FAME: Future of Advanced Metrology for Environmental fluid dynamics

FAME：环境流体动力学先进计量的未来

• 批准号: NE/V017160/1
• 负责人: Robert Dorrell
• 金额: $ 90.98万
• 依托单位: University of Hull
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FV017160%2F1
• 关键词: FAME; Future; Advanced; Metrology; Environmental

Natural flows shape our environment. Virtually every part of the planet can be put in the context, or at the interface, of transdisciplinary processes shaped by fluid dynamics, from: mantle convection, driving tectonic plate movement and geohazards; energy sources driving ocean currents and mixing, controlling marine life; the dispersal of water, nutrients and pollutants through terrestrial systems, critical to life on land; to the risks from extreme weather, in a changing climate. Although, numerical models exist that capture many aspects of these flows, they are fundamentally limited by the complexity, and critically, the range of scales present in the natural environment. Thus, lack of understanding of the natural world often stems from lack of empirical data of environmental flows. Empirical data are key to motivate new understanding of fluid dynamics and thus the natural environment. Data are often derived from controlled experiments, studying fundamental processes. Yet, to deliver impact, these processes need to be placed in real-world context. Three-dimensional, and temporal, data are key to understand complex flows inherent to nature. Yet whilst common in numerical models, such data are rare in current empirical research. Our capability to quantify the dynamics of environmental flows is in many respects more limited than numerical models.Only now has recent advances in technology placed the ability to address long-standing limitations of empirical data of environmental flows within our grasp. The Future of Advanced Metrology for Environmental fluid dynamics (FAME) project makes a world-leading contribution to research capability, by: 1) advancing globally unique capacity to collect complete empirical datasets of environmental flows; 2) scaling experimental fluid dynamics to the real-world. Synergistic integration of a suite of novel equipment, based on novel volumetric flow measurement, addresses these goals and supports step-change advances across natural environmental science.Leading experts at Hull, extensively supported by academia and industry, will integrate the suite of new equipment, including: Advanced optical flow measurement equipment that can disentangle the dynamics of the different fluid, particulate and chemical components that comprise natural flows; Submersible optical measurement equipment that translates capability to resolve flows, previously only available in laboratory conditions, to real-world scales; and Acoustic imaging of naturally cloudy environmental flows, where optical techniques cannot be used. Through integration of this suite of equipment, FAME affords globally unique capability to resolve flows across a range of environments and scales, providing new data needed for research into key societal challenges. By enabling access to both equipment, and critically the unique datasets that will be generated, FAME will motivate the next generation of community research into the natural environment.

自然流动塑造了我们的环境。地球上几乎每一个部分都可以放在流体动力学塑造的跨学科过程的背景下或界面上，从地幔对流驱动构造板块运动和地质灾害；驱动洋流的能源以及混合和控制海洋生物；水、营养物质和污染物通过陆地系统扩散，对陆地上的生命至关重要；以及在不断变化的气候中极端天气带来的风险。尽管存在捕捉这些流动的许多方面的数值模型，但它们从根本上受到自然环境中存在的复杂且关键的尺度范围的限制。因此，缺乏对自然界的了解往往源于缺乏环境流动的经验数据。经验数据是激发对流体动力学和自然环境的新理解的关键。数据通常来自研究基本过程的受控实验。然而，为了产生影响，这些进程需要放在现实世界的背景下。三维和时态数据是理解自然界固有的复杂流动的关键。然而，尽管这类数据在数值模型中很常见，但在当前的实证研究中却很少见。我们量化环境流动动态的能力在许多方面比数字模型更有限。直到最近的技术进步，才有能力解决长期存在的环境流动经验数据的局限性。用于环境流体动力学的未来先进计量(FAME)项目在研究能力方面做出了世界领先的贡献，包括：1)提高全球独特的收集环境流动的完整经验数据集的能力；2)将实验流体动力学扩展到真实世界。赫尔的领先专家在学术界和工业界的广泛支持下，将整合一套新设备，包括：先进的光学流量测量设备，可以解开组成自然流动的不同流体、颗粒和化学成分的动态；潜水光学测量设备，将以前只能在实验室条件下获得的流动解析能力转化为真实世界的规模；以及无法使用光学技术的自然多云环境流动的声波成像。通过集成这套设备，FAME为全球提供了独特的能力，以解决各种环境和规模的流动问题，为研究关键的社会挑战提供了所需的新数据。通过允许访问这两种设备，以及关键的是将产生的独特数据集，FAME将激励下一代社区对自然环境的研究。

项目成果

Hydrodynamic studies of floating structures: Comparison of wave-structure interaction modelling

漂浮结构的水动力研究：波浪-结构相互作用模型的比较

• DOI: 10.1016/j.oceaneng.2022.110878
• 发表时间: 2022
• 期刊: Ocean Engineering
• 影响因子: 5
• 作者: Sheng W

Time-Domain Implementation and Analyses of Multi-Motion Modes of Floating Structures

浮动结构多运动模式的时域实现与分析

• DOI: 10.3390/jmse10050662
• 发表时间: 2022
• 期刊: Journal of Marine Science and Engineering
• 影响因子: 2.9
• 作者: Sheng W