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On the importance of graph search algorithms for DRGEP-based mechanism reduction methods

机译:关于图搜索算法对基于DRGEp的机制的重要性   减少方法

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摘要

The importance of graph search algorithm choice to the directed relationgraph with error propagation (DRGEP) method is studied by comparing basic andmodified depth-first search, basic and R-value-based breadth-first search(RBFS), and Dijkstra's algorithm. By using each algorithm with DRGEP to produceskeletal mechanisms from a detailed mechanism for n-heptane withrandomly-shuffled species order, it is demonstrated that only Dijkstra'salgorithm and RBFS produce results independent of species order. In addition,each algorithm is used with DRGEP to generate skeletal mechanisms for n-heptanecovering a comprehensive range of autoignition conditions for pressure,temperature, and equivalence ratio. Dijkstra's algorithm combined with acoefficient scaling approach is demonstrated to produce the most compactskeletal mechanism with a similar performance compared to larger skeletalmechanisms resulting from the other algorithms. The computational efficiency ofeach algorithm is also compared by applying the DRGEP method with each searchalgorithm on the large detailed mechanism for n-alkanes covering n-octane ton-hexadecane with 2115 species and 8157 reactions. Dijkstra's algorithmimplemented with a binary heap priority queue is demonstrated as the mostefficient method, with a CPU cost two orders of magnitude less than the othersearch algorithms.
机译:通过比较基本和改进的深度优先搜索,基于基本和基于R值的广度优先搜索(RBFS)以及Dijkstra算法,研究了图搜索算法选择对有向关系图和错误传播的重要性(DRGEP)。通过使用具有DRGEP的每种算法,从详细的物种顺序随机排列的正庚烷机理中产生骨架机理,证明只有Dijkstra的算法和RBFS产生的结果与物种顺序无关。此外,每种算法都与DRGEP一起使用,以生成正庚烷的骨架机理,从而涵盖了范围广泛的自燃条件,包括压力,温度和当量比。与其他算法产生的较大骨骼机制相比,Dijkstra的算法与系数缩放方法相结合可产生出性能最紧凑的骨骼机制。还通过将DRGEP方法与每个搜索算法应用到涵盖2115种物种和8157个反应的正辛烷覆盖正辛烷十六烷的大型详细机理上,比较了每种算法的计算效率。用二进制堆优先级队列实现的Dijkstra算法被证明是最有效的方法,其CPU成本比其他搜索算法低两个数量级。

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