Computational vibro-acoustic modeling for aircraft fuselage design optimization

以保持商业竞争力并限制其活动对环境的影响 (飞机制造和使用)，庞巴迪航空航天公司不断寻求最佳飞机设计 和制造方法。这个项目的重点是如何减少传播的声学噪声。 通过机身从外部到内部，同时最大限度地减少增加的声学 阻隔材料，并消除昂贵和不环保的制造方法。 拟议的项目有两个主要目标。第一个目标是开发和实验验证 各种飞机机身设计的精确计算(有限元和边界元)振声模型。这些 然后，模型将允许庞巴迪预测声学传输损失(声学噪声衰减) 通过不同的飞机机身设计，无需昂贵的迭代实验测量。 第二个目标是使用新开发的计算建模工具来搜索最优 机身设计。这一目标有两项主要任务。第一个任务是找到提供 单位面积重量最小，噪音衰减最大。第二项任务是评估 可以与最佳机身设计一起使用的替代制造方法，以减少总体 综合成本(包括燃料消耗(由于净重)、制造成本(由于使用的材料 和制造时间)，以及检查成本(以满足法规要求)。多参数优化 可能需要重新检查原始的“最佳”设计(以降低噪音)，并进行修改，以 将影响与制造和运营成本相关的因素。预测的计算模型 振动-声学噪声传输将允许完成此迭代过程，而无需 样机测试直到最后阶段，因此节省了相当多的时间和金钱。

In order to remain commercially competitive and limit the environmental impact of their activities (manufacturing and use of aircraft), Bombardier Aerospace continually searches for optimum aircraft design and manufacturing methods. The focus of this project is on ways to reduce the acoustic noise transmitted through the fuselage from the exterior to the interior of the aircraft while minimizing the addition of acoustic barrier material and eliminating costly and environmentally unfriendly manufacturing methods. The proposed project has two main objectives. The first objective is to develop and experimentally verify accurate computational (FEM and BEM) vibro-acoustic models of various aircraft fuselage designs. These models will then allow Bombardier to predict the acoustic transmission loss (acoustic noise attenuation) through different aircraft fuselage designs without the need for expensive iterative experimental measurements. The second objective is to use the newly developed computational modeling tool to search for optimum fuselage designs. This objective has two principal tasks. The first task is to find the design that provides the highest acoustic noise attenuation with the lowest weight per unit area. The second task will be to evaluate alternative manufacturing methods that could be used with the optimum fuselage design to reduce overall combined costs (including fuel consumption (due to net weight), manufacturing costs (due to materials used and fabrication time), and inspection costs (to meet regulatory requirements). The multi-parameter optimization will likely require revisiting the original "optimal" design (for reduced noise) and making modifications that will affect factors related to manufacturing and operating costs. The computational model that predicts vibro-acoustic noise transmission will allow this iterative process to be completed without the need for prototype testing until the final stage, therefore saving considerable time and money.