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Design optimization of mid-frequency vibro-acoustic systems using a statistical modal energy distribution analysis model

机译:使用统计模态能量分配分析模型设计中频振动声学系统的设计优化

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摘要

In the past decades, many researches have been done on the design optimization of low- and high-frequency vibro-acoustic systems. However, the work of mid-frequency vibro-acoustic systems was rarely reported. As an improved statistical energy analysis (SEA), statistical modal energy distribution analysis (SmEdA) is based on the power balance between modes in different subsystems and extends SEA to mid-frequency range. In this article, an optimization procedure for mid-frequency vibro-acoustic systems based on SmEdA is presented. First, a vibro-acoustic system can be decoupled by using the dual-modal formulation (DMF) into a structural subsystem and an acoustic subsystem. Then, the optimization model is built by designating the total energy of the acoustic subsystem as objective function and the structural thicknesses as design variables. Finally, the optimal solution is obtained by using the method of moving asymptotes (MMA) which need to be provided with the gradient information of the objective and constraint functions in each iteration. Therefore, a sensitivity analysis about the total energy of the acoustic subsystem with respect to the thicknesses of the structures surrounding the interior acoustic cavity is performed by adopting a semi-analytical method. Moreover, a coefficient condensation technique is introduced in the sensitivity analysis to avoid the dimensional inconformity of the coefficient matrices in SmEdA due to the variation of the number of modes with the perturbation of structural sizes. Numerical examples are given to validate the effectiveness of the optimization procedure.
机译:在过去的几十年中,已经在低频和高频振动声系统的设计优化上进行了许多研究。然而,很少报道中频振动声系统的工作。作为改进的统计能量分析(SEA),统计模态能量分配分析(SMEDA)基于不同子系统中模式之间的功率平衡,并将海延伸到中频范围。在本文中,提出了基于SMEDA的中频振动声系统的优化过程。首先,可以通过使用双模态配方(DMF)进入结构子系统和声学子系统来解耦振动声系统。然后,通过将声学子系统的总能量指定为目标函数和结构厚度作为设计变量来构建优化模型。最后,通过使用需要提供渐近的方法(MMA)的方法获得最佳解决方案,这需要提供每次迭代中的目标和约束函数的梯度信息。因此,通过采用半分析方法,执行关于围绕内部声腔围绕内部声腔的结构的厚度的关于声学子系统的总能量的灵敏度分析。此外,在灵敏度分析中引入了系数冷凝技术,以避免由于具有结构尺寸的扰动的模式的变化而导致SMEDA中系数矩阵的尺寸不合格。给出了数值例子来验证优化过程的有效性。

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