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
- 来源:
- 关键词:
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
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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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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