Hierarchical Strategy for Supporting Validation of Combustion Simulations

Abstract

The objective of this research project is to develop strategies that enable the objective validation of combustion simulation models. Specifically, by extending concept that have been proposed for the Validation and Verification of CFD methods, the goals of this research are- (i) Establish a logical validation hierarchy that utilizes an iterative strategy to guide the selection of validation experiments for the systematic evaluation of combustion models; (ii) Provide a quantitative measure for assessing model accuracy in describing system response quantities, such as heat release, emissions, or fuel conversion; (iii) Evaluate concepts for establishing taxonomy to classify combustion-physical processes in support of developing a validation hierarchy that considers the impact a particular experiment has on the validation by introducing importance ranking and model trust region; (iv) Enable the consideration of uncertainties that are introduced by incomplete measurements and errors arising from numerical solution inaccuracies and model deficiencies; and (v) Identify pathways towards the logical and rational improvement of simulation models and addressing their model deficiencies. The anticipated outcome of this research is a logical and systematic approach for (i) providing a quantitative assessment of the accuracy of a simulation method in reliably predicting the system response, (ii) enabling the selection of specific test-cases to augment the modelvalidation process, (iii) facilitating the quantitative comparison of different models, (iv) identifying model deficiencies and guiding potential model improvements. A series of configurations are proposed to demonstrate these methods and support the development of a logical validation hierarchy. We will closely collaborate with AFRL, universities, and other national laboratories to obtain experimental and cross-validation data in order to implement these concepts in Air-Force relevant settings.

Document Details

Document Type
DoD Grant Award
Publication Date
Mar 07, 2023
Source ID
FA95502110077

Entities

People

  • Matthias Ihme

Organizations

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

Tags

Readers

  • Computational Modeling and Simulation
  • Distributed Systems and Data Platform Development