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Simulation of Combustion of C/B Clouds in Explosions

机译:爆炸中C / B云燃烧的模拟

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We have developed adaptive high-resolution methods for numerical simulations of turbulent combustion of chemical/biological (C/B) clouds in thermobaric explosions. The code is based on our AMR (Adaptive Mesh Refinement) technology that was used successfully to simulate distributed energy release in explosions, such as: afterburning in TNT explosions and turbulent combustion of Shock-Dispersed Fuel (SDF) charges in confined explosions. Versions of the methodology specialized for low-Mach number flows have also been developed and extensively validated on a number of laboratory scale laminar and turbulent flames configurations. In our formulation, we model the gas phase by the multi-component form of the reacting gas-dynamics equations, while the particle-phase is modeled by continuum mechanics laws for 2-phase reacting flows, as formulated by Nigmatulin. Mass, momentum, and energy interchange between phases are taken into account using Khasainov's model. Both the gas and particle phase conservation laws are integrated with their own second-order Godunov algorithms that incorporate the non-linear wave structure associated with such hyperbolic systems. Specialized ordinary differential equation (ODE) methods are used to integrate chemical kinetics and interphase terms. Adaptive grid methods are used to capture the energy-bearing scales of the turbulent flow (the MILES approach of J. Boris) without resorting to traditional turbulence models. The code is built on an AMR framework that manages the grid hierarchy. Our work-based load-balancing algorithm is designed to run efficiently on massively-parallel computers. Gas-phase combustion in the explosion products (EP) cloud is modeled in the fast-chemistry limit, while Aluminum particle combustion in the EP cloud is based on the finite-rate empirical burning law of Ingignoli. The thermodynamic properties of the components are specified by the Cheetah code. At the 19th HPCUG meeting in 2009, we summarized recent progress in:-- "AMR Code Simulations of Turbulent Combustion in Confined and Unconfined SDF Explosions". These models were used successfully to simulate the simultaneous after-burning of booster products and combustion of Aluminum (Al) in SDF explosion clouds. Computed pressure histories were shown to be in excellent agreement with the data -- thereby proving the validity of our combustion modeling of such explosions. This year, the modeling has been extended to include the mixing and combustion of C/B clouds in such explosion fields. Here we will establish how the cloud consumption by combustion depends on chamber environments.
机译:我们已经开发了自适应高分辨率方法,用于在热压爆炸中化学/生物(C / B)云的湍流燃烧数值模拟。该代码基于我们的AMR(自适应网格细化)技术,该技术已成功用于模拟爆炸中的分布式能量释放,例如:TNT爆炸中的后燃和密闭爆炸中冲击分散燃料(SDF)装药的湍流燃烧。还开发了专门针对低马赫数流量的方法版本,并在许多实验室规模的层流和湍流火焰配置中得到了广泛验证。在我们的公式中,我们通过反应气体动力学方程的多组分形式对气相进行建模,而粒子相则由Nigmatulin制定的针对两相反应流的连续力学定律进行建模。使用Khasainov模型考虑了相之间的质量,动量和能量交换。气相和粒子守恒律都与它们自己的二阶Godunov算法集成在一起,该算法结合了与此类双曲系统相关的非线性波结构。专门的常微分方程(ODE)方法用于整合化学动力学和相间项。自适应网格方法用于捕获湍流的能量承载尺度(J. Boris的MILES方法),而无需求助于传统的湍流模型。该代码建立在管理网格层次结构的AMR框架上。我们基于工作的负载平衡算法旨在在大规模并行计算机上高效运行。爆炸产物(EP)云中的气相燃烧是在快速化学极限下建模的,而EP云中的铝颗粒燃烧是基于Ingignoli的有限速率经验燃烧定律。组件的热力学性质由猎豹代码指定。在2009年的第19届HPCUG会议上,我们总结了以下方面的最新进展: -- “密闭和无限制SDF爆炸中湍流燃烧的AMR代码模拟”。这些模型已成功用于模拟增压器产品的同时后燃和SDF爆炸云中铝(Al)的燃烧。计算出的压力历史记录与数据非常吻合-从而证明了我们对此类爆炸的燃烧模型的有效性。今年,建模已扩展到包括在此类爆炸场中C / B云的混合和燃烧。在这里,我们将确定燃烧产生的云量如何取决于燃烧室环境。

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