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Two large-scale computational acoustics problems: Disk brake squeal prediction and silencer performance prediction.

机译：两个大的计算声学问题：盘式制动器的尖叫声预测和消音器性能预测。

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摘要

In this dissertation, two large-scale computational acoustic applications are studied. One is the disk brake squeal prediction and the other is the silencer performance prediction. These two applications will involve large-scale models that cannot be fit in a single computer and/or take too much time to compute.; For the disk brake system squeal prediction application, the finite element method (FEM) is used. A general formulation of the dynamic system equations is presented. Due to the friction mechanism, the matrices in the dynamic system equations are unsymmetric. Furthermore, for the system with damping, a quadratic eigenvalue problem (QEP) has to be solved. The linearization method converts the QEP into a generalized eigenvalue problem but the problem size is doubled. Since the size of the matrices is so large, the direct eigenvalue solver such as the QZ method cannot be applied. An adaptive block Lanczos method for non-symmetric eigenvalue problem is therefore used to solve for eigenvalues. Numerical experiments show that the ABLE algorithm is effective and efficient to extract the first a few eigenvalues of large-scale sparse unsymmetrical matrices.; In the application of silencer performance prediction, the transmission loss (TL) needs to be evaluated. Since silencers used in industry usually have complicated internal components, the direct mixed-body boundary element method (BEM), which can mesh each component independently, is used. However, the numerical models may become too large to fit in a single computer and/or the simulation may take too much time. Three solutions to overcome this difficulty are presented. The impedance matrix synthesis method is used for multiply connected exhaust network systems. For more complicated models, the substructuring idea can be employed. Finally, the multithread and vector BEM computation on multi-processor PC workstations is described. Numerical examples show that these methods are effective to predict the performance of large-scale silencers.
机译：本文研究了两种大规模的计算声学应用。一种是盘式制动器的尖叫声预测，另一种是消音器性能预测。这两个应用程序将涉及无法在一台计算机上安装的大型模型，并且/或者需要太多时间进行计算。对于盘式制动系统的尖叫声应用，使用了有限元方法（FEM）。提出了动力学系统方程的一般公式。由于摩擦机理，动力系统方程中的矩阵是不对称的。此外，对于具有阻尼的系统，必须解决二次特征值问题（QEP）。线性化方法将QEP转换为广义特征值问题，但问题大小增加了一倍。由于矩阵的大小太大，因此无法应用诸如QZ方法的直接特征值求解器。因此，针对非对称特征值问题的自适应块Lanczos方法用于求解特征值。数值实验表明，ABLE算法有效地提取了大型稀疏非对称矩阵的前几个特征值。在消音器性能预测的应用中，需要评估传输损耗（TL）。由于工业中使用的消音器通常具有复杂的内部组件，因此使用了可以独立地划分每个组件的直接混合体边界元方法（BEM）。但是，数值模型可能会变得太大而无法容纳在一台计算机中和/或模拟可能会花费太多时间。提出了克服这一困难的三种解决方案。阻抗矩阵合成方法用于多重连接的排气网络系统。对于更复杂的模型，可以采用子结构思想。最后，描述了多处理器PC工作站上的多线程和矢量BEM计算。数值算例表明，这些方法可有效预测大型消音器的性能。

著录项

  • 作者

    Lou, Gang.;

  • 作者单位

    University of Kentucky.;

  • 授予单位 University of Kentucky.;
  • 学科 Engineering Mechanical.
  • 学位 Ph.D.
  • 年度 2002
  • 页码 173 p.
  • 总页数 173
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 机械、仪表工业;
  • 关键词

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