Reduced-order Modeling via Operator Inference for 2D Combustion

This repository is an extensive example of the non-intrusive, data-driven Operator Inference procedure for reduced-order modeling applied to a two-dimensional combustion problem. It is the source code for [1] and can be used to reproduce the results of [2].

See the Wiki for details on the problem statement, instructions for using this repository, and visual results.

<img src="https://drive.google.com/uc?export=view&id=1TbIfBQW-YYXVydBFC0McJaSFjkvaeLvA" width="700">

Contributors: Shane A. McQuarrie, Renee Swischuk, Parikshit Jain, Boris Kramer, Karen Willcox

References

• [1] McQuarrie, S. A., Huang, C., and Willcox, K., Data-driven reduced-order models via regularized operator inference for a single-injector combustion process. arXiv:2008.02862. (Download)

BibTeX

@article{MHW2021regOpInfCombustion,
    title   = {Data-driven reduced-order models via regularized operator inference for a single-injector combustion process},
    author  = {McQuarrie, S. A. and Huang, C. and Willcox, K.},
    journal = {arXiv preprint arXiv:2008.02862},
    year    = {2021}
}

• [2] Swischuk, R., Kramer, B., Huang, C., and Willcox, K., Learning physics-based reduced-order models for a single-injector combustion process. AIAA Journal, Vol. 58:6, pp. 2658-2672, 2020. Also in Proceedings of 2020 AIAA SciTech Forum & Exhibition, Orlando FL, January, 2020. Also Oden Institute Report 19-13. (Download)

BibTeX

@article{SKHW2020romCombustion,
    title     = {Learning physics-based reduced-order models for a single-injector combustion process},
    author    = {Swischuk, R. and Kramer, B. and Huang, C. and Willcox, K.},
    journal   = {AIAA Journal},
    volume    = {58},
    number    = {6},
    pages     = {2658--2672},
    year      = {2020},
    publisher = {American Institute of Aeronautics and Astronautics}
}

• [3] Huang, C. (2020). [Updated] 2D Benchmark Reacting Flow Dataset for Reduced Order Modeling Exploration [Data set]. University of Michigan - Deep Blue. https://doi.org/10.7302/nj7w-j319.

• [4] ROM Operator Inference Python 3 package (pypi)