Kinetic subspace investigation using neural network for uncertainty quantification in nonpremixed flamelets
Propagating uncertainties in kinetic models through turbulent combustion simulations to properly quantify the uncertainties in the simulation results remains a challenging and numerically expensive problem. Efficient approaches have been proposed for certain flames in the flamelet region by reducing...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Elsevier BV
2024
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| Online Access: | https://hdl.handle.net/1721.1/156211 |