UK National Wind Tunnel Facility

NWTF（http：//www.nwtf.ac.uk/）是英国的领导者，在未来五年内，它将成为全球领先的实验流体力学网络化独特设施提供尖端科学，解决清洁增长的巨大挑战和航空航天，汽车和土木工程领域的未来移动性。通过高效和灵活的组织，它将提供战略性的协调监督，采用与工业一致的方法，在基于流体的系统、氢气和电动/混合动力运输、流体-结构相互作用、加热、噪音、污染物扩散、颗粒传播（Covid-19）和人为因素、风荷载、海岸侵蚀和海上可再生能源的效率方面，产生新的净零技术和知识。NWTF继续提供尖端研究，其能力以产出衡量，并将在新科学，研究能力和步伐方面扩大这一“三角洲”。它能够在原始的，具有挑战性的，高度相关的实验中开发新技能，提供新数据并为人工智能，建模和快速采用远程访问和机器人技术等创新技术建立“数字线程”。通过包容性的方法，NWTF提供了世界级能力的互连设施，向所有英国研究人员开放。通过这种方式，NWTF提供了一种统一的方法，这种方法大于其单个设施的总和，为行业提供了一个单一的联系点，为拉动环境推动了创新管道。NWTF是一个中心和节点组织，拥有12所大学（节点）的23个风洞，以及代表该集团协调计划的集中项目经理（中心）。它有一个管理委员会，由每个机构的一名成员沿着项目经理组成。它每季度举行一次会议，接受跨学科国际咨询委员会的投入，该委员会每半年举行一次会议。AB主要由来自工业界的实验空气动力学家以及学术界的同事组成，包括那些对数值预测感兴趣的人。自2014年以来，NWTF已经发展成为一个社区，最近通过八个社区范围内的一系列主题的小组;参与是向所有人开放。来自英国、美国、欧洲、澳大利亚和日本的40多名学术界和工业界人士参加了这些在线会议，展示了NWTF在国际上领先的潜力。这种领导作用突出了针对风洞的网络活动的必要性，这些活动涵盖相关主题，包括远程访问;多用途和未来风洞; CFD实验数据库的开发;新的新型仪器;培训研讨会;研究人员流动性和风洞管理人员的最佳实践共享。另一个分组侧重于联合研究项目，通常与一个关键行业，但侧重于竞争前的科学。目前的分小组与波音公司，QinetiQ，空中客车公司，DSTL，BAE，JLR和ARUP的参与。该提案的一个关键方面是传播高质量的实验数据，这些数据的创建既昂贵又耗时。他们的可用性将被公布，数据将被管理，以便他们可以很容易地访问，并可以被其他利益相关者在一系列跨学科应用领域利用。该网络将建立在UKRI政策的基础上，使研究数据开放获取。它将确保在整个社区交流最佳做法，以一致的方式定义元数据、数据格式，并通过长期可持续性保持相关性。高质量数据的可用性对于利用人工智能和机器学习等新技术开发用于预测和控制的空气动力学模型至关重要。在世界范围内，没有其他类似的风洞数据传播活动。

NWTF (http://www.nwtf.ac.uk/) is a UK leader and, over the next five years, will become a global leader in delivering cutting-edge science across a networked range of unique facilities in experimental fluid mechanics addressing the grand challenges of clean growth and the future of mobility across aerospace, automotive and civil engineering sectors. Through efficient and nimble organisation, it will provide strategic, coordinated oversight with an industrially aligned approach in the generation of new, net-zero technologies and knowledge in the efficiency of fluid-based systems, H2 and electric/hybrid transport, fluid-structure interaction, heating, noise, contaminant dispersion, particle transmission (Covid-19) and human factors, wind loading, coastal erosion and offshore renewables. NWTF continues to provide cutting-edge research, with its capacity measured by outputs and will augment this 'delta' in terms of new science, research capacity and pace. It enables the development of new skills in original, challenging, highly relevant experiments, the provision of new data and the establishment of "digital threads" for AI, modelling and the rapid adoption of innovative techniques such as remote access and robotics. With an inclusive approach, NWTF provides interconnected facilities of world-class capability that are open to all UK-based researchers. In this way, NWTF provides a unified approach that is greater than the sum of its individual facilities, offering a single point of contact for industry, driving an innovation pipeline for a pull-through environment. The NWTF is a hub and node organisation with 23 wind tunnels across 12 universities (nodes) and a centralised Project Manager (hub) who coordinates initiatives on behalf of the group. It has a Management Board (MB) comprising one member from each institution along with the Project Manager. It meets quarterly receiving inputs from a cross-disciplinary, international Advisory Board (AB) which meets bi-annually. The AB consists mostly of experimental aerodynamicists from industry as well as academic colleagues, including those with interests in numerical prediction. Since 2014, NWTF has grown a community, most recently through eight community-wide subgroups on a range of topics; participation is open to all. These online meetings are attended by over 40 academic and industrial participants from the UK, US, Europe, Australia and Japan, demonstrating the potential for NWTF to take the lead internationally. This leadership role has highlighted the need for network events specific to wind tunnels that capture relevant topics, including remote access; multi-purpose and future wind tunnels; development of an experimental database for CFD; new, novel instrumentation; training workshops; researcher mobility and shared best practice for tunnel managers. A further subgroup focuses on joint research projects usually with one key industry but focusing on pre-competitive science. Current subgroups operate with Boeing, QinetiQ, Airbus, DSTL, BAE, JLR and ARUP participation.A key aspect of this proposal is the dissemination of high quality experimental data which are expensive and time-consuming to create. Their availability will be publicised and the data curated so that they are easily accessible and can be exploited by other stakeholders in a range of inter-disciplinary application areas. The network will build upon UKRI policies in making research data open access. It will ensure that best practice is exchanged across the community, with consistent ways of defining meta-data, data formats and maintaining relevance through long-term sustainability. The availability of high-quality data is crucial for the exploitation of new technologies such as AI and machine learning for development of aerodynamic models used in both prediction and control. World-wide, there are no other comparable wind-tunnel data dissemination activities.