Analysis and Modeling of Turbulence-Flame Interactions in Premixed Reacting Flows

Abstract

In this research effort, the coupled interactions between turbulence and premixed flames were explored from a fundamental physical standpoint using both scale-dependent and Lagrangian analysis approaches. Improved understanding of these interactions is critical for developing new subgrid-scale (SGS) models that can capture energy transfer between disparate turbulent and flame scales in large eddy simulations (LES) of both fundamental and applied combustion problems. The scale-dependent analyses have included both Fourier and physical-space approaches in order to determine how chemical energy release from premixed flames is distributed to turbulent scales of motion both larger and smaller than the flame width. Moreover, the nonlinearly coupled dynamics of turbulent fluid motion and chemical species evolution have been examined using a Lagrangian analysis approach, with a particular emphasis on determining how chemical species evolution differs in turbulent settings as compared to the laminar and perfectly-stirred conditions for which most chemical kinetic mechanisms are developed. We have also examined the properties of turbulence from a Lagrangian perspective, including turbulent dispersion and enstrophy evolution along fluid particle pathlines. Finally, modern data-driven optimization and machine learning techniques were used to develop improved simulations of complex engineering flows, particularly through the use of approximate Bayesian computation (ABC).

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Document Details

Document Type
Technical Report
Publication Date
Jan 23, 2022
Accession Number
AD1230628

Entities

People

  • Peter Edward Hamlington

Organizations

  • University of Colorado Boulder

Tags

Fields of Study

  • Physics

Readers

  • Combustion science or combustion engineering.
  • Fluid Mechanics and Fluid Dynamics.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • Space
  • Space - Hall-Effect Thruster