A computational approach to flame hole dynamics using an embedded manifold approach

被引:4
|
作者
Knaus, R. [1 ]
Pantano, C. [1 ]
机构
[1] Univ Illinois, Dept Mech Sci & Engn, Urbana, IL 61801 USA
基金
美国国家科学基金会;
关键词
Flame hole dynamics; Embedded manifold; Extinction/reignition; Turbulent diffusion flames; High-order WENO; Non-conservative systems; PARTIAL-DIFFERENTIAL-EQUATIONS; VOLUME WENO SCHEMES; DIFFUSION FLAME; FINITE-VOLUME; MIXING-LAYER; EDGE FLAMES; HEAT RELEASE; EXTINCTION; COUNTERFLOW; SIMULATION;
D O I
10.1016/j.jcp.2015.04.037
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
We present a new numerical algorithm for tracking the evolution of flame holes in diffusion flames. The key element is the solution of an evolution equation for a flame state field defined on a complex moving surface. The surface itself can evolve in time and is defined implicitly as a level set of an associated Cartesian scalar field. The surface coordinates, or parameterization, do not need to be determined explicitly. Instead, the numerical method employs an embedding technique where the evolution equation is extended to the Cartesian space. In our application, the flame state field represents the chemical activity state of a diffusion flame; i.e. quenched and burning regions of the flame surface. We present a formulation that describes the formation, propagation, and growth of flame holes using edge-flame modeling in laminar and turbulent diffusion flames. The evolution equation is solved using a high-order finite-volume WENO method and a new extension algorithm defined in terms of propagation PDEs. The complete algorithm is demonstrated by tracking the dynamics of flame holes in a turbulent reacting shear layer and its applicability is also demonstrated in a turbulent reacting lifted jet simulation. (C) 2015 Elsevier Inc. All rights reserved.
引用
收藏
页码:209 / 240
页数:32
相关论文
共 50 条
  • [21] A Manifold Learning Approach to Data-Driven Computational Elasticity and Inelasticity
    Ibanez, Ruben
    Abisset-Chavanne, Emmanuelle
    Aguado, Jose Vicente
    Gonzalez, David
    Cueto, Elias
    Chinesta, Francisco
    ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING, 2018, 25 (01) : 47 - 57
  • [22] A Manifold Learning Approach to Data-Driven Computational Materials and Processes
    Ibanez, Ruben
    Abisset-Chavanne, Emmanuelle
    Aguado, Jose Vicente
    Gonzalez, David
    Cueto, Elias
    Duval, Jean Louis
    Chinesta, Francisco
    PROCEEDINGS OF THE 20TH INTERNATIONAL ESAFORM CONFERENCE ON MATERIAL FORMING (ESAFORM 2017), 2017, 1896
  • [23] Subspace Learning of Dynamics on a Shape Manifold: A Generative Modeling Approach
    Yi, Sheng
    Krim, Hamid
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2014, 23 (11) : 4907 - 4919
  • [24] Inertial Manifold and Large Deviations Approach to Reduced PDE Dynamics
    Franco Cardin
    Marco Favretti
    Alberto Lovison
    Journal of Statistical Physics, 2017, 168 : 1000 - 1015
  • [25] Inertial Manifold and Large Deviations Approach to Reduced PDE Dynamics
    Cardin, Franco
    Favretti, Marco
    Lovison, Alberto
    JOURNAL OF STATISTICAL PHYSICS, 2017, 168 (05) : 1000 - 1015
  • [26] The Nehari manifold approach for Fractional a(.)-Laplacian problem: the Nehari manifold approach
    Srati, Mohammed
    Azroul, Elhoussine
    Benkirane, Abdelmoujib
    COMPLEX VARIABLES AND ELLIPTIC EQUATIONS, 2025,
  • [27] AN EMERGENT COMPUTATIONAL APPROACH TO THE STUDY OF ECOSYSTEM DYNAMICS
    OLSON, RL
    SEQUEIRA, RA
    ECOLOGICAL MODELLING, 1995, 79 (1-3) : 95 - 120
  • [28] A STOCHASTIC APPROACH TO COMPUTATIONAL FLUID-DYNAMICS
    BREUER, HP
    PETRUCCIONE, F
    CONTINUUM MECHANICS AND THERMODYNAMICS, 1992, 4 (04) : 247 - 267
  • [29] A unified coordinates approach to computational fluid dynamics
    Hui, WH
    JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2004, 163 (01) : 15 - 28
  • [30] Phonetic acquisition in cortical dynamics, a computational approach
    Dematties, Dario
    Rizzi, Silvio
    Thiruvathukal, George K.
    Wainselboim, Alejandro
    Silvano Zanutto, B.
    PLOS ONE, 2019, 14 (06):