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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 106
PROCEEDINGS OF THE TWELFTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY Edited by:
Paper 163
Frequency Response Sensitivity: An Accurate Complex Modal Superposition Method L. Li, Y.J. Hu and X.L. Wang
School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, P.R. China L. Li, Y.J. Hu, X.L. Wang, "Frequency Response Sensitivity: An Accurate Complex Modal Superposition Method", in , (Editors), "Proceedings of the Twelfth International Conference on Computational Structures Technology", Civil-Comp Press, Stirlingshire, UK, Paper 163, 2014. doi:10.4203/ccp.106.163
Keywords: modal truncation error, residual flexibility, nonclassical damping, frequency response analysis, modal superposition method, sensitivity, harmonic response, design sensitivity analysis..
Summary
This paper is aimed at including the influence of the higher-order modes to the
frequency response sensitivities of non-classically viscously damped systems. An
accurate modal superposition method (AMSM), which only involves the available
modes and system matrices, is presented to accurately calculate the frequency
response sensitivities of non-classically damped systems. The AMSM is maintained
in the original-space without having to involve the state-space equations of motion.
The convergence condition only requires that all the modes whose resonant
frequencies lie within the range of the excitation frequencies must be used for mode
superposition. So it is easy to satisfy and the AMSM easily converges to the exact
results. The computational complexity of the AMSM and the direct frequency
response method (DFRM) is evaluated and compared. It is shown that the errors of
the sensitivities calculated using the mode displacement method (MDM) are
significant. The AMSM can reduce the modal-truncation error very rapidly. That is,
the AMSM can give almost the same accuracy with the exact results of the DFRM,
but save much computational cost. Therefore, the AMSM yields good trade-off
between the accuracy and the computational complexity.
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