.Google Scholar
[12]Ipsen, I. C. F., Computing an eigenvector with inverse iteration, SIAM Rev., 39 (1997), pp. 254291.Google Scholar
[13]Lanczos, C., An iteration method for the solution of the eigenvalue problem of linear differential and integral operators, J. Res. National. Bureau. Standards., 45 (1950), pp. 255282.CrossRefGoogle Scholar
[14]Arnodi, W. E., The principle of minimized iterations in the solution of the matrix eigenvalue problems, Quarter. Appl. Math., 9 (1951), pp. 1729.Google Scholar
[15]Jiaxian, X., An improved method for partial eigensolution of large structures, Comput. Struct., 32 (1989), pp. 10551060.Google Scholar
[16]Bathe, K. J. and Ramaswamy, S., An accelerated subspace iteration method, Comput. Methods. Appl. Mech. Eng., 23(3) (1980), pp. 313331.CrossRefGoogle Scholar
[17]Bathe, K. J. and Wilson, E. L., Large eigenvalue problems in dynamic analysis, ASCE, Eng. Mech. Div., 98 (1972), pp. 14711485.Google Scholar
[18]Bathe, K. J. and Wilson, E. L., Solution methods for eigenvalue problems in structural mechanics, Int. J. Numer. Methods. Eng., 6 (1973), pp. 213266.Google Scholar
[19]Borri, M. and Mantegazza, P., Efficient solution of quadratic eigenproblems arising in dynamic analysis of structures, Comput. Methods. Appl. Mech. Eng., 12 (1977), pp. 1931.Google Scholar
[20]Chen, H. C. and Taylor, R. L., Solution of eigenproblems for damped structural systems by Lanczos algorithm, Comput. Struct., 30 (1988), pp. 151161.Google Scholar
[21]Saad, Y., Variations of Arnoldi’s method for computing eigenelements of large unsymmetric matrices, Linear. Algebra. Appl., 34 (1980), pp. 269295.Google Scholar
[22]Zheng, T. S., Liu, W. M. and Cai, Z. B., A general inverse iteration method for solution of quadratic eigenvalue problems in structural dynamic analysis, Comput. Struct., 33(5) (1989), pp. 11391143.CrossRefGoogle Scholar
[23]Ewins, D. J., Modal Testing: Theory, Practice and Applications, Research Studies Press, 2000.Google Scholar
[24]Bathe, K. J., Finite Element Procedures, Prentice Hall, 1996.Google Scholar
[25]Lin, R. M. and Lim, M. K., Relationship between improved inverse eigensensitivity and FRF sensitivity methods for analytical model updating, ASME J. Vibr. Acoust., 119(3) (1997), pp. 354363.Google Scholar
[26]Dailey, R. L., Eigenvector derivatives with repeated eigenvalues, AIAA J., 27(4) (1989), pp. 486491.CrossRefGoogle Scholar