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Fuselage structural dynamic and vibro-acoustic analysis, modeling, and optimization

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
负责人:
Mechefske, ChristopherCK
金额:
$3.61万
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:
2022
资助国家:
加拿大
项目状态:
已结题
起止时间:
2022-01-01 至 2023-12-31

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英文摘要
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.
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