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Titlebook: Data Analysis for Direct Numerical Simulations of Turbulent Combustion; From Equation-Based Heinz Pitsch,Antonio Attili Book 2020 Springer

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楼主: 笔记
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https://doi.org/10.1007/978-3-0348-8484-6plains the methodology, reviews recent work in the field and focuses on the robustness of the method and the scope for future efficiency improvements, by applying it to the modelling of the unclosed stress tensor in turbulent premixed statistically planar flames.
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Dynamic Mode Decomposition: A Tool to Extract Structures Hidden in Massive Datasets,e-dimensional Direct Numerical Simulation of spatially evolving turbulent planar premixed hydrogen/air jet flames at varying Karlovitz number. The focus of this investigation is the identification of the most important modes and frequencies for the physical phenomena, specifically heat release and turbulence, governing the flow field evolution.
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Machine Learning of Combustion LES Models from Reacting Direct Numerical Simulation,aset. A-priori testing of the DNN-based model highlights the representative power of DNN to accurately reproduce the filtered reaction progress variable source term over a range of scales and various flame regimes as seen in an industrial burner.
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