This repository provides advanced tutorial cases which demonstrate the scaling capability and computational efficiency of the DLBFoam library, a radically fast detailed chemistry solver for OpenFOAM.
The detailed discussion and validation of the provided tutorial cases are openly available in Ref. [1]
The provided tutorial cases represent the following:
- Two-dimensional reacting shear layer
- Three-dimensional stratified combustion
- Engine Combustion Network Spray A
- Sandia flame D
As there are many more experimental benchmarks of various combustion phenomena that have not been tested, we would be happy to receive your contribution using the DLBFoam and reporting the speed-up and scaling effects against standard solvers.
If you use our tutorial cases, please cite the paper discussing these test cases [1], together with the original DLBFoam paper, also noted in Ref. [2].
[1] I. Morev, B. Tekgül, M. Gadalla, A. Shahanaghi, J. Kannan, S. Karimkashi, O. Kaario, V. Vuorinen, Fast reactive flow simulations using analytical Jacobian and dynamic load balancing in OpenFOAM, Physics of Fluids 34, 021801, doi:10.1063/5.0077437 (2022).
BibTex
@article{Morev2022,
doi = {10.1063/5.0077437},
url = {https://doi.org/10.1063/5.0077437},
year = {2022},
month = feb,
publisher = {{AIP} Publishing},
volume = {34},
number = {2},
pages = {021801},
author = {Ilya Morev and Bulut Tekg\"{u}l and Mahmoud Gadalla and Ali Shahanaghi and Jeevananthan Kannan and Shervin Karimkashi and Ossi Kaario and Ville Vuorinen},
title = {Fast reactive flow simulations using analytical Jacobian and dynamic load balancing in {OpenFOAM}},
journal = {Physics of Fluids}
}
[2] B. Tekgül, P. Peltonen, H. Kahila, O. Kaario, V. Vuorinen, DLBFoam: An open-source dynamic load balancing model for fast reacting flow simulations in OpenFOAM, Computer Physics Communications, Volume 267, doi:10.1016/j.cpc.2021.108073 (2021).
BibTex
@article{tekgul2021dlbfoam,
title={DLBFoam: An open-source dynamic load balancing model for fast reacting flow simulations in OpenFOAM},
author={Tekg{\"u}l, Bulut and Peltonen, Petteri and Kahila, Heikki and Kaario, Ossi and Vuorinen, Ville},
journal={Computer Physics Communications},
pages={108073},
year={2021},
publisher={Elsevier}
}
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent