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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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aduate-level students and researchers in mechanical and aerospace engineering, e.g. those with an interest in general fluid mechanics,applied mathematics, and the environmental and atmospheric sciences..978-3-030-44720-5978-3-030-44718-2
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Ribosomal genes and nucleolar morphologyd their combinations (e.g., progress variable and mixture fraction) have been widely employed in previous studies. However, the use of such scalars typically requires semi-empirical criteria that need to be adjusted for different flame types and conditions, rendering them difficult to be automated f
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https://doi.org/10.1007/978-94-011-1510-0 an estimate of the time horizon within which the occurrence of ignition kernels and deflagrative modes, which are considered here as rare and transient events, can be accurately predicted. The accurate detection of ignition kernels and their evolution towards deflagrative structures are well captur
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Bruce D. McKee,Chia-sin Hong,Siuk Yooing physical phenomena, and lead to the formulation of high-fidelity models. This chapter aims to offer to the reader a comprehensive introduction of the PCA potential for data analysis, firstly introducing the main theoretical concepts, and then going through all the required computational steps by
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