Stability of Skew Plates Subjected to Aerodynamic and Random In-Plane Force

碩士 === 國立臺灣科技大學 === 機械工程研究所 === 84 === Panels are widely used structural elements in aerospace structures. Therefore, lots of research works have been published pertaining to panel flutter. In real situations, panels may be acted upon by in...

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Bibliographic Details
Main Authors: Chen-Wei Lee, 李振偉
Other Authors: Tyau-Her Young
Format: Others
Language:zh-TW
Published: 1996
Online Access:http://ndltd.ncl.edu.tw/handle/22508494903404864418
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Summary:碩士 === 國立臺灣科技大學 === 機械工程研究所 === 84 === Panels are widely used structural elements in aerospace structures. Therefore, lots of research works have been published pertaining to panel flutter. In real situations, panels may be acted upon by in-plane forces due to the surrounding structures in addition to the aerodynamic force. This in-plane force plays significant roles in stability of the structures. The effect of static and periodic force has been investigated by several researchers. But very few references studies the effect of random in-plane force. This thesis studies the stability of panels subjected to both aerodynamic and random in-plane forces. The panels are modeled as a cantilever skew plate, the aerodynamic pressure distribution is assumed to obey the piston theory, and the in-plane force is characterized as a Gussian white noise. Due to this in-plane force, the plate may exhibit parametric random instability in certain situations. In this work, the finite element formulation is applied to obtain the discretized system equations. The system equations are then partially uncoupled and reduced in size by the modal truncation method. Finally the unsmoothed and the smoothed version of the stochastic averaging are used to calculate the system response, and the second- moment stability criterion is utilized to determine the stability boundary of the system. Numerical results show that the effects of aerodynamic pressure and in-plane force are destabilizing, and stability boundaries obtained by the smoothed stochastic averaging are more conservative than those obtained by the unsmoothed version.