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Identification of near sound field boundary and far field noise predictions.

机译:识别近声场边界和远场噪声预测。

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This dissertation presents an improved computational method that allows accurate determination of near sound field boundary and far field noise predictions. A computational fluid dynamics solution is used for nonlinear near-field pressure calculations. For the far field sound propagation prediction, both the Kirchhoff integral method and the finite element method are used and results are compared. Kirchhoff formulation is used to obtain the sound pressure in the far field in terms of a surface integral of the surface element pressure. Acoustic pressure history represents input for a Kirchhoff formulation for acoustic far field predictions. The prediction of acoustic loading is essential to provide a necessary input for the determination of the location of the Kirchhoff surface. For finite element modeling, the Gradient Adaptive Transfinite Element (GATE) family is adopted owing to its variable number of nodes and order of approximation for multiple field variables to an existing sub-domain.;Computational simulations included are monopole, cavity acoustics and rocket noise propagation problems. Results show that the newly developed method of locating the near field boundary helps improve far field predictions.
机译:本文提出了一种改进的计算方法,可以准确确定近声场边界和远场噪声预测。计算流体动力学解决方案用于非线性近场压力计算。对于远场声音传播预测,使用了基尔霍夫积分法和有限元法,并对结果进行了比较。 Kirchhoff公式用于获得远场中的声压,该声压是基于表面单元压力的表面积分。声压历史记录代表用于声场预测的基尔霍夫公式的输入。声载荷的预测对于为确定基尔霍夫表面的位置提供必要的输入至关重要。对于有限元建模,由于其节点数量可变以及对多个场变量到现有子域的逼近顺序而采用了梯度自适应超限元素(GATE)系列;包括的计算仿真包括单极子,腔声学和火箭噪声。传播问题。结果表明,新近开发的定位近场边界的方法有助于改善远场预测。

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