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ITR: Scalable Portable Algorithms for Thermal Radiation/Turbulence/Chemistry Interactions

ITR：用于热辐射/湍流/化学相互作用的可扩展便携式算法

基本信息

批准号：
0121573
负责人：
Michael Modest
金额：
$ 175万
依托单位：
Pennsylvania State Univ University Park
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2001
资助国家：
美国
起止时间：
2001-09-15 至 2007-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=0121573&HistoricalAwards=false
关键词：
ITR Scalable Portable Algorithms Thermal

项目摘要

In many important combustion applications, heat transfer is dominated by thermal radiation from combustion gases and soot. Thermal radiation from combustion gases, even in the absence of turbulence interactions, is extremely complicated; accurate and efficient predictions are only now becoming possible. The coupling between turbulence and radiation has to date essentially been ignored due to their extreme complexity, although preliminary calculations have shown that turbulence-radiation interactions (TRI) can more than double the radiative loss from a flame. Integration of finite volume and finite element methods, stochastic methods based on a probability density function (PDF), and ray tracing Monte Carlo schemes, exploiting the strengths of each method, can potentially produce a formidable computational tool to describe the highly nonlinear interaction between turbulence, chemical reactions and thermal radiation in turbulent flames over a broad range of conditions. An interdisciplinary team of Co-PI's, together with collaborators from industry and national laboratories, will address these issues using an innovative IT-based approach. The goal of this study is to develop modular, portable, scalable, parallel computational tools that address the interactions of all three phenomena.

在许多重要的燃烧应用中，热辐射主要来自燃烧气体和烟尘。燃烧气体的热辐射，即使在没有湍流相互作用的情况下，也是极其复杂的；准确和有效的预测现在才成为可能。到目前为止，湍流和辐射之间的耦合基本上被忽略了，因为它们非常复杂，尽管初步计算表明，湍流-辐射相互作用(TRI)可以使火焰的辐射损失增加一倍以上。结合有限体积方法和有限元方法、基于概率密度函数的随机方法(PDF)和光线跟踪蒙特卡罗方法，利用每种方法的优点，可能产生一种强大的计算工具来描述在广泛的条件下湍流火焰中的化学反应和热辐射之间的高度非线性相互作用。一个由Co-Pi组成的跨学科团队将与来自行业和国家实验室的合作者一起，使用创新的基于信息技术的方法来解决这些问题。这项研究的目标是开发模块化、可移植、可扩展的并行计算工具，以解决所有这三种现象的相互作用。