Development and Validation of an In-Situ Particle Tracking Velocimetry System for Ocean Turbulence Measurement
用于海洋湍流测量的原位粒子跟踪测速系统的开发和验证
基本信息
- 批准号:2219857
- 负责人:
- 金额:$ 48.94万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-08-01 至 2025-07-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Large-scale models of ocean flows require models of small-scale processes such as the turbulence that drive mixing. However, our understanding of such processes is highly uncertain, particularly in a density-stratified medium like the ocean. Attempting to measure the relevant turbulence quantities using existing oceanographic instrumentation requires making assumptions about these small-scale flows that may not always be valid. This project will bridge this gap by developing and validating a new optical instrument that is capable of measuring the complete small-scale details of turbulent ocean flows in relevant real-world settings. By adapting measurement tools developed for laboratory fluid flow studies for use in the field, this project will help to bring field measurement capabilities closer to what is possible with state-of-the-art laboratory diagnostics. Stirring of the density field by small-scale turbulent fluctuations is the fundamental process driving mixing in the ocean, and is thus a key element of ocean models. Quantities such as the dissipation rate are essential for parameterizing mixing, but cannot be measured without assumptions using traditional instruments. Theoretical investigations of stratified turbulence have also been limited by considerations of which quantities are measurable rather than which are most important. This project will address both of these gaps by developing and validating a 3D particle tracking velocimetry (PTV) system capable of making in-situ measurements of the full microscale structure of stratified turbulence in the ocean. Unlike previous submersible image-based measurement tools, this system will be capable of resolving all three components of the velocity field in a 3D volume rather than a plane, with sufficient resolution to measure all components of the instantaneous velocity gradient directly.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
海洋流动的大尺度模型需要小尺度过程的模型,例如驱动混合的湍流。然而,我们对这种过程的理解是高度不确定的,特别是在像海洋这样的密度分层介质中。试图使用现有的海洋学仪器测量相关的湍流量需要对这些小尺度流动做出假设,这些假设可能并不总是有效的。该项目将通过开发和验证一种新的光学仪器来弥合这一差距,该仪器能够在相关的现实世界环境中测量湍流海洋流动的完整小尺度细节。通过调整为现场使用的实验室流体流动研究开发的测量工具,该项目将有助于使现场测量能力更接近最先进的实验室诊断。 小尺度湍流波动对密度场的搅动是驱动海洋混合的基本过程,因此是海洋模型的关键要素。耗散率等参数对于混合的参数化是必不可少的,但不能在没有假设的情况下使用传统仪器进行测量。分层湍流的理论研究也受到限制,考虑哪些量是可测量的,而不是哪些是最重要的。该项目将通过开发和验证一个三维粒子跟踪测速(PTV)系统来解决这两个差距,该系统能够对海洋分层湍流的全微尺度结构进行原位测量。与以前的基于图像的水下测量工具不同,该系统将能够在3D体积而不是平面中解析速度场的所有三个分量,具有足够的分辨率来直接测量瞬时速度梯度的所有分量。该奖项反映了NSF的法定使命,并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Nicholas Ouellette其他文献
Nicholas Ouellette的其他文献
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{{ truncateString('Nicholas Ouellette', 18)}}的其他基金
Geometric Structure of the Turbulent Cascade
湍流级联的几何结构
- 批准号:
1706950 - 财政年份:2017
- 资助金额:
$ 48.94万 - 项目类别:
Standard Grant
Toward the Design and Control of Dynamical Transport Barriers in Nonlinear Flow
非线性流动中动力传输势垒的设计与控制
- 批准号:
1563489 - 财政年份:2016
- 资助金额:
$ 48.94万 - 项目类别:
Standard Grant
Bulk Turbulence in Polymer Solutions: Beyond Friction Drag Reduction
聚合物溶液中的整体湍流:超越摩擦减阻
- 批准号:
1600292 - 财政年份:2015
- 资助金额:
$ 48.94万 - 项目类别:
Standard Grant
Bulk Turbulence in Polymer Solutions: Beyond Friction Drag Reduction
聚合物溶液中的整体湍流:超越摩擦减阻
- 批准号:
1436423 - 财政年份:2014
- 资助金额:
$ 48.94万 - 项目类别:
Standard Grant
Linking Spatial and Spectral Transport in Two-Dimensional Fluid Flow
连接二维流体流动中的空间和光谱传输
- 批准号:
1206399 - 财政年份:2012
- 资助金额:
$ 48.94万 - 项目类别:
Standard Grant
Collaborative Research: Theories and Experiments on Scalar Mixing in Chaotic Flows
协作研究:混沌流中标量混合的理论与实验
- 批准号:
1211952 - 财政年份:2012
- 资助金额:
$ 48.94万 - 项目类别:
Standard Grant
Connecting Dynamical Structure and Statistical Analysis in Quasi-2D Fluid Flow
连接准二维流体流动中的动力结构和统计分析
- 批准号:
0906245 - 财政年份:2009
- 资助金额:
$ 48.94万 - 项目类别:
Standard Grant
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