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A NEWTON-KRYLOV BASED SOLVER FOR MODELING FINITE RATE CHEMISTRY

机译:基于牛顿-克里斯洛夫求解器的有限速率化学建模

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To date, computational fluid dynamics (CFD) codes aimed at solving practical engineering problems involving chemically reacting flow have incorporated relatively simple descriptions of the chemical mechanisms involved. Techniques are now available to create reduced mechanisms that faithfully represent detailed chemical descriptions over an appropriate range of conditions using many fewer species. However, including reduced mechanisms into a CFD analysis typically leads to numerical difficulties. In a recent project, a new modeling tool was created that utilizes a combination of state-of-the-art techniques used by Reaction Engineering International (REI) for modeling finite rate chemistry in chemically reacting flows using reduced mechanisms with emerging Newton-Krylov methods for solving systems of non-linear equations. For tests problems ranging from geometrically simple combustion problems to full-scale utility boiler simulations, the Newton-Krylov solver has reduced the CPU time to achieve a solution by up to 60% compared to our traditional Picard iteration method. This paper discusses the implementation of the Newton-Krylov solver into the REI combustion code, the impact of parameters on the performance of the Newton-Krylov solver for solving problems using reduced mechanisms, and demonstration of the Newton-Krylov solver on full-scale utility boiler NOx simulations.
机译:迄今为止,旨在解决涉及化学反应流的实际工程问题的计算流体力学(CFD)代码已包含了有关化学机理的相对简单描述。现在有可用的技术来创建简化的机制,这些机制可以使用更少的物种,在适当的条件范围内忠实地代表详细的化学描述。但是,在CFD分析中包含简化的机制通常会导致数值上的困难。在最近的项目中,创建了一个新的建模工具,该工具利用了国际反应工程学(REI)所使用的最新技术,利用新兴的Newton-Krylov方法通过简化的机理对化学反应流中的有限速率化学进行了建模。用于求解非线性方程组。与传统的Picard迭代方法相比,对于从几何简单燃烧问题到大型电站锅炉模拟等测试问题,Newton-Krylov解算器将实现解决方案所需的CPU时间减少了多达60%。本文讨论了将牛顿-克里洛夫求解器实现到REI燃烧代码中,参数对牛顿-克里洛夫求解器使用简化机制求解问题的性能的影响,以及牛顿-克里洛夫求解器在全面效用上的演示。锅炉NOx模拟。

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