Deliverables Documents, reports (15) Control of a thermoacoustic system using machine learning Control of thermoacoustic system using machine learning Compressible LES of liquid fuel injection using AVBP. Compressible LES of liquid fuel injection using AVBP Modelling of acoustically absorbing liners. Modelling of acoustically absorbing liners. Demo of of combustion instability surrogate model. Demo of LES of unstable spray flames Uncertainty handling in engine operation. Uncertainty handling in engine operation Droplet measurements data in an atmospheric test rig. Droplet measurements data in an atmospheric test rig Development of the Discontinuous Galerkin discretization in SU2: application demo LES of spray flames. Development of the Discontinuous Galerkin discretization in SU2 application demo LES of spray flames Compressible LES applied to combustion liners and dilution holes. Compressible LES applied to combustion liners and dilution holes Simulation data of the effect of pressure variation on spray combustion. Simulation data of the effect of pressure variation on spray combustion Machine learning in thermoacoustic measurements. Machine learning in thermoacoustic measurements Comparison of different machine learning algorithms. Comparison of different machine learning algorithms. Application of machine learning in CFD. Application of machine learning in CFD. UQ of spray combustion. Uncertainty Quantification of spray combustion LES demo thermoacoustic instability in helicopter engine LES demo thermoacoustic instability in helicopter engine Measurement data of the acoustic response of kerosene spray flames. Measurement data of the acoustic response of kerosene spray flames Other (7) Summer school: Thermo-acoustics and combustion dynamics in aero gas turbine engines Thermo-acoustics and combustion dynamics in aero gas turbine engines Workshop C Entrepreneurship, ethics, intellectual property rights and management Workshop B CFD for spray flame simulations Workshop D Measurements of spray flames in aircraft type combustors Overview of Outreach activities. Final press release Overview of Outreach activities Final press release Symposium: Future Aero gas turbine engines Com-bustion Dynamics+Acoustics: Prediction and Remedy Aero gas turbine engine Combustion Dynamics and Acoustics Prediction and Remedy Workshop A Machine Learning, Combustion and Acoustics in aero engine combustors Open Research Data Pilot (1) Data Management Plan (DMP) Mandatory deliverable as consortium decided not to opt out of the pilot on open research. Websites, patent fillings, videos etc. (1) MAGISTER web site operational MAGISTER web site operational Publications Book chapters (1) Data Assimilation Using Heteroscedastic Bayesian Neural Network Ensembles for Reduced-Order Flame Models Author(s): Maximilian L. Croci, Ushnish Sengupta, Matthew P. Juniper Published in: Computational Science – ICCS 2021 - 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part V, Issue 12746, 2021, Page(s) 408-419, ISBN 978-3-030-77976-4 Publisher: Springer International Publishing DOI: 10.1007/978-3-030-77977-1_33 Conference proceedings (29) Reduced order models applied to laminar diffusion flames Author(s): Nicole Lopes M. B. Junqueira, Luís Fernando Figueira da Silva, Louise Da Costa Ramos Published in: Procceedings of the 18th Brazilian Congress of Thermal Sciences and Engineering, 2020 Publisher: ABCM DOI: 10.26678/abcm.encit2020.cit20-0196 Real-time parameter inference in reduced-order flame models with heteroscedastic Bayesian neural network ensembles Author(s): Sengupta, Ushnish; Croci, Maximilian L.; Juniper, Matthew P. Published in: Issue 1, 2021 Publisher: Cornell University Bayesian Machine Learning for the Prognosis of Combustion Instabilities From Noise Author(s): Ushnish Sengupta; Carl Edward Rasmussen; Matthew P. Juniper Published in: Issue 2, 2021 Publisher: Proceedings of the ASME Turbo Expo DOI: 10.1115/1.4049762 Confidence in Flame Impulse Response Estimation by LES with Uncertain Thermal Boundary Condition Author(s): Kulkarni S, Guo S, Silva CF, Polifke W. Published in: 2021 Publisher: ASME Turbo Expo 2021 DOI: 10.13140/rg.2.2.25121.12642 Thermoacoustic stabilization of combustors with gradient-augmented Bayesian optimization and adjoint models Author(s): Ushnish Sengupta1 and Matthew P. Juniper1 Published in: 2021 Publisher: Symposium on Thermoacoustics in Combustion: Industry meets Academia (SoTiC 2021) Numerical design of Luenberger observers for nonlinear systems Author(s): L. C. Ramos, F. D. Meglio, V. Morgenthaler, L. F. Figueira da Silva, P. Bernard Published in: 2020 IEEE Conference on Decision and Control (CDC), 2020 Publisher: IEEE Avoiding High-frequency Thermoacoustic Instabilities in Liquid Propellant Rocket Engines Using Bayesian Deep Learning Author(s): Sengupta, Ushnish ; Waxenegger-Wilfing, Guenther ; Martin, Jan ; Hardi, Justin ; Juniper, Matthew Published in: Avoiding High-frequency Thermoacoustic Instabilities in Liquid Propellant Rocket Engines Using Bayesian Deep Learning, 2020 Publisher: Conference: American Physical Society, Division of Fluid Dynamics Meeting 2020 (APS DFD 2020) DOI: 10.13140/rg.2.2.15452.00649 Static mesh adaptation for reliable large eddy simulation of turbulent reacting flows Author(s): P. W. Agostinelli; B. Rochette; D. Laera; J. Dombard; B. Cuenot; L. Gicquel Published in: Crossref, Issue 5, 2021, ISSN 1527-2435 Publisher: Physics of Fluids DOI: 10.1063/5.0040719 Fusing model ensembles and observations together with Bayesian neural networks Author(s): Amos, Matt ; Sengupta, Ushnish ; Hosking, Scott ; Young, Paul Published in: 2021 Publisher: EGU General Assembly Conference Abstracts Forecasting Thermoacoustic Instabilities in Liquid Propellant Rocket Engines Using Multimodal Bayesian Deep Learning Author(s): Ushnish Senguptaa, G ̈unther Waxenegger-Wilfingb, Jan Martinb,Justin Hardib, Matthew P. Junipera,∗ Published in: Fluid Dynamics (physics.flu-dyn); Computational Engineering, Finance, and Science (cs.CE); Machine Learning (cs.LG), 2021 Publisher: Fluid Dynamics (physics.flu-dyn); Computational Engineering, Finance, and Science (cs.CE); Machine Learning (cs.LG) Online Detection of Combustion Instabilities Using Supervised Machine Learning Author(s): Michael McCartney, Wolfgang Polifke Published in: Proceedings of the ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition, 2020 Publisher: ASME Turbo Expo 2020 DOI: 10.1115/gt2020-14834 Comparison of Machine Learning Algorithms in the Interpolation and Extrapolation of Flame Describing Functions Author(s): Michael McCartney, Matthias Haeringer, Wolfgang Polifke Published in: Volume 4B: Combustion, Fuels, and Emissions, Issue GT 2019, Anual, 2019, ISBN 978-0-7918-5862-2 Publisher: American Society of Mechanical Engineers DOI: 10.1115/gt2019-91319 A model to study spontaneous oscillations in a lean premixed combustor using non-linear analysis Author(s): Sara Navarro Arredondo, Jim Kok Published in: Proceedings of the 26th International Congress on Sound and Vibration, Issue 26, 2019, ISBN 978-1-9991810-0-0 Publisher: Canadian Acoustical Association Numerical Study Of A Swirl Atomized Spray Response To Acoustic Perturbations. Author(s): Alireza Ghasemi, J.B.W. Kok Published in: Proceedings of the 26th International Congress on Sound and Vibration, Issue 26, 2019, ISBN 978-1-9991810-0-0 Publisher: Canadian Acoustical Association Bayesian machine learning for the prognosis of combustion instabilities from noise Author(s): Ushnish Sengupta Carl Rasmussen Matthew Juniper Published in: Proceedings of the ASME 2020 Turbomachinery Technical Conference Exposition, 2020 Publisher: Proceedings of the ASME 2020 Turbomachinery Technical Conference Exposition DOI: 10.31224/osf.io/ysgp4 Ensembling geophysical models with Bayesian Neural Networks Author(s): Sengupta, Ushnish; Amos, Matt; Hosking, J. Scott; Rasmussen, Carl Edward; Juniper, Matthew; Young, Paul J. Published in: Issue 2, 2020 Publisher: Cornell University DOI: 10.17863/cam.60032 Real-time parameter inference in reduced-order flame models with heteroscedastic Bayesian neural network ensembles Author(s): Ushnish Sengupta, Maximilian L. Croci, Matthew P. Juniper Published in: 2020 Publisher: Cornell University Comparison of Machine Learning Algorithms in the Interpolation and Extrapolation of Flame Describing Functions Author(s): Michael McCartney, Matthias Haeringer, Wolfgang Polifke Published in: Volume 4B: Combustion, Fuels, and Emissions, 2019, ISBN 978-0-7918-5862-2 Publisher: American Society of Mechanical Engineers DOI: 10.1115/gt2019-91319 Numerical and Experimental Flame Stabilization Analysis in the New SpinningCombustion Technology Framework Author(s): Agostinelli, P. W., Kwah, Y. H., Richard, S., Exilard, G., Dawson, J. R., Gicquel, L., & Poinsot, T. Published in: 2020 Publisher: In Proceedings of the ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition DOI: 10.1115/gt2020-15035 Real-time parameter inference of nonlinear bluff-body-stabilized flame models using Bayesian neural network ensembles Author(s): Maximilian L. Croci1 2, Ushnish Sengupta1 and Matthew P. Juniper1 Published in: Symposium on Thermoacoustics in Combustion: Industry meets Academia (SoTiC 2021), 2021 Publisher: SoTiC 2021 - Symposium on Thermoacoustics in Combustion: Industry meets Academia, 2021 Numerical design of Luenberger observers for nonlinear systems Author(s): Louise da C. Ramos, Florent Di Meglio, Valery Morgenthaler, Luis F. Figueira da Silva, Pauline Bernard Published in: 2020 59th IEEE Conference on Decision and Control (CDC), 2020, Page(s) 5435-5442, ISBN 978-1-7281-7447-1 Publisher: IEEE DOI: 10.1109/cdc42340.2020.9304163 Reduced Order Models Applied to Laminar Diffusion Flames Author(s): N. L. M. B. Junqueira, L. F. Figueira da Silva, L. C. Ramos Published in: 2020 Brazilian Congress of Thermal Sciences and Engineering, Online., 2020 Publisher: 2020 Brazilian Congress of Thermal Sciences and Engineering, Online. Reduced Order Model of Laminar Premixed Inverted Conical Flames Author(s): Louise da Costa Ramos, Florent Di Meglio, Luis Fernando F. Da Silva, Valery Morgenthaler Published in: AIAA Scitech 2020 Forum, 2020, ISBN 978-1-62410-595-1 Publisher: American Institute of Aeronautics and Astronautics DOI: 10.2514/6.2020-0416 Estimating Both Reflection Coefficients of 2×2 Linear Hyperbolic Systems with Single Boundary Measurement Author(s): Nils Christian A. Wilhelmsen, Florent Di Meglio Published in: 2020 59th IEEE Conference on Decision and Control (CDC), 2020, Page(s) 658-665, ISBN 978-1-7281-7447-1 Publisher: IEEE DOI: 10.1109/cdc42340.2020.9304413 The influence of the learning data on the reduced order model of laminar non-premixed flames Author(s): Nicole Lopes Junqueira Luis Fernando Figueira da Silva , Louise da Costa Ramos , Igor Braga de Paula Published in: 26 International Congress of Mechanical Engineering, 2021 Publisher: 26 International Congress of Mechanical Engineering DOI: 10.26678/abcm.cobem2021.cob2021-0110 Assimilation of Experimental Data to Create a Quantitatively Accurate Reduced-Order Thermoacoustic Model Author(s): Francesco Garita; Hans Yu; Matthew P. Juniper Published in: Issue 4, 2021, ISSN 1528-8919 Publisher: Journal of Engineering for Gas Turbines and Power DOI: 10.31224/osf.io/8bmaz Ongoing Development of Non-reflective Boundary Conditions for Euler and Navier-Stokes Equations via the Discontinuous Galerkin Framework Author(s): Edmond Shehadi, Edwin van der Weide Published in: AIAA Scitech 2021 Forum, 2021, ISBN 978-1-62410-609-5 Publisher: American Institute of Aeronautics and Astronautics DOI: 10.2514/6.2021-1660 ASSIMILATION OF EXPERIMENTAL DATA TO CREATE A QUANTITATIVELY-ACCURATE REDUCED ORDER THERMOACOUSTIC MODEL Author(s): Garita, F., Yu, H., & Juniper, M. Published in: Proceedings of the ASME Turbo Expo 2020: Turbine Technical Conference and Exposition, 2020 Publisher: ASME Turbo Expo 2020 Influence of Hole-to-Hole Interaction on the Acoustic Behavior of Multi-Orifice Perforated Plates Author(s): Alireza Javareshkian, Alexis Dancelme, Hongyu Chen, Thomas Sattelmayer Published in: 2021 Publisher: Journal of Engineering for Gas Turbines and Power DOI: 10.1115/gt2021-58535 Peer reviewed articles (9) Improved color-gradient method for lattice Boltzmann modeling of two-phase flows Author(s): T. Lafarge; P. Boivin; N. Odier; B. Cuenot Published in: EISSN: 1089-7666, Issue 1, 2021, ISSN 1527-2435 Publisher: Physics of Fluids DOI: 10.1063/5.0061638 Influence of an Oscillating Airflow on the PrefilmingAirblast Atomization Process Author(s): Thomas Christou Björn Stelzner Nikolaos Zarzalis Published in: Atomization and Sprays, 2021, ISSN 1936-2684 Publisher: Atomization and Sprays DOI: 10.1615/atomizspr.2021034553 Modeling of the nonlinear flame response of a Bunsen-type flame via multi-layer perceptron Author(s): Nilam Tathawadekar, Nguyen Anh Khoa Doan, Camilo F. Silva, Nils Thuerey Published in: Proceedings of the Combustion Institute, 2020, ISSN 1540-7489 Publisher: Combustion Institute DOI: 10.1016/j.proci.2020.07.115 Numerical study of multicomponent spray flame propagation Author(s): Varun Shastry Quentin Cazeres Bastien Rochette Eleonore Riber Bénédicte Cuenot Published in: Proceedings of the Combustion Institute, 2019, ISSN 1540-7489 Publisher: Combustion Institute DOI: 10.1016/j.proci.2020.07.090 Impact of wall heat transfer in Large Eddy Simulation of flame dynamics in a swirled combustion chamber Author(s): P.W.Agostinelli D.Laera I.Boxx L.Gicquel T.Poinsotd Published in: Combustion and Flame, 2021, ISSN 0010-2180 Publisher: Elsevier BV DOI: 10.1016/j.combustflame.2021.111728 Reducing Uncertainty in the Onset of Combustion Instabilities Using Dynamic Pressure Information and Bayesian Neural Networks Author(s): Michael McCartney, Ushnish Sengupta, Matthew Juniper Published in: Journal of Engineering for Gas Turbines and Power, 2021, ISSN 0742-4795 Publisher: American Society of Mechanical Engineers DOI: 10.1115/1.4052145 Comparison of Machine Learning Algorithms in the Interpolation and Extrapolation of Flame Describing Functions Author(s): Michael McCartney, Matthias Haeringer, Wolfgang Polifke Published in: Journal of Engineering for Gas Turbines and Power, Issue 142/6, 2020, ISSN 0742-4795 Publisher: American Society of Mechanical Engineers DOI: 10.1115/1.4045516 An Observer for the Electrically Heated Vertical Rijke Tube with Nonlinear Heat Release Author(s): Nils Christian A. Wilhelmsen, Florent Di Meglio Published in: IFAC-PapersOnLine, Issue 53/2, 2020, Page(s) 4181-4188, ISSN 2405-8963 Publisher: IFAC-PapersOnLine DOI: 10.1016/j.ifacol.2020.12.2461 Early detection of thermoacoustic instabilities in a cryogenic rocket thrust chamber using combustion noise features and machine learning Author(s): Günther Waxenegger-Wilfing, Ushnish Sengupta, Jan Martin, Wolfgang Armbruster, Justin Hardi, Matthew Juniper, Michael Oschwald Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science, Issue 31/6, 2021, Page(s) 063128, ISSN 1054-1500 Publisher: American Institute of Physics DOI: 10.1063/5.0038817 Thesis dissertations (1) Ensembling geophysical models with Bayesian Neural Networks Author(s): Ushnish Sengupta, Matt Amos, J. Scott Hosking, Carl Edward Rasmussen, Matthew Juniper, Paul J. Young Published in: Advances in Neural Information Processing Systems (NeurIPS) 2020, 2020 Publisher: Advances in Neural Information Processing Systems (NeurIPS) 2020 Searching for OpenAIRE data... There was an error trying to search data from OpenAIRE No results available
