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Hong-Ki Jo 1), Man-Gi Ko 2) and * In-Won Lee 3) 1) Graduate Student, Dept. of Civil Engineering, KAIST 2) Professor, Dept. of Civil Engineering, Kongju National University 3) Professor, Dept. of Civil Engineering, KAIST S IMPLIFIED A LGEBRAIC M ETHOD FOR C OMPUTING E IGENPAIR S ENSITIVITIES OF D AMPED S YSTEMS ISEC-01 Honolulu, Hawaii January 24-26, 2001
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Structural Dynamics and Vibration Control Lab., KAIST, Korea 2 OUTLINE INTRODUCTION PREVIOUS STUDIES PROPOSED METHOD NUMERICAL EXAMPLE CONCLUSIONS
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Structural Dynamics and Vibration Control Lab., KAIST, Korea 3 INTODUCTION Objective of Study Applications of Sensitivity Analysis - Determination of the sensitivity of dynamic responses - Optimization of natural frequencies and mode shapes - Optimization of structures subject to natural frequencies. - To find efficient sensitivity method of eigenvalues and eigenvectors of damped systems.
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Structural Dynamics and Vibration Control Lab., KAIST, Korea 4 Problem Definition (1) - Eigenvalue problem of damped system (N-space)
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Structural Dynamics and Vibration Control Lab., KAIST, Korea 5 (2) - Normalization condition - State space equation (2N-space) (3)
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Structural Dynamics and Vibration Control Lab., KAIST, Korea 6 Given: Find: - Objective * indicates derivatives with respect to design variables (length, area, moment of inertia, etc.)
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Structural Dynamics and Vibration Control Lab., KAIST, Korea 7 PREVIOUS STUDIES - many eigenpairs are required to calculate eigenvector derivatives. (2N-space) (4) (5) Q. H. Zeng, “Highly Accurate Modal Method for Calculating Eigenvector Derivatives in Viscous Damping System,” AIAA Journal, Vol. 33, No. 4, pp. 746-751, 1995. Structural Dynamics and Vibration Control Lab., KAIST, Korea
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8 Sondipon Adhikari, “Calculation of Derivative of Complex Modes Using Classical Normal Modes,” Computer & Structures, Vol. 77, No. 6, pp. 625-633, 2000. - many eigenpairs are required to calculate eigenvector derivatives. (N-space) - applicable only when the elements of C are small. (6) Structural Dynamics and Vibration Control Lab., KAIST, Korea
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9 I. W. Lee, D. O. Kim and G. H. Jung, “Natural Frequency and Mode Shape Sensitivities of Damped Systems: part I, Distinct Natural Frequencies,” Journal of Sound and Vibration, Vol. 223, No. 3, pp. 399-412, 1999. I. W. Lee, D. O. Kim and G. H. Jung, “Natural Frequency and Mode Shape Sensitivities of Damped Systems: part II, Multiple Natural Frequencies,” Journal of Sound and Vibration, Vol. 223, No. 3, pp. 413-424, 1999.
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Structural Dynamics and Vibration Control Lab., KAIST, Korea 10 Lee’s method (1999) (7) (8) - the corresponding eigenpairs only are required. (N-space) - the coefficient matrix is symmetric and non-singular. - eigenvalue and eigenvector derivatives are obtained separately.
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Structural Dynamics and Vibration Control Lab., KAIST, Korea 11 PROPOSED METHOD Rewriting basic equations - Eigenvalue problem - Normalization condition (9) (10)
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Structural Dynamics and Vibration Control Lab., KAIST, Korea 12 Differentiating eq.(9) with respect to design variable Differentiating eq.(10) with respect to design variable (11) (12)
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Structural Dynamics and Vibration Control Lab., KAIST, Korea 13 Combining eq.(11) and eq.(12) into a single matrix (13) - the corresponding eigenpairs only are required. (N-space) - the coefficient matrix is symmetric and non-singular. - eigenpair derivatives are obtained simultaneously.
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Structural Dynamics and Vibration Control Lab., KAIST, Korea 14 NUMERICAL EXAMPLE Cantilever beam with lumped dampers Design parameter : depth of beam Material PropertiesSystem Data Number of elements : 20 Number of nodes : 21 Number of DOF : 40 v1v1 v2v2
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Structural Dynamics and Vibration Control Lab., KAIST, Korea 15 Analysis Methods Zeng’s method (1995) Lee’s method (1999) Proposed method Comparisons Solution time (CPU)
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Structural Dynamics and Vibration Control Lab., KAIST, Korea 16 Results of Analysis (Eigenvalue) Mode number Eigenvalue Eigenvalue derivative 1-0.0035 - 1.0868i 0.0010 - 0.2997i 2-0.0035 + 1.0868i 0.0010 + 0.2997i 3-0.0203 - 6.0514i 0.0072 - 1.3173i 4-0.0203 + 6.0514i 0.0072 + 1.3173i 5-0.0422 - 14.7027i 0.0140 - 2.4536i 6-0.0422 + 14.7027i 0.0140 + 2.4536i 7-0.0719 - 24.7343i 0.0189 - 3.1194i 8-0.0719 + 24.7343i 0.0189 + 3.1194i 9-0.1106 - 35.3632i0.0213 - 3.4203i 10-0.1106 + 35.3632i0.0213 + 3.4203i
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Structural Dynamics and Vibration Control Lab., KAIST, Korea 17 Results of Analysis (First eigenvector) DOF number Eigenvector Eigenvector derivative 1 0.0013 + 0.0013i -0.0004 - 0.0004i 20.0050 + 0.0050i-0.0015 - 0.0015i 30.0049 + 0.0049i-0.0015 - 0.0015i 40.0096 + 0.0096i-0.0029 - 0.0029i 5 0.0108 + 0.0108i-0.0033 - 0.0032i 60.0139 + 0.0139i -0.0042 - 0.0042i 7 0.0188 + 0.0188i-0.0056 - 0.0056i 80.0179 + 0.0178i-0.0054 - 0.0053i 9 0.0287 + 0.0286i-0.0086 - 0.0085i 10 0.0215 + 0.0215i-0.0064 - 0.0064i
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Structural Dynamics and Vibration Control Lab., KAIST, Korea 18 CPU time for 40 Eigenpairs Method CPU time Ratio Lee’s method2.21 1.4 Proposed method 1.591.0 (sec) Zeng’s method 184.05115.8
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Structural Dynamics and Vibration Control Lab., KAIST, Korea 19 Δ : Zeng’s method (Using full modes(40), exact solution) : Zeng’s method (Using two modes(2), 5% error) : Lee’s method (Exact solution) : Proposed method(Exact solution) Fig 1. Comparison with previous method Δ 510152025303540 0 50 100 150 200 Modes CPU time (sec) Δ ΔΔΔΔΔ 184.05 61.47 Improvement about 99% 2.21 1.59 Structural Dynamics and Vibration Control Lab., KAIST, Korea
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20 : Lee’s method (Exact solution) : Proposed method(Exact solution) Fig 2. Comparison with Lee’s method Δ 510152025303540 0 0.5 1 1.5 2 2.5 Modes CPU time (sec) Δ Δ Δ Δ Δ Δ Δ Improvement about 25% 2.21 1.59 Structural Dynamics and Vibration Control Lab., KAIST, Korea
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21 CONCLUSIONS P roposed method - is composed of simple algorithm - guarantees numerical stability - reduces the CPU time. An efficient eigen-sensitivity technique !
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Structural Dynamics and Vibration Control Lab., KAIST, Korea 22 Thank you for your attention.
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Structural Dynamics and Vibration Control Lab., KAIST, Korea 23 Numerical Stability The determinant property (14) APPENDIX
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Structural Dynamics and Vibration Control Lab., KAIST, Korea 24 Then (15)
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Structural Dynamics and Vibration Control Lab., KAIST, Korea 25 Arranging eq.(15) (16) Using the determinant property of partitioned matrix (17)
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Structural Dynamics and Vibration Control Lab., KAIST, Korea 26 Therefore Numerical Stability is Guaranteed. (18)
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Structural Dynamics and Vibration Control Lab., KAIST, Korea 27 Lee’s method (1999) Differentiating eq.(1) with respect to design variable (19) Pre-multiplying each side of eq.(19) by gives eigenvalue derivative. (20)
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Structural Dynamics and Vibration Control Lab., KAIST, Korea 28 Differentiating eq.(3) with respect to design variable (21) Combining eq.(19) and eq.(21) into a matrix gives eigenvector derivative. (22)
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