4.4 Article

Bayesian Model Calibration Using High-Fidelity Simulations of a Mach 8 Scramjet Isolator and Combustor

Journal

COMBUSTION SCIENCE AND TECHNOLOGY
Volume -, Issue -, Pages -

Publisher

TAYLOR & FRANCIS INC
DOI: 10.1080/00102202.2023.2239447

Keywords

Bayesian; calibration; scramjet; reduced modeling; >

Ask authors/readers for more resources

This study develops a calibration procedure for a one-dimensional model of the wall pressure in a scramjet flowpath. Using wall pressure measurements from three-dimensional simulations, the six model parameters are tuned using a Bayesian methodology. The results show that the calibrated model can capture the mean wall pressure in both the isolator and combustor. The procedure can converge for both uniform and Gaussian priors, and physically-consistent correlations between parameters are obtained.
The development of complex physical systems, such as scramjets, requires comprehensive assessments of the relevant performance envelopes. Because high-fidelity simulations and experiments are generally too expensive to perform over a wide range of operating conditions, reduced models can be especially useful for exploring the design space. However, these models often involve empirical parameters which must be calibrated using high-fidelity data sets. The present work develops a calibration procedure for a one-dimensional model of the wall pressure in a scramjet flowpath. Using wall pressure measurements from three-dimensional simulations, the six model parameters are tuned using a Bayesian methodology. The results show that the tuned model is largely able to capture the mean wall pressure in both the isolator and combustor. The calibration procedure is able to converge for both uniform and Gaussian priors, provided that the Gaussian priors are sufficiently wide. Physically-consistent correlations between parameters are obtained, which could inform further reductions in the model's dimensionality. Application of the model to additional flow conditions shows good agreement to simulations not used in the calibration procedure.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available