Laminar flamelet decomposition for conditional source-term estimation

摘要: A new decomposition approach to conditional source-term estimation (CSE) is proposed and discussed. The tested in the a priori sense using direct numerical simulations (DNS). It found that—where CSE had previously been provide closure for chemical source-terms with arbitrary chemistry large eddy simulation paradigm—it can this Reynolds averaged Navier–Stokes paradigm as well. Using improves predictions of considerably. Only assumptions that gradients averages are small probability density function mixture fraction be adequately approximated presumed functional form needed. computational cost laminar flamelet also substantially lower than original approach.