IMECH-IR  > 高温气体动力学国家重点实验室
Numerical simulation of acoustic scattering and flow-induced noise with sharp interface immersed boundary method
Zhao C; Yang Y(杨焱); Zhang T; Dong HB
Source PublicationAIAA Scitech 2020 Forum
2020-01-05
Conference NameAIAA Scitech 2020 Forum
Conference Date2020/1/6-10
Conference PlaceOrlando, FL
Abstract

High efficient and quiet propulsion of flying and swimming animals promotes the investigations on acoustic scattering and flow-induced noise. One challenge for aero/hydro-acoustic simulation is the treatment on complex and moving solid boundaries, with retaining high-order accuracy. In this paper, a sharp interface immersed boundary method (IBM) was implemented in both fluid dynamics and aero/hydro-acoustics, within a hybrid approach. The hybrid approach combined a high-fidelity DNS solver for flow field and a low-dispersion, low-dissipation acoustic solver, with optimized computational aeroacoustic schemes, using the acoustic perturbation equations (APEs). A series of benchmark problems on aeroacoustic propagation and scattering acoustic fields with a cylinder or sphere scatterer were computed to validate the accuracy and boundary condition treatments of the acoustic solver, in two dimension and three dimension. Following this, the flow field and flow-induced noise of flow past a stationary cylinder, with Reynolds number 200 was presented. With the hybrid approach proposed in the paper, the potential for dealing with bio-inspired problems in flying and swimming animals is indicated.

Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://dspace.imech.ac.cn/handle/311007/85745
Collection高温气体动力学国家重点实验室
Recommended Citation
GB/T 7714
Zhao C,Yang Y,Zhang T,et al. Numerical simulation of acoustic scattering and flow-induced noise with sharp interface immersed boundary method[C]AIAA Scitech 2020 Forum,2020.
Files in This Item: Download All
File Name/Size DocType Version Access License
2020-0336.pdf(1785KB)会议论文 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Lanfanshu
Similar articles in Lanfanshu
[Zhao C]'s Articles
[Yang Y(杨焱)]'s Articles
[Zhang T]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhao C]'s Articles
[Yang Y(杨焱)]'s Articles
[Zhang T]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhao C]'s Articles
[Yang Y(杨焱)]'s Articles
[Zhang T]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 2020-0336.pdf
Format: Adobe PDF
This file does not support browsing at this time
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.