CAREER: High fidelity numerical simulations of turbulent flow separation at high Reynolds numbers with passive scalar transport.

职业：采用被动标量传输的高雷诺数湍流分离的高保真度数值模拟。

基本信息

批准号：
1847241
负责人：
Guillermo Araya
金额：
$ 50万
依托单位：
University of Puerto Rico Mayaguez
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2019
资助国家：
美国
起止时间：
2019-03-15 至 2023-02-28
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1847241&HistoricalAwards=false
关键词：
CAREER fidelity numerical simulations turbulent

项目摘要

The proposed research will provide foundational knowledge on an issue in fluid dynamics that is not well understood: flow separation and its association with heat and contaminant transport. Flow separation occurs when fluid flow past an object (e.g., wing of an aircraft) abruptly "detaches" from the surface. A swirling motion, called wakes or vortices, is then formed in the separated region which result in increasing the fluid drag force on the object. Flow separation is unwanted and can seriously reduce performance of engineered devices such as aircraft and turbines. The use of high-resolution numerical simulations will permit the advancement of more efficient turbulence models. Such models will facilitate the development of flow, heat, and contaminant transport control tools to mitigate unwanted flow separation effects. The proposed research and educational objectives will be carried out at a Hispanic Serving Institution, located in the Commonwealth of Puerto Rico. The educational component of this project promotes the use of high-performance computing, computational thinking, and modeling. Such concepts will be introduced to undergraduate and graduate courses using flipped classroom concept. The post-processed data and resulting codes will be made accessible to the public for analysis and validation. Additionally, a computing and visualization facility will be developed as a tool for research, learning, and outreach in departmental Summer Camps for K-12 students and teachers. The principal aim of this study is to numerically elucidate the details behind passive scalar phenomena during boundary layer separation, resulting from the two most frequent causes of flow detachment: streamwise and wall-curvature driven pressure gradient, in combination and isolated forms. The study will cover nearly the entire spectrum, particularly in the near wall region, where experimental techniques and turbulence models exhibit severe limitations. By identifying and tracking Lagrangian Coherent Structures (LCS) and exploring the relationship between LCS kinematics and passive scalar fields, it may be possible to accurately explain the separation process. These research efforts will apply the use of tremendous computational resources, requiring state-of-the-art petascale, parallel and Graphics Processing Unit (GPU) programming. Specific objectives include i) perform Direct Numerical Simulation (DNS) of spatially-developing turbulent boundary layers under strong deceleration at experimental Reynolds numbers, ii) understand the transport phenomena in the separation process by means of low/high order statistics analysis and create an LCS data bank along with iOS/Android apps for augmented/virtual reality, iii) develop a unique data-driven modeling of sub-grid scale (SGS) in Large Eddy Simulation (LES), focusing on the uncharted area of passive scalar. This project is jointly funded by the Fluid Dynamics Program and the Established Program to Stimulate Competitive Research (EPSCoR).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.

拟议的研究将提供有关流体动力学问题的基本知识，而流体动力学尚不清楚：流动分离及其与热量和污染物运输的关联。当流体流过一个物体（例如飞机的机翼）突然从表面“分离”时，流动分离就会发生。然后在分离的区域中形成一种称为唤醒或涡旋的旋转运动，从而增加了物体上的流体阻力力。流动分离是不需要的，可以严重降低飞机和涡轮机等工程设备的性能。高分辨率数值模拟的使用将允许进步更有效的湍流模型。这样的模型将促进流动，热量和污染物运输控制工具的发展，以减轻不需要的流动分离效果。拟议的研究和教育目标将在位于波多黎各英联邦的西班牙裔服务机构进行。该项目的教育部分促进了高性能计算，计算思维和建模的使用。这些概念将使用翻转的课堂概念介绍本科和研究生课程。后处理的数据和结果代码将被公众访问，以进行分析和验证。此外，将开发计算和可视化设施作为K-12学生和教师部门夏令营的研究，学习和外展的工具。这项研究的主要目的是在边界层分离期间在数值上阐明被动标量现象背后的细节，这是由于流动脱离的两个最常见原因：流向和壁性曲面驱动的压力梯度，结合形式和孤立形式。该研究将涵盖几乎整个光谱，尤其是在近壁区域，在近壁区域，实验技术和湍流模型表现出严重的局限性。通过识别和跟踪拉格朗日相干结构（LCS）并探索LCS运动学和被动标量场之间的关系，可以准确解释分离过程。这些研究工作将应用巨大的计算资源，需要最先进的Petascale，并行和图形处理单元（GPU）编程。具体目标包括i）在实验性雷诺数的强减速下进行空间发展的湍流边界层进行直接数值模拟（DNS）在大型涡模拟（LES）中，重点是被动标量的未知区域。该项目由流体动力学计划和启发竞争性研究的既定计划共同资助（EPSCOR）。该奖项反映了NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响评估审查标准，认为值得通过评估来获得支持。

项目成果

期刊论文数量（36）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

A GPU-Accelerated Particle Advection Methodology for 3D Lagrangian Coherent Structures in High-Speed Turbulent Boundary Layers

DOI：
10.3390/en16124800
发表时间：
2023-06
期刊：
Energies
影响因子：
3.2
作者：
Christian Lagares;G. Araya
通讯作者：
Christian Lagares;G. Araya

Video: Turbulent Coherent Structures via VR/AR

视频：通过 VR/AR 实现湍流相干结构

DOI：
10.1103/aps.dfd.2020.gfm.v0045
发表时间：
2020
期刊：
73th APS-DFD November 2020 (Virtual
影响因子：
0
作者：
Paeres, David;Lagares, Christian;Santiago, Jean;Craig, Alan;Jansen, Kenneth;Araya, Guillermo
通讯作者：
Araya, Guillermo

Turbulence Modeling in Hypersonic Turbulent Boundary Layers Subject to Convex Wall Curvature

受凸壁曲率影响的高超声速湍流边界层的湍流建模