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High-Reynolds-Number Turbulence Database: AeroFlowData

文献类型：期刊论文

作者Zhang WW(张伟为)14,15,16; Shan, Xianglin14,15,16; Liu, Yilang14,15,16; Zhang, Xiao11,12,13; Wan, Zhenhua10; Li XL(李新亮)9; Sha, Xinguo8; Zhao, Junbo8; Xu, Hui7; He, Chuangxin1
刊名SCIENTIFIC DATA
出版日期2025-08-27
卷号12期号:1页码:23
DOI10.1038/s41597-025-05846-4
通讯作者Zhang, Weiwei(aeroelastic@nwpu.edu.cn)
英文摘要Turbulence widely appears in natural and industrial environments, with its multi-scale structures posing significant challenges for accurate simulation and prediction. Nowadays, turbulence databases play a crucial role in advancing scientific research. However, existing turbulence databases primarily focus on fundamental turbulence problems and are predominantly limited to turbulent flows at low-to-moderate Reynolds number, making them insufficient to address high-Reynolds-number turbulence challenges in complex engineering applications. Under the support of National Natural Science Foundation of China, the research project "Integration research on construction of high Reynolds number turbulence databases and turbulence machine learning" has been conducted, leading to the establishment of the globally shared high-Reynolds-number turbulence database, AeroFlowData. This database is developed under the leadership of Northwestern Polytechnical University, in collaboration with eight research institutions in China. The project team employs numerical simulations, experimental measurements, and data assimilation methods to acquire turbulence data. AeroflowData currently includes nearly 40 models, covering hypersonic vehicles, civil aircrafts, and turbomachinery blades, with over 500 computational and experimental flow conditions and a total data of nearly 100TB.
分类号二类/Q1
WOS关键词DIRECT NUMERICAL-SIMULATION ; BOUNDARY-LAYER ; SKIN-FRICTION ; SIMILARITY ; FLOWS
资助项目National Natural Science Foundation of China (National Science Foundation of China)[92152301] ; National Natural Science Foundation of China
WOS研究方向Science & Technology - Other Topics
语种英语
WOS记录号WOS:001559103500007
资助机构National Natural Science Foundation of China (National Science Foundation of China) ; National Natural Science Foundation of China
其他责任者张伟为
源URL[http://dspace.imech.ac.cn/handle/311007/103617]  
专题力学研究所_高温气体动力学国家重点实验室
作者单位1.Shanghai Jiao Tong Univ, Sch Mech Engn, Key Lab, Educ Minist Power Machinery & Engn, Shanghai 200240, Peoples R China;
2.Xi An Jiao Tong Univ, Sch Aerosp Engn, Xian 710049, Peoples R China
3.Tsinghua Univ, Sch Aerosp Engn, Beijing 100084, Peoples R China;
4.Harbin Inst Technol, Sch Civil Engn, Harbin 150090, Peoples R China;
5.Northwestern Polytech Univ, Sch Power & Energy, Xian 710129, Peoples R China;
6.Zhejiang Univ, Dept Engn Mech, Hangzhou 310027, Peoples R China;
7.Shanghai Jiao Tong Univ, Sch Aeronaut & Astronaut, Shanghai, Peoples R China;
8.China Acad Aerosp Aerodynam, Beijing 100074, Peoples R China;
9.Chinese Acad Sci, Inst Mech, LHD, Beijing 100190, Peoples R China;
10.Univ Sci & Technol China, Dept Modern Mech, Hefei 230027, Peoples R China;
推荐引用方式
GB/T 7714		 Zhang WW,Shan, Xianglin,Liu, Yilang,et al. High-Reynolds-Number Turbulence Database: AeroFlowData[J]. SCIENTIFIC DATA,2025,12(1):23.
APA 张伟为.,Shan, Xianglin.,Liu, Yilang.,Zhang, Xiao.,Wan, Zhenhua.,...&Chen, Gang.(2025).High-Reynolds-Number Turbulence Database: AeroFlowData.SCIENTIFIC DATA,12(1),23.
MLA 张伟为,et al."High-Reynolds-Number Turbulence Database: AeroFlowData".SCIENTIFIC DATA 12.1(2025):23.

入库方式： OAI收割

来源：力学研究所

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