EAGER: Development of a Heterogeneous Multiscale Model as Scale-Bridging Method for Chemically Reacting Systems
EAGER:开发异质多尺度模型作为化学反应系统的尺度桥接方法
基本信息
- 批准号:1347565
- 负责人:
- 金额:$ 5.99万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2013
- 资助国家:美国
- 起止时间:2013-03-01 至 2014-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
1139338IhmeWith the rapidly growing energy demand and environmental concerns, the utilization of advanced combustion technologies and alternative fuels is gaining increasing attention. However, associated with these emerging energy-conversion strategies is an increasing need for accurate and reliable information about reaction rates, transport properties, and other constitutive relations that are required for the system characterization on a macroscopic level. Since our current knowledge about these constitutive relations and rate coefficients primarily relies on experiments, a critical need exists to complement these studies with computational investigations that extend current modeling efforts and are able to fully account for the coupling between processes occurring on macroscopic and atomistic scales.The objective of this exploratory research program is the development of a heterogeneous multiscale method (HMM) for chemically reacting systems. In this HMM-formulation, the macroscopic model is described by the conservation equations for mass, momentum, energy, and species, and incomplete or unreliable data for constitutive relations, reaction rates, and other macroscopic quantities are evaluated from a detailed atomistic model. To demonstrate the potential of this approach, a canonical combustion problem is considered. To facilitate the successful application of HMM, fundamental scientific issues associated with the rigorous definition of scale-bridging operators for micro-macro coupling and the necessary reduction of the HMM model complexity will be systematically addressed in this research. If successful, the proposed exploratory research program enables the holistic investigation of complex combustion systems, and eliminates dependencies on incomplete and unreliable information about constitutive relations. Algorithmic developments addressing the reduction of the computational model complexity will be critical to enable the HMM application to complex combustion problems. More broadly, this research on the HMM model is general and can be applied to a wide range of industrial problems, including catalytic processes, combustion in fluidized beds, surface oxidation, and other problems for which information about detailed chemical mechanisms and other constitutive relations are not available.The broader impact of this research arises from the improved understanding about chemical kinetics and combustion processes, which will complement experimental investigations. The research program closely integrates education and outreach activities. Specifically, courses on combustion and propulsion will be complemented by lectures on alternative energy systems. In addition, research activities for undergraduate students will be organized during the academic year and the summer. In these research activities, students will work on topics related to sustainable energy generation and address fundamental aspects on basic thermodynamics and combustion physics.
1139338Ihme随着能源需求和环境问题的快速增长,先进燃烧技术和替代燃料的利用越来越受到关注。然而,与这些新兴的能量转换策略相关的是,越来越需要有关反应速率、传输特性以及宏观层面上系统表征所需的其他本构关系的准确可靠的信息。由于我们目前对这些本构关系和速率系数的了解主要依赖于实验,因此迫切需要通过计算研究来补充这些研究,从而扩展当前的建模工作,并能够充分解释宏观和原子尺度上发生的过程之间的耦合。该探索性研究计划的目标是开发用于化学反应系统的异质多尺度方法(HMM)。在此 HMM 公式中,宏观模型由质量、动量、能量和物质的守恒方程描述,并且根据详细的原子模型评估本构关系、反应速率和其他宏观量的不完整或不可靠的数据。为了证明这种方法的潜力,考虑了规范燃烧问题。为了促进 HMM 的成功应用,本研究将系统地解决与微宏观耦合的尺度桥接算子的严格定义以及必要的 HMM 模型复杂性降低相关的基本科学问题。如果成功,拟议的探索性研究计划将能够对复杂的燃烧系统进行整体研究,并消除对有关本构关系的不完整和不可靠信息的依赖。解决计算模型复杂性降低问题的算法开发对于使 HMM 应用于复杂的燃烧问题至关重要。更广泛地说,这项关于 HMM 模型的研究是通用的,可以应用于广泛的工业问题,包括催化过程、流化床燃烧、表面氧化以及其他需要详细化学机制和其他本构关系信息的问题。这项研究的更广泛影响源于对化学动力学和燃烧过程的进一步了解,这将补充实验研究。该研究计划将教育和推广活动紧密结合起来。具体来说,燃烧和推进课程将辅以替代能源系统讲座。此外,学年和暑假期间还将组织本科生研究活动。在这些研究活动中,学生将研究与可持续能源发电相关的主题,并解决基础热力学和燃烧物理学的基本问题。
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 }}
Matthias Ihme其他文献
Integrated experimental and computational analysis of porous media combustion by combining gas-phase synchrotron μCT, IR-imaging, and pore-resolved simulations
通过结合气相同步加速器 μCT、红外成像和孔隙分辨模拟,对多孔介质燃烧进行综合实验和计算分析
- DOI:
10.1016/j.combustflame.2023.113132 - 发表时间:
2024 - 期刊:
- 影响因子:4.4
- 作者:
Emeric Boigné;T. Zirwes;Dilworth Y. Parkinson;Guillaume Vignat;Priyanka Muhunthan;Harold S. Barnard;A. MacDowell;Matthias Ihme - 通讯作者:
Matthias Ihme
Analysis of weak secondary waves in a rotating detonation engine using large-eddy simulation and wavenumber-domain filtering
使用大涡模拟和波数域滤波分析旋转爆震发动机中的弱次级波
- DOI:
10.1016/j.combustflame.2024.113387 - 发表时间:
2024 - 期刊:
- 影响因子:4.4
- 作者:
Guillaume Vignat;D. Brouzet;M. Bonanni;Matthias Ihme - 通讯作者:
Matthias Ihme
A Spectral Element Enrichment Wall-Model
光谱元素富集墙模型
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Steven R. Brill;Pinaki Pal;Muhsin Ameen;Chao Xu;Matthias Ihme - 通讯作者:
Matthias Ihme
Autonomous screening of complex phase spaces using Bayesian optimization for SAXS measurements
使用 SAXS 测量的贝叶斯优化自主筛选复杂相空间
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Khaled Younes;Michael Poli;Priyanka Muhunthan;Ivan Rajkovic;Stefano Ermon;Thomas M Weiss;Matthias Ihme - 通讯作者:
Matthias Ihme
FireBench: A High-fidelity Ensemble Simulation Framework for Exploring Wildfire Behavior and Data-driven Modeling
FireBench:用于探索野火行为和数据驱动建模的高保真集成仿真框架
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Qing Wang;Matthias Ihme;Cenk Gazen;Yi;John Anderson - 通讯作者:
John Anderson
Matthias Ihme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('Matthias Ihme', 18)}}的其他基金
Conference: Western States Section of the Combustion Institute Spring Meeting 2022
会议:燃烧研究所西部各州分会 2022 年春季会议
- 批准号:
2210261 - 财政年份:2022
- 资助金额:
$ 5.99万 - 项目类别:
Standard Grant
OAC Core: Small: Enabling High-fidelity Turbulent Reacting-Flow Simulations through Advanced Algorithms, Code Acceleration, and High-order Methods for Extreme-scale Computing
OAC 核心:小型:通过高级算法、代码加速和超大规模计算的高阶方法实现高保真湍流反应流模拟
- 批准号:
1909379 - 财政年份:2019
- 资助金额:
$ 5.99万 - 项目类别:
Standard Grant
Fundamental Physical Understanding of Matrix-stabilized Combustion in Porous Media
多孔介质中基体稳定燃烧的基本物理理解
- 批准号:
1800906 - 财政年份:2018
- 资助金额:
$ 5.99万 - 项目类别:
Standard Grant
CAREER: Fundamental Analysis and Computational Modeling of Acoustic Radiation in Turbulent Reacting Flows
职业:湍流反应流中声辐射的基础分析和计算模型
- 批准号:
1347566 - 财政年份:2013
- 资助金额:
$ 5.99万 - 项目类别:
Standard Grant
NSF/DOE Advanced Combustion Engines: Development of a Dynamic Wall Layer Model for LES of Internal Combustion Engines
NSF/DOE 先进内燃机:内燃机 LES 动态壁层模型的开发
- 批准号:
1258609 - 财政年份:2013
- 资助金额:
$ 5.99万 - 项目类别:
Continuing Grant
EAGER: Development of a Heterogeneous Multiscale Model as Scale-Bridging Method for Chemically Reacting Systems
EAGER:开发异质多尺度模型作为化学反应系统的尺度桥接方法
- 批准号:
1139338 - 财政年份:2011
- 资助金额:
$ 5.99万 - 项目类别:
Standard Grant
CAREER: Fundamental Analysis and Computational Modeling of Acoustic Radiation in Turbulent Reacting Flows
职业:湍流反应流中声辐射的基础分析和计算模型
- 批准号:
0844587 - 财政年份:2009
- 资助金额:
$ 5.99万 - 项目类别:
Standard Grant
相似国自然基金
房地产税与经济高质量发展:基于异质性家庭与内生土地供给视角的研究
- 批准号:72373006
- 批准年份:2023
- 资助金额:40 万元
- 项目类别:面上项目
儿童青少年创造力的异质性发展:一项“基因-环境-脑-行为”框架下的追踪研究
- 批准号:
- 批准年份:2022
- 资助金额:54 万元
- 项目类别:面上项目
基于企业规模异质性的中国区域贸易发展与碳减排协同路径研究
- 批准号:
- 批准年份:2022
- 资助金额:30 万元
- 项目类别:青年科学基金项目
农业绿色发展背景下异质性经营主体有机肥替代化肥行为机制及政府干预研究
- 批准号:
- 批准年份:2020
- 资助金额:48 万元
- 项目类别:面上项目
小胶质细胞在青少期创伤后不同情绪障碍发展风险中的异质性作用及其神经可塑性机制
- 批准号:82071517
- 批准年份:2020
- 资助金额:55 万元
- 项目类别:面上项目
相似海外基金
GOALI: Frameworks: At-Scale Heterogeneous Data based Adaptive Development Platform for Machine-Learning Models for Material and Chemical Discovery
GOALI:框架:基于大规模异构数据的自适应开发平台,用于材料和化学发现的机器学习模型
- 批准号:
2311632 - 财政年份:2023
- 资助金额:
$ 5.99万 - 项目类别:
Standard Grant
Role of RNA helicase Ddx5 in pathological cardiac remodeling
RNA解旋酶Ddx5在病理性心脏重塑中的作用
- 批准号:
10718560 - 财政年份:2023
- 资助金额:
$ 5.99万 - 项目类别:
Collaborative Research: RUI: Instrument Development: Ångström-Scale Operando Spectroscopic Imaging at Heterogeneous Electrochemical Interfaces
合作研究:RUI:仪器开发:异质电化学界面的埃级操作光谱成像
- 批准号:
2304955 - 财政年份:2023
- 资助金额:
$ 5.99万 - 项目类别:
Standard Grant
Heterogeneous Directed Hydrogenation of Arenes and Olefins with Chemo- and Stereoselectivity
具有化学和立体选择性的芳烃和烯烃的非均相定向氢化
- 批准号:
10713673 - 财政年份:2023
- 资助金额:
$ 5.99万 - 项目类别:
AI-Powered Uncovering of Mechanisms in Cancer Through Causal Discovery Analysis and Generative Modeling of Heterogeneous Data
人工智能通过因果发现分析和异构数据生成模型揭示癌症机制
- 批准号:
10581180 - 财政年份:2023
- 资助金额:
$ 5.99万 - 项目类别: