June 9th, 2021, 9:45 AM EDT - 11:15 AM EDT
Combustion, Fuels & Emissions Track
Deep Dive:
9:45 - 10:15 AM EDT, Paper No. GT2021-58352, “Confidence in Flame Impulse Response Estimation From Les With Uncertain Thermal Boundary Conditions”
Deep Dive:
10:15 - 10:45 AM EDT, Paper No. GT2021-60074, “Predicting the Amplitude of Thermoacoustic Instability Using Universal Scaling Behaviour”
Rapid Talk:
10:45 - 10:55 AM EDT, Paper No. GT2021-60283, “Bayesian Neural Networks Trained on Dynamic Pressure Information to Improve Prediction of the Onset of Combustion Instability”
Rapid Talk:
10:55 - 11:05 AM EDT, Paper No. GT2021-59601, “Towards Reduced Order Models of Small-Scale Acoustically Significant Components in Gas Turbine Combustion Chambers”
Rapid Talk:
11:05 - 11:15 AM EDT, Paper No. GT2021-59203, “A Numerical Study on the Influence of Hydrogen Addition on Soot Formation in a Laminar Aviation Kerosene (Jet A1) Flame at Elevated Pressures”
Presentations
| Participant Role | Details | Action |
|---|---|---|
| Submission | Confidence in Flame Impulse Response Estimation From Les With Uncertain Thermal Boundary Conditions | View |
| Submission | Predicting the Amplitude of Thermoacoustic Instability Using Universal Scaling Behaviour | View |
| Submission | Bayesian Neural Networks Trained on Dynamic Pressure Information to Improve Prediction of the Onset of Combustion Instability | View |
| Submission | Towards Reduced Order Models of Small-Scale Acoustically Significant Components in Gas Turbine Combustion Chambers | View |
| Submission | A Numerical Study on the Influence of Hydrogen Addition on Soot Formation in a Laminar Aviation Kerosene (Jet A1) Flame at Elevated Pressures | View |