Skip to content
Open
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
21 changes: 21 additions & 0 deletions _databases/combustion_zou.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,21 @@
---
layout: post
title: "Combustion data"
type: "Numerical / Combustion CFD"
tldr: "Combustion data used for research in reactive flows
order: 4
---

### Data index:
* [DLR turbulent jet diffusion methane-hydrogen flame](#zou-dataset)
* [BLASTNet](#blastnet-dataset)

## DLR turbulent jet diffusion methane-hydrogen flame<a id="zou-dataset"></a>
This database contains RANS CFD simulations of the DLR turbulent jet diffusion flame, a reference configuration for turbulent non-premixed combustion consisting of a methane/hydrogen/nitrogen fuel jet issuing into a coflowing air stream. Simulations were run in OpenFOAM (`reactingFoam`) using the standard k-ε turbulence model and the Eddy Dissipation Concept (EDC) for finite-rate chemistry, and were validated against experimental temperature profiles. The dataset comprises 400 CFD cases generated by varying the fuel-jet Reynolds number (11,000-20,000) and the hydrogen mass fraction (4%-22%), with velocity, temperature, pressure, and species fields sampled from each case and organized in tensor form for reduced-order and machine-learning modelling.

Database available *coming soon*.

## BLASTNet<a id="blastnet-dataset"></a>
BLASTNet (Bearable Large Accessible Scientific Training Network-of-datasets) is an open, community-maintained collection of high-fidelity simulation data for fluid mechanics and combustion research, comprising several terabytes of turbulent and reacting-flow datasets used for turbulence closure modelling, spatio-temporal prediction, and inverse modelling. Data and pre-trained model weights are hosted on Kaggle, with accompanying code distributed via GitHub.

[[Link to BLASTNet](https://blastnet.github.io/)]
Loading