论文标题
对湍流反应流的预测模拟的要求
Requirements Towards Predictive Simulations of Turbulent Reacting Flows
论文作者
论文摘要
模型开发已取得了重大进展,以模拟湍流反应流。结果,我们目前处于一个相当复杂的燃烧过程的钥匙物理方面,在定性上得到了充分了解,并且在许多情况下 - 也处于定量水平。例子是温度和主要物种,统计固定的火焰,气相燃烧,湍流传输和湍流/火焰耦合的预测。然而,当前的挑战在于捕获瞬态过程和稳定边界,次要物种和排放,多相流和相变,以及可能涉及火焰曲率效应,分层,部分比较或火焰壁相互作用的多维火焰/流相互作用。因此,出现了一个问题,需要采取哪些步骤来提高建模功能的当前状态才能解决这些缺陷?本文旨在解决这个问题。我们首先要回顾当前的燃烧模型方法,我们对改进现有模型的追求,数值离散化和物理模型引起的错误的分离以及模型评估的想法。然后,我们通过检查定量模型评估,可预测性,利益量以及成本/准确性权衡的概念来进行。我们通过引入最近的概念来结束,将时间分辨的测量值吸收到数值模拟中,以进行状态估计,模型评估和参数确定。
Significant progress has been made on the model development for simulating turbulent reacting flows. As a consequence, we are currently in a position where key-physical aspects of fairly complex combustion processes are well understood at a qualitative and -- in many cases -- also at a quantitative level. Examples are the prediction of temperature and major species, statistically stationary flames, gas-phase combustion, turbulent transport, and turbulence/flame coupling. However, current challenges lie in capturing transient processes and stability boundaries, minor species and emissions, multiphase flows and phase-transition, as well as multidimensional flame/flow interactions that may involve flame curvature effects, stratification, partially premixing, or flame-wall interaction. With this, the question arises what steps need to be taken to elevate the current state of modeling capabilities in order to address these deficiencies? This paper seeks to address this question. We begin by reviewing the current state of combustion model approaches, our quest for improving existing models, the separation of errors arising from numerical discretization and physical models, and ideas on model evaluations. We then proceed by examining concepts on quantitative model evaluations, requirements on predictability, quantities of interest, and cost/accuracy trade-offs. We close by introducing recent concepts that assimilate time-resolved measurements into numerical simulations for state estimation, model evaluation, and parameter determination.