RESEARCH ON PREDICION METHOD OF AEROACOUSTIC VIBRATION ENVIRONMENT ON AIRCRAFT SURFACE

Xiaoguang Zhang, Bin Li, Huixue Dang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The engine and aerodynamic noise of high-speed aircraft will cause damage and fatigue damage of the structure caused by the vibration of the aircraft structure. In order to ensure the high reliability of the aircraft, the surface noise of the aircraft needs to be predicted in the design and development stage of the aircraft. The vibration noise sources of the aircraft in cruise state are sorted out, including the boundary layer noise and engine noise on the surface of the body. The external dynamic load of typical mission profile of aircraft is calculated by CFD (Computational Fluid Dynamics) simulation and empirical formula. Firstly, NLAS (nonlinear noise solution) method is used to simulate the surface noise and jet noise of the aircraft; Then, the sound pressure levels of engine combustion noise, turbine noise and fan noise are calculated respectively based on empirical formula. Considering the acoustic radiation of engine noise on the fuselage surface, the acoustic radiation calculated by empirical formula is added to the surface of the aircraft body, and the total noise and sound pressure level of the aircraft surface is obtained. A precise prediction method for aerodynamic noise load on the surface of aircraft is established.

Original languageEnglish
Title of host publicationProceedings of the 28th International Congress on Sound and Vibration, ICSV 2022
PublisherSociety of Acoustics
ISBN (Electronic)9789811850707
StatePublished - 2022
Event28th International Congress on Sound and Vibration, ICSV 2022 - Singapore, Singapore
Duration: 24 Jul 202228 Jul 2022

Publication series

NameProceedings of the International Congress on Sound and Vibration
ISSN (Electronic)2329-3675

Conference

Conference28th International Congress on Sound and Vibration, ICSV 2022
Country/TerritorySingapore
CitySingapore
Period24/07/2228/07/22

Keywords

  • computational aeroacoustics
  • empirical formula
  • near field noise
  • noise prediction
  • nonlinear acoustic method

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