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Acoustic design of boundary segments in aircraft fuselages using topology optimization and a specialized acoustic pressure function

机译:飞机机身边界段的声学设计,采用拓扑优化和专门的声压功能

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In most aviation applications, a major cost benefit can be achieved by a reduction of the system weight. Often the acoustic properties of the fuselage structure are not in the focus of the primary design process, too. A final correction of poor acoustic properties is usually done using insulation mats in the chamber between the primary and secondary shell. It is plausible that a more sophisticated material distribution in that area can result in a substantially reduced weight. Topology optimization is a well-known approach to reduce material of compliant structures. In this paper an adaption of this method to acoustic problems is investigated. The gap full of insulation mats is suitably parameterized to achieve different material distributions. To find advantageous configurations, the objective in the underlying topology optimization is chosen to obtain good acoustic pressure patterns in the aircraft cabin. An important task in the optimization is an adequate Finite Element model of the system. This can usually not be obtained from commercially available programs due to the lack of special sensitivity data with respect to the design parameters. Therefore an appropriate implementation of the algorithm has been done, exploiting the vector and matrix capabilities in the MATLAB® environment. Finally some new aspects of the Finite Element implementation will also be presented, since they are interesting on its own and can be generalized to efficiently solve other partial differential equations as well.
机译:在大多数航空应用中,可以通过减轻系统重量来实现主要的成本优势。通常,机身结构的声学特性也不是主要设计过程的重点。通常使用一级和二级外壳之间的腔室中的绝缘垫来完成对不良声学特性的最终校正。可能的是,在该区域中更复杂的材料分布可能导致重量大大降低。拓扑优化是一种减少顺应性结构材料的众所周知的方法。在本文中,研究了该方法对声学问题的适应性。绝缘垫充满的间隙被适当地参数化以实现不同的材料分布。为了找到有利的配置,选择基础拓扑优化中的目标以在飞机机舱中获得良好的声压模式。优化中的重要任务是建立适当的系统有限元模型。由于缺乏有关设计参数的特殊灵敏度数据,通常无法从市售程序中获得此信息。因此,已经利用MATLAB®环境中的矢量和矩阵功能对算法进行了适当的实现。最后,还将介绍有限元实现的一些新方面,因为它们本身很有趣,并且可以泛化以有效地求解其他偏微分方程。

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