CAREER: High Fidelity Numerical Modeling and Simulation of Fire Suppression

职业：高保真灭火数值建模和模拟

• 批准号: 0348110
• 负责人: Paul DesJardin
• 金额: $ 40.61万
• 依托单位: SUNY at Buffalo
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-02-01 至 2010-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0348110&HistoricalAwards=false
• 关键词: CAREER; Fidelity; Numerical; Modeling; Simulation

Abstract - DesJardin, 0348110The technical objective of this research is to develop an advanced modeling and simulation framework for predicting the suppression of large-scale fires using water mists and sprays. The modeling is based on Large Eddy Simulation (LES) techniques using probabilistic based sub-grid scale (SGS) models to account for multiphase coupling of buoyancy-driven turbulence, combustion, suppression thermochemistry, droplet transport, and thermal radiation heat transfer. Specifically, this effort is focused on: (1) improved SGS turbulence models for buoyancy-driven flows, (2) new SGS stochastic process descriptions to account for turbulence-chemistry-radiation-particle interactions, and (3) radiation heat transfer in turbulent multiphase flows. The implementation of these models also includes development of advanced numerical algorithms for efficient implementation of Monte Carlo solution procedures implemented on massively parallel computers and development of gridless radiation methodologies for participating anisotropic scattering media. This combined set of new models and algorithms should result in a significant improvements in fire-suppression field modeling as well as advance the quantitative treatment of other applications in which multiphase combustion and radiation processes are important.The significance of this effort is to offer scientific insight on suppressing large-scale fires that have recently caught the attention of our nation, ranging from the destruction of the twin towers in New York City to the wild fires that have raged through the southwest. One of the challenges in controlling these fires is predicting the performance of the water-delivery system, which depends on the understanding of dynamics of flame suppression processes in highly turbulent, strongly radiating, multiphase, reacting flows. One of the goals of this research is to provide a high fidelity predictive tool to simulate these processes. Such a tool will allow fire-protection engineers to design better fire-suppression systems to insure fire safety for our nations' critical infrastructures.

摘要- DesJardin，0348110本研究的技术目标是开发一种先进的建模和仿真框架，用于预测使用水雾和喷雾抑制大规模火灾。 该建模是基于大涡模拟（LES）技术，使用基于概率的亚网格尺度（SGS）模型来考虑浮力驱动的湍流，燃烧，抑制热化学，液滴运输和热辐射传热的多相耦合。 具体来说，这项工作的重点是：（1）改进SGS湍流模型浮力驱动的流动，（2）新的SGS随机过程描述，以考虑的顺磁化学辐射粒子的相互作用，和（3）辐射传热湍流多相流。 这些模型的实现还包括开发先进的数值算法，用于在大规模并行计算机上实现的Monte Carlo求解程序的有效实施，以及开发用于参与各向异性散射介质的无网格辐射方法。 这套新的模型和算法的组合将导致灭火场建模的显着改进，以及推进其他应用中的多相燃烧和辐射过程的定量处理是重要的。这一努力的意义是提供科学的见解，抑制大规模火灾，最近引起了我们国家的关注，从摧毁纽约市的双子塔到肆虐西南部的野火。 控制这些火灾的挑战之一是预测的水输送系统，这取决于在高度湍流，强辐射，多相，反应流的火焰抑制过程的动力学的理解的性能。本研究的目标之一是提供一个高保真的预测工具来模拟这些过程。 这样的工具将使消防工程师能够设计更好的灭火系统，以确保我们国家关键基础设施的消防安全。