Computational vibro-acoustic modeling for aircraft fuselage design optimization

为了保持商业竞争力并限制其活动（飞机制造和使用）对环境的影响，庞巴迪宇航不断寻求最佳的飞机设计和制造方法。这个项目的重点是如何减少从飞机外部到内部通过机身传播的噪音，同时尽量减少隔音屏障材料的添加，并消除昂贵且对环境不友好的制造方法。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（FEM和BEM）振动声学模型。这些模型将允许庞巴迪通过不同的飞机机身设计来预测声传输损失（声学噪声衰减），而不需要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佳的机身设计。这个目标有两个主要任务。第一个任务是找到以最小单位面积重量提供最高噪声衰减的设计。第二项任务是评估可用于最佳机身设计的替代制造方法，以降低总体综合成本(包括燃油消耗（由于净重），制造成本（由于使用的材料和制造时间）和检查成本（以满足法规要求）。多参数优化**可能需要重新审视最初的“最佳”设计（以降低噪音）并进行修改，这些修改**将影响与制造和运营成本相关的因素。预测振动声噪声传输的计算模型将允许在不需要原型测试的情况下完成这一迭代过程，直到最后阶段，因此节省了大量的时间和金钱。

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.