From 3d2ab03e718c3a8d036f78ad6402b5a8f77441b4 Mon Sep 17 00:00:00 2001 From: Isacco Date: Mon, 13 Jul 2026 10:58:21 +0200 Subject: [PATCH 1/2] zou's dataset for combustion GPR+HOSVD --- _databases/combustion_zou.md | 15 +++++++++++++++ 1 file changed, 15 insertions(+) create mode 100644 _databases/combustion_zou.md diff --git a/_databases/combustion_zou.md b/_databases/combustion_zou.md new file mode 100644 index 000000000000..28a6d1a92f98 --- /dev/null +++ b/_databases/combustion_zou.md @@ -0,0 +1,15 @@ +--- +layout: post +title: "Combustion data" +type: "Numerical / Combustion CFD" +tldr: "RANS CFD dataset of the DLR methane/hydrogen/nitrogen turbulent jet diffusion flame for reduced-order and data-driven modelling" +order: 4 +--- + +### Data index: + * [Zou's dataset](#zou-dataset) + +## Zou's dataset +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 100 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 mass fraction fields sampled from each case and organized in tensor form for reduced-order and machine-learning modelling. + +Database available *coming soon*. From 56501ff0ec7b5d5b1e90307a7d88411357b9a0a5 Mon Sep 17 00:00:00 2001 From: Isacco Date: Mon, 13 Jul 2026 12:19:38 +0200 Subject: [PATCH 2/2] add BLASTNet dataset section --- _databases/combustion_zou.md | 14 ++++++++++---- 1 file changed, 10 insertions(+), 4 deletions(-) diff --git a/_databases/combustion_zou.md b/_databases/combustion_zou.md index 28a6d1a92f98..c6d35c4bd8a1 100644 --- a/_databases/combustion_zou.md +++ b/_databases/combustion_zou.md @@ -2,14 +2,20 @@ layout: post title: "Combustion data" type: "Numerical / Combustion CFD" -tldr: "RANS CFD dataset of the DLR methane/hydrogen/nitrogen turbulent jet diffusion flame for reduced-order and data-driven modelling" +tldr: "Combustion data used for research in reactive flows order: 4 --- ### Data index: - * [Zou's dataset](#zou-dataset) + * [DLR turbulent jet diffusion methane-hydrogen flame](#zou-dataset) + * [BLASTNet](#blastnet-dataset) -## Zou's dataset -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 100 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 mass fraction fields sampled from each case and organized in tensor form for reduced-order and machine-learning modelling. +## DLR turbulent jet diffusion methane-hydrogen flame +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 +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/)]