An adjoint method of sensitivity analysis for residual vibrations of structures subject to impacts

For structures subject to impact loads, the residual vibration reduction is more and more important as the machines become faster and lighter. An efficient sensitivity analysis of residual vibration with respect to structural or operational parameters is indispensable for using a gradient based opti...

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Bibliographic Details
Published inJournal of sound and vibration Vol. 418; pp. 15 - 35
Main Authors Yan, Kun, Cheng, Gengdong
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier Ltd 31.03.2018
Elsevier Science Ltd
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Summary:For structures subject to impact loads, the residual vibration reduction is more and more important as the machines become faster and lighter. An efficient sensitivity analysis of residual vibration with respect to structural or operational parameters is indispensable for using a gradient based optimization algorithm, which reduces the residual vibration in either active or passive way. In this paper, an integrated quadratic performance index is used as the measure of the residual vibration, since it globally measures the residual vibration response and its calculation can be simplified greatly with Lyapunov equation. Several sensitivity analysis approaches for performance index were developed based on the assumption that the initial excitations of residual vibration were given and independent of structural design. Since the resulting excitations by the impact load often depend on structural design, this paper aims to propose a new efficient sensitivity analysis method for residual vibration of structures subject to impacts to consider the dependence. The new method is developed by combining two existing methods and using adjoint variable approach. Three numerical examples are carried out and demonstrate the accuracy of the proposed method. The numerical results show that the dependence of initial excitations on structural design variables may strongly affects the accuracy of sensitivities.
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content type line 14
ISSN:0022-460X
1095-8568
DOI:10.1016/j.jsv.2017.12.015