Research Initiation Award: A Boltzmann Model for Multi-Scale and Multi-Physics/Chemistry Transport Phenomena in Porous Media
研究启动奖:多孔介质中多尺度和多物理/化学输运现象的玻尔兹曼模型
基本信息
- 批准号:2200515
- 负责人:
- 金额:$ 29.87万
- 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:2022-05-15 至 2025-04-30
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Research Initiation Awards provide support for junior and mid-career faculty at Historically Black Colleges and Universities (HBCUs) who are building new research programs or redirecting and rebuilding existing programs. It is expected that the award helps to further the faculty member's research capability and effectiveness, improves research and teaching at the home institution, and involves undergraduate students in research experiences. The award to Tennessee State University (TSU) facilitates the development of a revolutionary simulation model for some of the most challenging fluid transport problems that are ubiquitous in many scientific and engineering fields, and, therefore, has tremendous potential impacts on technology, the environment, health, and economy. This project is also dedicated to the involvement of undergraduate students in the research in Science, Technology, Engineering, and Mathematics (STEM) fields with a unique mentoring plan. In addition, this project promotes the education on scientific computing for undergraduate students at TSU and other HBCUs by merging math, coding, and engineering, in order to improve their math and coding literacy which is essential for them to pursue a STEM career.This project focuses on a challenging research problem, which is a special type of fluid transport phenomena, characterized by three unique features: multi-scale, porous media, and multi-physics/multi-chemistry. A representative problem is the transport of electrolytes in the porous electrodes of redox flow batteries, which is utilized as a case study to benchmark the developed simulation model as well as to demonstrate its potential. The goal of this project is to develop a specialized simulation model with the high-performance computing capability based on a new methodology that solves the Boltzmann equation with the finite volume method, which allows a convenient adoption of fully unstructured grids to precisely reconstruct the complex three-dimensional boundaries rendered by porous media. The novelty of this project is that it provides a specifically tailored simulation model that demonstrates a superiority in computational performance (defined as accuracy normalized by associated computational cost) over existing methodologies for the multi-scale and multi-physics/multi-chemistry fluid transport phenomena in porous media. This new model can accelerate the understanding of the selected research problem. With further development, it can become a general simulation tool for the modeling of any transport phenomenon beyond fluid transport.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.
研究启动奖为历史悠久的黑人学院(HBCU)的初级和中级教师提供了支持,他们正在构建新的研究计划,或重定向和重建现有计划。预计该奖项有助于进一步促进教职员工的研究能力和有效性,改善家庭机构的研究和教学,并让本科生参与研究经验。田纳西州立大学(TSU)的奖项促进了一些在许多科学和工程领域无处不在的最具挑战性的流体运输问题的革命模拟模型的发展,因此,对技术,环境,健康和经济产生了巨大的潜在影响。该项目还致力于本科生参与具有独特的指导计划的科学,技术,工程和数学(STEM)领域。此外,该项目通过合并数学,编码和工程学来促进TSU和其他HBCU的科学计算教育,以提高其数学和编码素养,这对于他们从事STEM职业至关重要。从事STEM职业至关重要。这项项目的重点是挑战性的研究问题,这是一个具有挑战性的研究问题,这是由三个独特的媒体和三种独特的特征,以及三种特征:多方面的特征:多物理/多化学。一个代表性的问题是氧化还原流量电池多孔电极中电解质的运输,该电池被用作案例研究,以基准开发的仿真模型以及证明其潜力。该项目的目的是使用有限体积方法来求解玻尔兹曼方程的新方法,以高性能计算能力开发专门的仿真模型,该方法可以方便地采用完全非结构化的网格,以精确地重建堆积的复杂的三维边界。该项目的新颖性是,它提供了一个特殊量身定制的仿真模型,该模型表明了计算性能的优势(定义为通过相关的计算成本归一化),而不是现有方法,用于多孔介质中的多尺度和多物理/多化学/多化学流体传输现象。这个新模型可以加速对所选研究问题的理解。随着进一步的发展,它可以成为对除流体运输以外的任何运输现象进行建模的一般模拟工具。该奖项反映了NSF的法定任务,并被认为是值得通过基金会的知识分子优点和更广泛的影响评估标准来通过评估来支持的。
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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Leitao Chen其他文献
Enzymatic production of 5′-inosinic acid by AMP deaminase from a newly isolated <em>Aspergillus oryzae</em>
- DOI:
10.1016/j.foodchem.2016.07.171 - 发表时间:
2017-02-01 - 期刊:
- 影响因子:
- 作者:
Shubo Li;Leitao Chen;Yangjun Hu;Guohui Fang;Mouming Zhao;Yuan Guo;Zongwen Pang - 通讯作者:
Zongwen Pang
Finite volume discrete Boltzmann method on a cell-centered triangular unstructured mesh
- DOI:
- 发表时间:
2016-09 - 期刊:
- 影响因子:0
- 作者:
Leitao Chen - 通讯作者:
Leitao Chen
Semi-Lagrangian implicit Bhatnagar-Gross-Krook collision model for the finite-volume discrete Boltzmann method.
有限体积离散玻尔兹曼方法的半拉格朗日隐式 Bhatnagar-Gross-Krook 碰撞模型。
- DOI:
- 发表时间:
2019 - 期刊:
- 影响因子:2.4
- 作者:
Leitao Chen;S. Succi;Xiaofeng Cai;L. Schaefer - 通讯作者:
L. Schaefer
Leitao Chen的其他文献
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{{ truncateString('Leitao Chen', 18)}}的其他基金
Collaborative Research: Multiscale study of oscillating flow and multiphase heat transfer in porous media
合作研究:多孔介质中振荡流和多相传热的多尺度研究
- 批准号:
2414527 - 财政年份:2024
- 资助金额:
$ 29.87万 - 项目类别:
Standard Grant
Collaborative Research: Multiscale study of oscillating flow and multiphase heat transfer in porous media
合作研究:多孔介质中振荡流和多相传热的多尺度研究
- 批准号:
2223171 - 财政年份:2022
- 资助金额:
$ 29.87万 - 项目类别:
Standard Grant
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