Generalizable Data-Driven Modeling Framework for Understanding and Modeling Turbulent Combustion

Abstract

Turbulent combustion physics in aerospace systems typically features interactions between turbulence and chemical reactions that span a wide range of temporal and spatial scales. Even with the rapid advancement in high performance computing, direct numerical simulations (DNS) remain restricted to small-scale turbulent combustion problems. While large-eddy simulations (LES) are well suited to model large-scale physics, the effects of small-scale physics must be incorporated through closure models, most of which are assumption-based and cannot represent the true physics, especially at practical conditions in aerospace systems. Against this landscape, the objective of the present proposal is to formulate a systematic and generally applicable datadriven modeling framework to1) inform effective reduced-order models (ROMs) from DNS to represent subgrid-scale (SGS) or subfilter-scale (SFS) physics (referred to as DNS-ROM); and 2) enhance LES by incorporating DNS-ROM for SGS/SFS physics to enable efficient and accurate turbulent combustion simulations in aerospace systems. To achieve this goal, a hybrid LES/DNS-ROM framework is proposed with the DNS-informed SFS/SGS physics integrated into LES, which contains two major developmental components: -DNS-ROM development focuses on constructing efficient and predictive ROM(s) for SGS/SFS physics through mathematically formal model reduction formulations based on a minimal number of turbulent combustion DNS calculations to represent small-scale physics that cannot be resolved by LES. -LES/DNS-ROM coupling aims at architecting a modeling framework that can provide accurate predictions of turbulent combustion in aerospace systems. The main goal is to transfer the resolved-scale information from LES to DNS-ROM while effectively integrating the SGS/SFS information from DNS-ROM into LES for turbulent reacting flow simulations in practical aerospace systems.The proposed hybrid LES/DNS-ROM framework establishes a promising path towards novel and intelligent computational tools for turbulent combustion simulations, applicable to a wide range of aerospace systems, including liquid rocket engines, gas turbine engines, rotating detonation engines, and scramjets.

Document Details

Document Type
DoD Grant Award
Publication Date
Feb 29, 2024
Source ID
FA95502310211

Entities

People

  • Cheng Huang

Organizations

  • Air Force Office of Scientific Research
  • United States Air Force
  • University of Kansas

Tags

Fields of Study

  • Physics

Readers

  • Computational Fluid Dynamics (CFD)
  • Systems Analysis and Design

Technology Areas

  • Space
  • Space - Hall-Effect Thruster