Fuselage structural dynamic and vibro-acoustic analysis, modeling, and optimization
机身结构动力学和振动声学分析、建模和优化
基本信息
- 批准号:536637-2018
- 负责人:
- 金额:$ 3.1万
- 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:2021
- 资助国家:加拿大
- 起止时间:2021-01-01 至 2022-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Bombardier Aerospace maintains a high standard of advanced aircraft design through the use of sophisticated analysis and manufacturing methods. This includes measurement, analysis, and computational modeling of the structural dynamics and structure-borne acoustic behavior of the fuselage in response to external (engines and turbulence) and internal (sub-systems mounted within the fuselage) excitation. However, to improve the dynamic and vibro-acoustic behavior of the fuselage structure, Bombardier needs to develop new methodologies that will help define optimum configurations and material selection. The computational modeling and optimization tools to be developed will be used to define optimum fuselage designs. Optimum, in this case, refers to minimizing the structural vibration response to various excitations and/or limiting the frequency range of the responses as well as minimizing acoustic noise transmission through the fuselage while maintaining the lowest possible weight. Computational models that predict vibro-acoustic noise transmission will allow for the application of optimization strategies and an iterative process of development and virtual testing without the need for prototype fabrication and testing until the final stage.The proposed project includes three main objectives. These include the development of verified computational models of a fuselage mounted rear-engine aircraft. Verification will take place using modal testing on a matching physical model. The models will then be used to explore alternative structural modifications to the fuselage and support structures used to mount the engines and auxiliary systems. Extension of the computational structural dynamic model will include acoustic field estimation. These will then be used to investigate different structural components, material types, thicknesses, and placement to prevent acoustic noise from being transmitted through fuselage structures and skin. New topology optimization methods will also be developed focused on vibration damping and acoustic barrier material selection and placement primarily using minimization of the acoustic sound field within the cabin as the performance objective.
庞巴迪航空航天通过使用复杂的分析和制造方法维持高级飞机设计。这包括对外部(发动机和湍流)和内部(安装在机身)激发中的内部(发动机和湍流)的响应,对机身的结构动力学和结构传播的声学行为的测量,分析和计算建模。但是,为了改善机身结构的动态和氛围 - 声学行为,庞巴迪需要开发新的方法,以帮助定义最佳配置和材料选择。要开发的计算建模和优化工具将用于定义最佳机身设计。在这种情况下,最佳是指最大程度地减少对各种激发和/或限制响应频率范围的结构振动响应,并最大程度地减少通过机身的声噪声传递,同时保持最低的重量。预测氛围声音传输的计算模型将允许应用优化策略以及迭代的开发和虚拟测试过程,而无需原型制造和测试,直到最后阶段为止。拟议的项目包括三个主要目标。其中包括开发机身安装的后引擎飞机的经过验证的计算模型。验证将在匹配的物理模型上使用模态测试进行。然后,这些模型将用于探索用于安装发动机和辅助系统的机身和支撑结构的替代结构修饰。计算结构动态模型的扩展将包括声场估计。然后,这些将用于研究不同的结构组件,材料类型,厚度和放置,以防止声噪声通过机身结构和皮肤传播。还将开发出新的拓扑优化方法,重点是振动阻尼和声学屏障材料的选择和放置,主要使用机舱内的声学场最小化作为性能目标。
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, Christopher其他文献
Multi-mode diagnosis of a gas turbine engine using an adaptive neuro-fuzzy system
- DOI:
10.1016/j.cja.2017.11.017 - 发表时间:
2018-01-01 - 期刊:
- 影响因子:5.7
- 作者:
Hanachi, Houman;Liu, Jie;Mechefske, Christopher - 通讯作者:
Mechefske, Christopher
Performance-Based Gas Turbine Health Monitoring, Diagnostics, and Prognostics: A Survey
- DOI:
10.1109/tr.2018.2822702 - 发表时间:
2018-09-01 - 期刊:
- 影响因子:5.9
- 作者:
Hanachi, Houman;Mechefske, Christopher;Chen, Ying - 通讯作者:
Chen, Ying
Mechefske, Christopher的其他文献
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{{ truncateString('Mechefske, Christopher', 18)}}的其他基金
Hybrid Data-driven Physics-based Modeling for Machine Fault Detection, Diagnosis, and Prediction
用于机器故障检测、诊断和预测的混合数据驱动的基于物理的建模
- 批准号:
RGPIN-2019-03967 - 财政年份:2022
- 资助金额:
$ 3.1万 - 项目类别:
Discovery Grants Program - Individual
Hybrid Data-driven Physics-based Modeling for Machine Fault Detection, Diagnosis, and Prediction
用于机器故障检测、诊断和预测的混合数据驱动的基于物理的建模
- 批准号:
RGPIN-2019-03967 - 财政年份:2021
- 资助金额:
$ 3.1万 - 项目类别:
Discovery Grants Program - Individual
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:2021
- 资助金额:
$ 3.1万 - 项目类别:
Collaborative Research and Development Grants
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:2020
- 资助金额:
$ 3.1万 - 项目类别:
Collaborative Research and Development Grants
Hybrid Data-driven Physics-based Modeling for Machine Fault Detection, Diagnosis, and Prediction
用于机器故障检测、诊断和预测的混合数据驱动的基于物理的建模
- 批准号:
RGPIN-2019-03967 - 财政年份:2020
- 资助金额:
$ 3.1万 - 项目类别:
Discovery Grants Program - Individual
Fuselage structural dynamic and vibro-acoustic analysis, modeling, and optimization
机身结构动力学和振动声学分析、建模和优化
- 批准号:
536637-2018 - 财政年份:2020
- 资助金额:
$ 3.1万 - 项目类别:
Collaborative Research and Development Grants
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:2019
- 资助金额:
$ 3.1万 - 项目类别:
Collaborative Research and Development Grants
Hybrid Data-driven Physics-based Modeling for Machine Fault Detection, Diagnosis, and Prediction
用于机器故障检测、诊断和预测的混合数据驱动的基于物理的建模
- 批准号:
RGPIN-2019-03967 - 财政年份:2019
- 资助金额:
$ 3.1万 - 项目类别:
Discovery Grants Program - Individual
Fuselage structural dynamic and vibro-acoustic analysis, modeling, and optimization
机身结构动力学和振动声学分析、建模和优化
- 批准号:
536637-2018 - 财政年份:2019
- 资助金额:
$ 3.1万 - 项目类别:
Collaborative Research and Development Grants
Characterization and Control of Non-Steady State Machine Vibration
非稳态机器振动的表征和控制
- 批准号:
RGPIN-2014-05922 - 财政年份:2018
- 资助金额:
$ 3.1万 - 项目类别:
Discovery Grants Program - Individual
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