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Applicability of Empirical Tolerance Limit for Wrinkled-Membrane Distortions

机译:皱膜变形的经验公差极限的适用性

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摘要

This paper evaluates the applicability of the stochastic method to membrane-wrinkling problems. The stochastic method is used to compute a conservative upper bound of structural responses for membrane-wrinkling problems based on measurements at selected points. An empirical tolerance limit, which is defined as the value that exceeds the possible structural responses for at least a proportion of beta among all values with a confidence level of 50% (P beta/50), was applied. The spatial distribution of the wrinkled-membrane distortion, presented by point-to-point variation in the out-of-plane displacement at various points on the membrane surface, was investigated through a wrinkling analysis based on shell theory. A practical method for computing a conservative upper bound of the wrinkled-membrane distortions based on measurements at selected points was then proposed and evaluated for the wrinkling phenomena in three membrane models: a rectangular membrane under shear and tension loadings, a stretched circular membrane with a rotating center hub, and a square membrane subjected to corner tension loads. The calculated upper bounds approximately enveloped the wrinkled-membrane profile, confirming that this method provides a new and simple statistical approach for estimating highly nonlinear wrinkling behavior.
机译:本文评估了随机方法在膜起皱问题上的适用性。随机方法用于基于选定点的测量值来计算膜皱纹问题的结构响应的保守上限。应用经验公差极限,该极限定义为在所有置信水平为50%(P beta / 50)的值中,对于至少一部分beta超过可能的结构响应的值。通过基于壳理论的起皱分析,研究了起皱膜变形的空间分布,该现象由膜表面各个点的面外位移的点对点变化表示。然后,提出了一种实用的方法,基于选定点的测量值,计算出保守的褶皱膜变形上限,并评估了三种膜模型中的褶皱现象:在剪切和拉伸载荷下的矩形膜,具有拉伸应力的圆形膜。旋转的中心轮毂,以及承受角部拉力载荷的方形膜片。计算出的上限大约包围了皱纹膜的轮廓,证实了该方法为估计高度非线性的皱纹行为提供了一种新的简单统计方法。

著录项

  • 来源
    《AIAA Journal》 |2019年第6期|2562-2574|共13页
  • 作者单位

    Tottori Univ, Dept Mech & Aerosp Engn, Tottori 6808551, Japan|AIAA, Reston, VA 20191 USA;

    Tottori Univ, Dept Mech & Aerosp Engn, Tottori 6808551, Japan;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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