Collaborative Research: Linking turbulent flow dynamics to meandering river migration
合作研究:将湍流动力学与蜿蜒河流迁移联系起来
基本信息
- 批准号:1823121
- 负责人:
- 金额:$ 24.01万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-09-01 至 2022-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Rivers are central conduits for life in the US. They are thoroughfares for shipping, focal points for infrastructure and manufacturing, and oases for recreation and wildlife. Rivers often migrate as a natural process, one which has far-reaching consequences: it poses hazards to bridges and other infrastructure; shifts flooding patterns; and over geologic time, shapes underground resources, including groundwater and hydrocarbons. This project advances the field of Earth-surface science by building new tools to forecast river migration and a new, related curriculum for college science classes. The project will further diversity in the sciences by supporting a team of women and men from the mountain west to the east coast, who together represent two state universities and one Tribal College.A foundation of the research is a new set of state-of-the-art mathematical simulations using higher-performance computing techniques. These simulations will capture interactions between water flow and sediment transport across an unprecedented range of river shapes. Model predictions will be tested and refined using experiments in a scale model of a meandering river, and by comparison to geologic data sets. The research findings will help geologists, engineers, and river scientists to mitigate river hazards, manage wildlife habitat, and identify natural resources spanning the changing landscapes of the nation.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.
河流是美国生命的核心渠道。它们是运输的通道,基础设施和制造业的重点,以及娱乐和野生动植物的绿洲。河流经常作为自然过程迁移,这会带来深远的后果:它对桥梁和其他基础设施构成危害;转移洪水模式;在地质时期,地下资源,包括地下水和碳氢化合物。该项目通过构建新工具来预测河流迁移,并为大学科学课程提供新的相关课程,从而推进了地面科学领域。该项目将通过支持从西部山区到东海岸的男女团队来进一步的多样性,他们共同代表了两所州立大学和一所部落学院。该研究的基础是使用高性能计算技术的一组新的最先进的数学模拟。这些模拟将捕获水流和沉积物在空前的河流形状范围之间的相互作用。模型预测将在蜿蜒的河流的比例模型中,并与地质数据集进行测试和完善。该研究发现将帮助地质学家,工程师和河流科学家减轻河流危害,管理野生动植物栖息地,并确定跨越国家不断变化的景观的自然资源。这项奖项反映了NSF的法定任务,并被认为是值得通过基金会的知识分子和更广泛影响的评估来通过评估来支持的。
项目成果
期刊论文数量(6)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Numerical Study on the Effect of Bank Vegetation on the Hydrodynamics of the American River under Flood Conditions
- DOI:10.1061/(asce)hy.1943-7900.0001912
- 发表时间:2021-09
- 期刊:
- 影响因子:2.4
- 作者:K. Flora;Christian Santoni;A. Khosronejad
- 通讯作者:K. Flora;Christian Santoni;A. Khosronejad
A computational study of expiratory particle transport and vortex dynamics during breathing with and without face masks
- DOI:10.1063/5.0054204
- 发表时间:2021-06-01
- 期刊:
- 影响因子:4.6
- 作者:Khosronejad, Ali;Kang, Seokkoo;Sotiropoulos, Fotis
- 通讯作者:Sotiropoulos, Fotis
Large-eddy simulation of flash flood propagation and sediment transport in a dry-bed desert stream
- DOI:10.1016/j.ijsrc.2020.02.002
- 发表时间:2020-12
- 期刊:
- 影响因子:3.6
- 作者:A. Khosronejad;K. Flora;Zexia Zhang;Seokkoo Kang
- 通讯作者:A. Khosronejad;K. Flora;Zexia Zhang;Seokkoo Kang
A comparative study of rigid-lid and level-set methods for LES of open-channel flows: morphodynamics
- DOI:10.1007/s10652-019-09703-y
- 发表时间:2019-07
- 期刊:
- 影响因子:2.2
- 作者:A. Khosronejad;M. Arabi;D. Angelidis;E. Bagherizadeh;K. Flora;A. Farhadzadeh
- 通讯作者:A. Khosronejad;M. Arabi;D. Angelidis;E. Bagherizadeh;K. Flora;A. Farhadzadeh
Water exit dynamics of jumping archer fish: Integrating two-phase flow large-eddy simulation with experimental measurements
- DOI:10.1063/1.5130886
- 发表时间:2020-01-01
- 期刊:
- 影响因子:4.6
- 作者:Khosronejad, Ali;Mendelson, Leah;Sotiropoulos, Fotis
- 通讯作者:Sotiropoulos, Fotis
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Ali Khosronejad其他文献
Wake interactions of two horizontal axis tidal turbines in tandem
- DOI:
10.1016/j.oceaneng.2022.111331 - 发表时间:
2022-06-15 - 期刊:
- 影响因子:
- 作者:
SeokKoo Kang;Youngkyu Kim;Jiyong Lee;Ali Khosronejad;Xiaolei Yang - 通讯作者:
Xiaolei Yang
Large eddy simulation of a utility-scale horizontal axis turbine with woody debris accumulation under live bed conditions
- DOI:
10.1016/j.renene.2024.122110 - 发表时间:
2025-02-01 - 期刊:
- 影响因子:
- 作者:
Mustafa Meriç Aksen;Hossein Seyedzadeh;Mehrshad Gholami Anjiraki;Jonathan Craig;Kevin Flora;Christian Santoni;Fotis Sotiropoulos;Ali Khosronejad - 通讯作者:
Ali Khosronejad
A deep-learning approach for 3D realization of mean wake flow of marine hydrokinetic turbine arrays
- DOI:
10.1016/j.egyr.2024.08.047 - 发表时间:
2024-12-01 - 期刊:
- 影响因子:
- 作者:
Zexia Zhang;Fotis Sotiropoulos;Ali Khosronejad - 通讯作者:
Ali Khosronejad
Ali Khosronejad的其他文献
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{{ truncateString('Ali Khosronejad', 18)}}的其他基金
Predicting flood-induced flow and sediment dynamics using data-driven physics-informed models
使用数据驱动的物理模型预测洪水引起的流量和沉积物动力学
- 批准号:
2233986 - 财政年份:2023
- 资助金额:
$ 24.01万 - 项目类别:
Standard Grant
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