Computational vibro-acoustic modeling for aircraft fuselage design optimization

用于飞机机身设计优化的计算振动声学建模

基本信息

  • 批准号:
    453375-2013
  • 负责人:
  • 金额:
    $ 2.4万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Collaborative Research and Development Grants
  • 财政年份:
    2018
  • 资助国家:
    加拿大
  • 起止时间:
    2018-01-01 至 2019-12-31
  • 项目状态:
    已结题

项目摘要

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.
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,庞巴迪宇航公司不断寻求最佳的飞机设计 ** 和制造方法。该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,同时尽量减少隔音材料的添加,并消除昂贵和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 ** 模型将使庞巴迪能够通过不同的飞机机身设计预测声传输损失(声噪声衰减)**,而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寻找最佳的机身设计。这一目标有两项主要任务。第一个任务是找到设计,提供最高的声学噪声衰减与最低的重量每单位面积。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(包括燃料消耗(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,** 将影响与制造和运营成本相关的因素。预测 ** 振动-声学噪声传输的计算模型将允许完成此迭代过程,而无需在最后阶段进行 ** 原型测试,因此节省了大量时间和金钱。

项目成果

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Mechefske, Chris其他文献

Remaining useful life estimation using a bidirectional recurrent neural network based autoencoder scheme
  • DOI:
    10.1016/j.ymssp.2019.05.005
  • 发表时间:
    2019-08-15
  • 期刊:
  • 影响因子:
    8.4
  • 作者:
    Yu, Wennian;Kim, Il Yong;Mechefske, Chris
  • 通讯作者:
    Mechefske, Chris
Analysis of different RNN autoencoder variants for time series classification and machine prognostics
  • DOI:
    10.1016/j.ymssp.2020.107322
  • 发表时间:
    2021-02-15
  • 期刊:
  • 影响因子:
    8.4
  • 作者:
    Yu, Wennian;Kim, Il Yong;Mechefske, Chris
  • 通讯作者:
    Mechefske, Chris
An improved similarity-based prognostic algorithm for RUL estimation using an RNN autoencoder scheme
  • DOI:
    10.1016/j.ress.2020.106926
  • 发表时间:
    2020-07-01
  • 期刊:
  • 影响因子:
    8.1
  • 作者:
    Yu, Wennian;Kim, Ii Yong;Mechefske, Chris
  • 通讯作者:
    Mechefske, Chris

Mechefske, Chris的其他文献

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{{ truncateString('Mechefske, Chris', 18)}}的其他基金

Dynamic property characterization in gear rings made from powdered metal**
粉末金属制成的齿圈的动态特性表征**
  • 批准号:
    533724-2018
  • 财政年份:
    2018
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Engage Grants Program
Machine tool monitoring using data analytics and physics-based models
使用数据分析和基于物理的模型进行机床监控
  • 批准号:
    523509-2018
  • 财政年份:
    2018
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Collaborative Research and Development Grants

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Computational vibro-acoustic modeling for aircraft fuselage design optimization
用于飞机机身设计优化的计算振动声学建模
  • 批准号:
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  • 财政年份:
    2017
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