首页> 外文会议>2002 ASME International Mechanical Engineering Congress and Exposition , Nov 17-22, 2002, New Orleans, Louisiana >STRUCTURAL/ACOUSTIC SENSITIVITY ANALYSIS OF A PANEL WITH MANUFACTURING VARIABILITY
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STRUCTURAL/ACOUSTIC SENSITIVITY ANALYSIS OF A PANEL WITH MANUFACTURING VARIABILITY

机译:具有制造变异性的面板的结构/声学灵敏度分析

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Sensitivity analysis is an essential component in the design of structural/acoustic systems. Current structural/acoustic sensitivity algorithms assume deterministic system design parameters and therefore predict changes in the deterministic response of the system. Due to variability associated with manufacturing tolerances most structural/acoustic systems consist of random and deterministic structural design parameters and therefore produce a probabilistic acoustic response. In this work, a structural/acoustic sensitivity algorithm is presented that considers systems comprised of random and deterministic design parameters. The new sensitivity algorithm calculates the change in the probabilistic vibro-acoustic response of a system due to a change in a deterministic design parameter. The new algorithm uses boundary element analysis, finite element analysis, and an advanced mean value method. An elastically supported panel subject to a non-uniform load is used to illustrate the algorithm. Variability is considered in the elastic support while structural sizing parameters are taken to be deterministic. The response of the panel is defined in terms of probabilistic radiated sound power. Probabilistic sound power sensitivity results are calculated and used to predict new sound power values via finite difference analysis. These results are compared successfully to results obtained through re-analysis.
机译:灵敏度分析是结构/声学系统设计中的重要组成部分。当前的结构/声学灵敏度算法采用确定性的系统设计参数,因此可以预测系统的确定性响应的变化。由于与制造公差相关的可变性,大多数结构/声学系统由随机的和确定性的结构设计参数组成,因此会产生概率的声学响应。在这项工作中,提出了一种结构/声学灵敏度算法,该算法考虑了由随机和确定性设计参数组成的系统。新的敏感度算法计算由于确定性设计参数的变化而导致的系统的概率振动声响应的变化。新算法使用边界元素分析,有限元分析和高级均值方法。使用承受非均匀载荷的弹性支撑面板来说明该算法。弹性支撑中考虑了可变性,而结构尺寸参数则是确定性的。面板的响应是根据概率辐射声功率定义的。计算概率声功率灵敏度结果,并通过有限差分分析将其用于预测新的声功率值。将这些结果成功地与通过重新分析获得的结果进行了比较。

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