UK Turbulence Consortium

英国湍流协会

• 批准号: EP/R029326/1
• 负责人: Sylvain Laizet
• 金额: $ 88.33万
• 依托单位: Imperial College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FR029326%2F1
• 关键词: UK; Turbulence; Consortium

Understanding, predicting and controlling turbulent flows is of central importance and a limiting factor to a vast range of industries: naval, aeronautical, automotive, power generation, process, pharmaceutical, meteorological and environmental. Our view is that the key to advances in turbulence is by sustaining and stimulating interaction among researchers. It is essential that a diverse range of viewpoints, opinions, strategies and methods are brought together in an efficient and constructive manner. The essence of the consortium is to provide the central core of a needed critical mass activity considering the big challenges posed by turbulence. The consortium brings together complementary expertise/experience/knowledge and coordinate activities to look at coherent, rational and strategic ways of understanding, predicting and controlling turbulent flows using High Performance Computing. The consortium is crucial for the UK in order to coordinate, augment and unify the research efforts of its participants and to communicate its expertise and findings to a wider audience. Firstly funded in 1995, the UKTC has been through five highly successful iterations. It has seen significant growth since its inception, from 5 original members to 46 members over 21 UK institutions for the present bid, and is continuously receiving requests from academics to join (20 new members for the present bid). In the last 22 years, the UKTC has (i)demonstrated its ability to convert access to national High-End Computing (HEC) resources into internationally leading research (hundreds published papers since 1995 with thousands non-self citations), (ii) established its international competiveness, (iii) helped its members to leverage and secure multi -million £ grants from governmental funding bodies and industries, (iv) allowed the discovery of new fluid flow phenomena which have led to new ways of improving beneficial effects and reducing negative effects of turbulent flows and (v) facilitated the design of more sophisticated turbulence models redefining industry standards.The member of the consortium are (in alphabetic order): Pavlos Aleiferis (Imperial College London); Eldad Avital (Queen Mary London); Angela Busse (University of Glasgow); Yongmann Chung (University of Warwick); Dimitris Drikakis (University of Strathclyde); David Emerson (Daresbury Lab); Jian Fang (Daresbury Lab); Gerard Gorman (Imperial College London); Shuishen He (University of Sheffield); Yongyun Hwang (Imperial College London); Richard Jefferson-Loveday (University of Nottingham); Xi Jiang (Queen Mary London); Robert Kerr (University of Warwick); Jae-Wook Kim (University of Southampton); Sylvain Laizet (Imperial College London); Michael A. Leschziner (Imperial College London); Kai Luo (University College London); Xuerui Mao (University of Nottingham); Olaf Marxen (University of Surrey); Joanne Mason (University of Exeter); Aimee S. Morgans (Imperial College London); Charles Moulinec (Daresbury Lab); Gary Page (Loughborough University); George Papadakis (Imperial College London); Matthew Piggott (Imperial College London); Alfredo Pinelli (City University London); Alistair Revell (University of Manchester); Pierre Ricco (University of Sheffield); Aldo Rona (University of Leicester); Neil Sandham (University of Southampton); Mark Savill (University of Cranfield); Peter Schmid (Imperial College London); Mehdi Seddighi (University of Liverpool); Spencer Sherwin (Imperial College London); John S. Shrimpton (University of Southampton); Vassilios Theofilis (University of Liverpool); Emile Touber (Imperial College London); Paul Tucker (University of Cambridge); Maarten van Reeuwijk (Imperial College London); J. Christos Vassilicos (Imperial College London); Peter Vincent (Imperial College London); Andy Wheeler (Univer-sity of Cambridge); Beth Wingate (University of Exeter); Jun Xia (Brunel University London); Yufen Yao (University of Bristol).

了解、预测和控制湍流对许多行业至关重要，也是一个限制因素，这些行业包括：海军、航空、汽车、发电、工艺、制药、气象和环境。我们的观点是，湍流进展的关键是维持和刺激研究人员之间的互动。必须以有效和建设性的方式将各种不同的观点、意见、战略和方法结合在一起。考虑到动荡带来的巨大挑战，该联盟的本质是提供必要的临界质量活动的核心。该联盟将互补的专业知识/经验/知识结合在一起，并协调各种活动，以寻求一致、合理和战略性的方法，以了解、预测和控制使用高性能计算的湍流。该联盟对英国来说至关重要，以协调、加强和统一其参与者的研究努力，并将其专业知识和发现传达给更广泛的受众。UKTC成立于1995年，迄今已经历了五次非常成功的迭代。自成立以来，它已经有了显著的增长，从5个原始成员到超过21个英国机构的46个成员本次申办，并不断收到学者的加入请求(20个新成员为本次申办)。在过去的22年里，UKTC(I)展示了它将国家高端计算(HEC)资源的访问转化为国际领先研究的能力(自1995年以来发表的数百篇论文，其中有数千篇非自我引用)，(Ii)建立了其国际竞争力，(Iii)帮助其成员利用并获得政府资助机构和行业的数百万GB赠款，(4)允许发现新的流体流动现象，这导致了改进湍流有益影响和减少湍流负面影响的新方法，以及(5)促进了更复杂的湍流模型的设计，重新定义了行业标准。埃尔达德·阿维塔尔(玛丽·伦敦女王)；Angela Busse(格拉斯哥大学)；永曼·钟(华威大学)；Dimitris Drikakis(斯特拉斯克莱德大学)；David Emerson(达累斯伯里实验室)；Jian Fang(达累斯伯里实验室)；Gerard Gorman(伦敦帝国学院)；Michael A.Leschziner(谢菲尔德大学)；永运黄永云(伦敦帝国学院)；Richard Jefferson-Loveday(诺丁汉大学)；蒋曦(伦敦玛丽女王)；Robert Kerr(华威大学)；Jae-Wook Kim(南安普顿大学)；Sylvain Laizet(伦敦帝国学院)；Michael A.Leschziner(帝国学院)；Luo(伦敦大学学院)；毛雪瑞(诺丁汉大学)；奥拉夫·马克森(萨里大学)；乔安妮·梅森(埃克塞特大学)；艾米·摩根(伦敦帝国学院)；查尔斯·穆里内克(达累斯伯里实验室)；加里·佩奇(拉夫堡大学)；乔治·帕帕达基斯(帝国学院伦敦)；马修·皮戈特(帝国学院)；阿尔弗雷多·皮内利(伦敦城市大学)；阿利斯泰尔·雷维尔(曼彻斯特大学)；皮埃尔·里科(谢菲尔德大学)；阿尔多·罗纳(莱斯特大学)；尼尔·桑德汉姆(南安普顿大学)；马克·萨维尔(克兰菲尔德大学)；彼得·施密德(伦敦帝国学院)；梅赫迪·塞迪吉(利物浦大学)；Spencer Sherwin(伦敦帝国理工学院)；John S.Shrimpton(南安普顿大学)；Vassilios Theofilis(利物浦大学)；Emile Touber(伦敦帝国理工学院)；Paul Tucker(剑桥大学)；Maarten van Reeuwijk(伦敦帝国理工学院)；J.Christos Vassilicos(伦敦帝国理工学院)；Peter Vincent(伦敦帝国理工学院)；Andy Wheeler(剑桥大学)；Beth Wingate(埃克塞特大学)；Jun Xia(布鲁内尔大学)；Yufen姚(布里斯托尔大学)。

项目成果

Influence of grid resolution on the spectral characteristics of noise radiated from turbulent jets: Sound pressure fields and their decomposition

网格分辨率对湍流射流辐射噪声频谱特性的影响：声压场及其分解

• DOI: 10.1016/j.compfluid.2019.104343
• 发表时间: 2020
• 期刊: Computers & Fluids
• 影响因子: 2.8
• 作者: Angelino M

Numerical study of Fourier-filtered rough surfaces

傅立叶滤波粗糙表面的数值研究

• DOI: 10.1103/physrevfluids.6.084606
• 发表时间: 2021
• 期刊: Physical Review Fluids
• 影响因子: 2.7
• 作者: Alves Portela F

Numerical investigation of full helicopter with and without the ground effect

考虑和不考虑地面效应的全直升机数值研究

• DOI: 10.1016/j.ast.2022.107401
• 发表时间: 2022
• 期刊: Aerospace Science and Technology
• 影响因子: 5.6
• 作者: A.S.F. Silva P

Numerical Investigation of Installed Jet Noise Sensitivity to Lift and Wing/Engine Positioning

安装的喷气噪声对升力和机翼/发动机定位的敏感性的数值研究

• DOI: 10.2514/6.2019-2770
• 发表时间: 2019
• 作者: Angelino M

UCNS3D: An open-source high-order finite-volume unstructured CFD solver

• DOI: 10.1016/j.cpc.2022.108453
• 发表时间: 2022-06
• 期刊: Comput. Phys. Commun.
• 作者: A. Antoniadis;D. Drikakis;P. Farmakis;Lin Fu;I. Kokkinakis;X. Nogueira;P. Silva;M. Skote;V. Titarev;Panagiotis Tsoutsanis