Combustion simulations with high fidelity turbulence models and detailed chemistry may suffer from high computational power requirements due to the combined cost of time-scale dissipation and small integration steps. Such a limitation can be avoided by employing a hybrid reaction mechanism reduction method called local self-similarity tabulation (LS2T). LS2T directly solves several dominant species reactions and incorporates the effects of other species on dominant ones by data retrieval from pre-calculated tables. This paper demonstrates the application of LS2T method to a 3D combustion simulation of Sandia Flame-D. The combustion simulation uses large eddy simulation as turbulence solver and transported probability density function for species transport, to increase the accuracy of the simulation and avoid the use of any additional reaction model. The results show that by use of LS2T method, it is possible to maintain high accuracy and generate results similar to detailed chemistry of methane combustion while maintaining an acceptable computational effort.

中文翻译：

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更正：在 LES 和 TPDF 的 3D 湍流反应流模拟中通过局部自相似制表法利用简化动力学

由于时间尺度耗散和小集成步骤的综合成本，具有高保真湍流模型和详细化学的燃烧模拟可能会受到高计算能力要求的影响。通过采用称为局部自相似表 (LS2T) 的混合反应机制简化方法可以避免这种限制。LS2T 直接解决了几个优势物种的反应，并通过从预先计算的表格中检索数据来整合其他物种对优势物种的影响。本文演示了 LS2T 方法在 Sandia Flame-D 的 3D 燃烧模拟中的应用。燃烧模拟使用大涡模拟作为湍流求解器和物质传输的传输概率密度函数，以提高模拟的准确性并避免使用任何额外的反应模型。结果表明，通过使用 LS2T 方法，可以保持高精度并生成类似于甲烷燃烧详细化学的结果，同时保持可接受的计算量。