A New Model for Turbulence Based on the Hydrodynamics-Electromagnetism Analogy
基于流体动力学-电磁学类比的新湍流模型
基本信息
- 批准号:9619232
- 负责人:
- 金额:$ 6万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:1997
- 资助国家:美国
- 起止时间:1997-09-15 至 1999-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Abstract Proposal Number: CTS-9619232 Principal Investigator: Karniadakis This is a proposal to explore a different approach to turbulence modeling based on a new generalized analogy between hydrodynamic turbulence and electromagnetism. The new analogy originates from the Maxwell equations, which completely describe the electromagnetic fields in all cases and not simply the induction laws, which have been previously used to develop the classical analogy. The new correspondence is between vorticity and magnetic field, and Lamb vector and the electric field. Appropriately averaged, as in standard large-eddy simulation (LES) approaches, the new system leads to a linear set of equations, which reduces to a second-order wave equation for the locally averaged vorticity and Lamb vector fields. Because of the linearity of the system in these variables, the superposition principle can be used to construct solutions for complex-geometry flows using analytical/numerical solutions in simpler domains.
摘要建议编号:CTS-9619232首席研究员:卡尼亚达基斯这是一项基于流体动力湍流和电磁之间新的广义类比来探索湍流建模的不同方法的建议。新的类比起源于麦克斯韦方程,它完全描述了所有情况下的电磁场,而不是简单的感应定律,后者以前被用来发展经典类比。新的对应关系是涡度与磁场、兰姆矢量与电场之间的对应关系。与标准的大涡模拟(LES)方法一样,经过适当的平均,新系统得到了一组线性方程,对于局部平均的涡度和Lamb矢量场,它简化为一个二阶波动方程。由于系统在这些变量中的线性,叠加原理可用于在更简单的区域中使用解析/数值解来构造复杂几何流动的解。
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)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
George Karniadakis其他文献
Correction to: A computational mechanics special issue on: data-driven modeling and simulation—theory, methods, and applications
- DOI:
10.1007/s00466-019-01747-7 - 发表时间:
2019-06-28 - 期刊:
- 影响因子:3.800
- 作者:
Wing Kam Liu;George Karniadakis;Shaoqiang Tang;Julien Yvonnet - 通讯作者:
Julien Yvonnet
Physics-Informed Learning Machines for Partial Differential Equations: Gaussian Processes Versus Neural Networks
用于偏微分方程的物理学习机:高斯过程与神经网络
- DOI:
10.1007/978-3-030-44992-6_14 - 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Guofei Pang;George Karniadakis - 通讯作者:
George Karniadakis
En-DeepONet: An enrichment approach for enhancing the expressivity of neural operators with applications to seismology
- DOI:
10.1016/j.cma.2023.116681 - 发表时间:
2024-02-15 - 期刊:
- 影响因子:
- 作者:
Ehsan Haghighat;Umair bin Waheed;George Karniadakis - 通讯作者:
George Karniadakis
Simulating and visualizing the human arterial system on the TeraGrid
- DOI:
10.1016/j.future.2006.03.019 - 发表时间:
2006-10-01 - 期刊:
- 影响因子:
- 作者:
Suchuan Dong;Joseph Insley;Nicholas T. Karonis;Michael E. Papka;Justin Binns;George Karniadakis - 通讯作者:
George Karniadakis
CMINNs: Compartment model informed neural networks — Unlocking drug dynamics
- DOI:
10.1016/j.compbiomed.2024.109392 - 发表时间:
2025-01-01 - 期刊:
- 影响因子:
- 作者:
Nazanin Ahmadi Daryakenari;Shupeng Wang;George Karniadakis - 通讯作者:
George Karniadakis
George Karniadakis的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('George Karniadakis', 18)}}的其他基金
Collaborative Research: AMPS: Multi-Fidelity Modeling via Machine Learning for Real-time Prediction of Power System Behavior
合作研究:AMPS:通过机器学习进行多保真度建模,实时预测电力系统行为
- 批准号:
1736088 - 财政年份:2017
- 资助金额:
$ 6万 - 项目类别:
Continuing Grant
MANNA 2017: Modeling, Analysis, and Numerics for Nonlocal Applications
MANNA 2017:非局部应用的建模、分析和数值
- 批准号:
1747867 - 财政年份:2017
- 资助金额:
$ 6万 - 项目类别:
Standard Grant
New evolution equations of the joint response-excitation PDF for stochastic modeling: Theory and numerical methods
用于随机建模的联合响应激励 PDF 的新演化方程:理论和数值方法
- 批准号:
1216437 - 财政年份:2012
- 资助金额:
$ 6万 - 项目类别:
Continuing Grant
Collaborative Research: Scalable Multiscale Models for the Cerebrovasculature: Algorithms, Software and Petaflop Simulations
合作研究:可扩展的脑血管多尺度模型:算法、软件和千万亿次模拟
- 批准号:
0904288 - 财政年份:2009
- 资助金额:
$ 6万 - 项目类别:
Standard Grant
Multiscale Modeling of Flow over Functionalized Surfaces: Algorithms and Applications
功能化表面流动的多尺度建模:算法和应用
- 批准号:
0852948 - 财政年份:2009
- 资助金额:
$ 6万 - 项目类别:
Standard Grant
Overcoming the Bottlenecks in Polynomial Chaos: Algorithms and Applications to Systems Biology and Fluid Mechanics
克服多项式混沌的瓶颈:系统生物学和流体力学的算法和应用
- 批准号:
0915077 - 财政年份:2009
- 资助金额:
$ 6万 - 项目类别:
Standard Grant
Multiscale Models and Petaflops Simulations on the Human Brain Vascular Network
人脑血管网络的多尺度模型和千万亿次模拟
- 批准号:
0845449 - 财政年份:2008
- 资助金额:
$ 6万 - 项目类别:
Standard Grant
International Conference on Spectral and High-Order Methods 2009 - ICOSAHOM'09; June 2009, Trondheim, Norway
2009 年光谱和高阶方法国际会议 - ICOSAHOM09;
- 批准号:
0839866 - 财政年份:2008
- 资助金额:
$ 6万 - 项目类别:
Standard Grant
CI-TEAM Implementation Project: Collaborative Research: Training Simulation Scientists in Advanced Cyberinfrastructure Tools and Concepts
CI-TEAM 实施项目:协作研究:培训模拟科学家掌握先进的网络基础设施工具和概念
- 批准号:
0636336 - 财政年份:2006
- 资助金额:
$ 6万 - 项目类别:
Standard Grant
AMC-SS: A Multi-Element Generalized Polynomial Chaos Method for Modeling Uncertainty in Flow Simulations
AMC-SS:一种用于流体仿真中不确定性建模的多元素广义多项式混沌方法
- 批准号:
0510799 - 财政年份:2005
- 资助金额:
$ 6万 - 项目类别:
Standard Grant
相似国自然基金
基于术中实时影像的SAM(Segment anything model)开发AI指导房间隔穿刺位置决策的增强现实模型
- 批准号:
- 批准年份:2024
- 资助金额:0.0 万元
- 项目类别:省市级项目
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
- 批准号:
- 批准年份:2020
- 资助金额:40 万元
- 项目类别:
应用Agent-Based-Model研究围术期单剂量地塞米松对手术切口愈合的影响及机制
- 批准号:81771933
- 批准年份:2017
- 资助金额:50.0 万元
- 项目类别:面上项目
基于Multilevel Model的雷公藤多苷致育龄女性闭经预测模型研究
- 批准号:81503449
- 批准年份:2015
- 资助金额:18.0 万元
- 项目类别:青年科学基金项目
基于非齐性 Makov model 建立病证结合的绝经后骨质疏松症早期风险评估模型
- 批准号:30873339
- 批准年份:2008
- 资助金额:32.0 万元
- 项目类别:面上项目
相似海外基金
Supernovae simulation with self-consistent turbulence model incorporated: Dynamics of proto-neutron stars
结合自洽湍流模型的超新星模拟:原中子星动力学
- 批准号:
23H01199 - 财政年份:2023
- 资助金额:
$ 6万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
Generation mechanism of turbulence coherent structure by three-dimensional flow stability analysis applying nonlinear model
应用非线性模型进行三维流动稳定性分析的湍流相干结构生成机制
- 批准号:
19KK0373 - 财政年份:2022
- 资助金额:
$ 6万 - 项目类别:
Fund for the Promotion of Joint International Research (Fostering Joint International Research (A))
Collaborative Research: Droplet breakup in homogenous turbulence: model validation through experiments and direct numerical simulations
合作研究:均匀湍流中的液滴破碎:通过实验和直接数值模拟进行模型验证
- 批准号:
2201707 - 财政年份:2022
- 资助金额:
$ 6万 - 项目类别:
Standard Grant
Real-Time and Adaptive Chemical Kinetic Model Reduction Coupled with Turbulence
与湍流耦合的实时自适应化学动力学模型简化
- 批准号:
2042918 - 财政年份:2021
- 资助金额:
$ 6万 - 项目类别:
Standard Grant
Inference of the energy dissipation rate and construction of turbulence model by machine learning
通过机器学习推断能量耗散率并构建湍流模型
- 批准号:
20K20973 - 财政年份:2020
- 资助金额:
$ 6万 - 项目类别:
Grant-in-Aid for Challenging Research (Exploratory)
Implementation of k-w turbulence model using Chapel language
使用 Chapel 语言实现 k-w 湍流模型
- 批准号:
549997-2020 - 财政年份:2020
- 资助金额:
$ 6万 - 项目类别:
University Undergraduate Student Research Awards
Collaborative Research: Advancing Understanding of Aerosol-Cloud Feedback Using the World's First Global Climate Model with Explicit Boundary Layer Turbulence
合作研究:利用世界上第一个具有明确边界层湍流的全球气候模型增进对气溶胶云反馈的理解
- 批准号:
1912134 - 财政年份:2019
- 资助金额:
$ 6万 - 项目类别:
Standard Grant
A microscopic model of cosmic ray small-scale anisotropies from magnetic turbulence
磁湍流宇宙射线小尺度各向异性的微观模型
- 批准号:
426614101 - 财政年份:2019
- 资助金额:
$ 6万 - 项目类别:
Research Grants
Collaborative Research: Advancing Understanding of Aerosol-Cloud Feedback Using the World's First Global Climate Model with Explicit Boundary Layer Turbulence
合作研究:利用世界上第一个具有明确边界层湍流的全球气候模型增进对气溶胶云反馈的理解
- 批准号:
1912130 - 财政年份:2019
- 资助金额:
$ 6万 - 项目类别:
Standard Grant
Closure model in turbulence without tuning parameters
无需调整参数的湍流闭合模型
- 批准号:
18K03933 - 财政年份:2018
- 资助金额:
$ 6万 - 项目类别:
Grant-in-Aid for Scientific Research (C)