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Proceedings Papers

Uncertainty Quantification on the Cooling Performance of a Transonic Turbine Vane With Upstream Endwall Misalignment

Mingyang Hao, Yuanyuan Li, Zhigang Li, Jun Li
Proc. ASME. GT2022, Volume 6A: Heat Transfer — Combustors; Film Cooling, V06AT12A029, June 13–17, 2022
Paper No: GT2022-82555
DOI: https://doi.org/10.1115/GT2022-82555
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Topics: Cooling, Film cooling, Turbines, Uncertainty quantification
Proceedings Papers

Application of Adjoint-Enhanced First Order Second Moment Method for Robust Design Optimization of a High Pressure Compressor Rotor

Max Dittmann, Robin Schmidt, Marcus Meyer
Proc. ASME. GT2022, Volume 10D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Turbomachinery General Interest; Unsteady Flows in Turbomachinery, V10DT34A006, June 13–17, 2022
Paper No: GT2022-80806
DOI: https://doi.org/10.1115/GT2022-80806
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Topics: Compressors, Design, High pressure (Physics), Optimization, Rotors, Blades, Airfoils, Robustness, Uncertainty, Uncertainty quantification
Proceedings Papers

Digital Shadow and Robust Optimization of in Service Squealer Tip Turbine Blades

Irene Virdis, Tiziano Ghisu, Shahrokh Shahpar, Iñaki de la Puerta, Haidong Li
Proc. ASME. GT2022, Volume 10D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Turbomachinery General Interest; Unsteady Flows in Turbomachinery, V10DT34A009, June 13–17, 2022
Paper No: GT2022-81779
DOI: https://doi.org/10.1115/GT2022-81779
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Topics: High pressure (Physics), Optimization, Shades and shadows, Turbine blades, Uncertainty quantification
Proceedings Papers

Adjoint Optimization of Centrifugal Compressor Rotor Accounting for Manufacturing Uncertainties

Mohamed H. Aissa, Alberto Racca, Lasse Mueller, Tom Verstraete, Carnell E. Williams
Proc. ASME. GT2022, Volume 10D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Turbomachinery General Interest; Unsteady Flows in Turbomachinery, V10DT34A017, June 13–17, 2022
Paper No: GT2022-82848
DOI: https://doi.org/10.1115/GT2022-82848
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Topics: Accounting, Compressors, Manufacturing, Optimization, Rotors, Uncertainty, Uncertainty quantification
Proceedings Papers

An Experimental Investigation on the Dynamic Response Variability of a Turbine Blade With Mid-Span Dampers

Erhan Ferhatoglu, Daniele Botto, Stefano Zucca
Proc. ASME. GT2022, Volume 8B: Structures and Dynamics — Probabilistic Methods; Rotordynamics; Structural Mechanics and Vibration, V08BT27A004, June 13–17, 2022
Paper No: GT2022-79980
DOI: https://doi.org/10.1115/GT2022-79980
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Topics: Dampers, Dynamic response, Friction, Turbine blades, Blades, Cycles, Design, Kinematics, Performance, Uncertainty quantification
Proceedings Papers

A Stochastic and Bayesian Inference Toolchain for Uncertainty and Risk Quantification of Rare Autoignition Events in DLE Premixers

Sajjad Yousefian, Gilles Bourque, Sandeep Jella, Philippe Versailles, Rory F. D. Monaghan
Proc. ASME. GT2022, Volume 3B: Combustion, Fuels, and Emissions, V03BT04A055, June 13–17, 2022
Paper No: GT2022-83667
DOI: https://doi.org/10.1115/GT2022-83667
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Topics: Risk, Uncertainty, Particle filtering (numerical methods), Combustion systems, Computational fluid dynamics, Emissions, Methane, Modeling, Temperature, Temperature distribution
Proceedings Papers

Metamodelling of Ignition Delay Time for Natural Gas Blends Under Gas Turbine Operating Conditions

Sajjad Yousefian, Gilles Bourque, Rory F. D. Monaghan
Proc. ASME. GT2022, Volume 3B: Combustion, Fuels, and Emissions, V03BT04A014, June 13–17, 2022
Paper No: GT2022-82269
DOI: https://doi.org/10.1115/GT2022-82269
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Topics: Gas turbines, Ignition delay, Metamodeling, Natural gas, Fuels, Combustion systems, Design, Approximation, Chaos, Computational fluid dynamics
Proceedings Papers

Uncertainty Quantification of Computational Flutter Estimates of a Compressor Cascade

Marco Rauseo, Fanzhou Zhao, Mehdi Vahdati, Quentin Rendu
Proc. ASME. GT2022, Volume 8A: Structures and Dynamics — Aerodynamics Excitation and Damping; Bearing and Seal Dynamics; Emerging Methods in Engineering Design, Analysis, and Additive Manufacturing; Fatigue, Fracture, and Life Prediction, V08AT21A010, June 13–17, 2022
Paper No: GT2022-81935
DOI: https://doi.org/10.1115/GT2022-81935
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Topics: Cascades (Fluid dynamics), Compressors, Flutter (Aerodynamics), Uncertainty quantification, Damping, Flow (Dynamics), Blades, Design, Uncertainty, Aircraft engines
Proceedings Papers

A Methodology for a Coupled Structural - CFD Analysis of Compressor Rotor Blades Subjected to Ice Impact With Uncertain Impactor Parameters

Holger Böhm, Andreas Hornig, Maik Gude, Lars Högner, Marcus Meyer
Proc. ASME. GT2022, Volume 8A: Structures and Dynamics — Aerodynamics Excitation and Damping; Bearing and Seal Dynamics; Emerging Methods in Engineering Design, Analysis, and Additive Manufacturing; Fatigue, Fracture, and Life Prediction, V08AT23A005, June 13–17, 2022
Paper No: GT2022-82383
DOI: https://doi.org/10.1115/GT2022-82383
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Topics: Blades, Compressors, Computational fluid dynamics, Ice, Rotors, Deformation, Density, Finite element analysis, Fluid dynamics, Fluids
Proceedings Papers

A Digital Twin of Compressor Blisk Manufacturing Geometrical Variability for the Aeroelastic Uncertainty Quantification of the Aerodynamic Damping

Marco Gambitta, Bernd Beirow, Sven Schrape
Proc. ASME. GT2022, Volume 8A: Structures and Dynamics — Aerodynamics Excitation and Damping; Bearing and Seal Dynamics; Emerging Methods in Engineering Design, Analysis, and Additive Manufacturing; Fatigue, Fracture, and Life Prediction, V08AT21A021, June 13–17, 2022
Paper No: GT2022-82935
DOI: https://doi.org/10.1115/GT2022-82935
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Topics: Compressors, Damping, Digital twin, Manufacturing, Uncertainty quantification, Airfoils, Geometry, Vibration, Aerodynamics, Blades
Proceedings Papers

Uncertainty Quantification of a Jet Engine Performance Model Under Scarce Data Availability

Norbert Ludwig, Giulia Antinori, Marco Daub, Fabian Duddeck
Proc. ASME. GT2021, Volume 2D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V02DT36A006, June 7–11, 2021
Paper No: GT2021-58604
DOI: https://doi.org/10.1115/GT2021-58604
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Topics: Jet engines, Uncertainty quantification, Manufacturing, Uncertainty, Design, Flow (Dynamics), Probability, Gaussian distribution, Robustness
Proceedings Papers

Robust Design Optimization of an Industrial 1.5 Stage Axial Compressor Under Operational and Geometrical Uncertainties

Alexandre Gouttière, Dirk Wunsch, Rémy Nigro, Virginie Barbieux, Charles Hirsch
Proc. ASME. GT2021, Volume 2D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V02DT36A005, June 7–11, 2021
Paper No: GT2021-58603
DOI: https://doi.org/10.1115/GT2021-58603
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Topics: Compressors, Design, Flow (Dynamics), Optimization, Uncertainty, Uncertainty quantification
Proceedings Papers

Stator Blades Manufacturing Geometrical Variability in Axial Compressors and Impact on the Aeroelastic Excitation Forces

Marco Gambitta, Arnold Kühhorn, Bernd Beirow, Sven Schrape
Proc. ASME. GT2021, Volume 2D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V02DT36A014, June 7–11, 2021
Paper No: GT2021-59642
DOI: https://doi.org/10.1115/GT2021-59642
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Topics: Blades, Compressors, Excitation, Manufacturing, Stators, Uncertainty, Rotors, Algorithms, Annulus, Design
Proceedings Papers

Investigations on the Aerothermal Performance Uncertainty Quantification of the Turbine Blade Squealer Tip

Ming Huang, Zhigang Li, Jun Li, Liming Song
Proc. ASME. GT2021, Volume 2D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V02DT36A008, June 7–11, 2021
Paper No: GT2021-59033
DOI: https://doi.org/10.1115/GT2021-59033
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Topics: Turbine blades, Uncertainty quantification, Design, Uncertainty, Geometry, Heat transfer, Rotors, Clearances (Engineering), Film cooling, Heat flux
Proceedings Papers

Confidence in Flame Impulse Response Estimation From LES With Uncertain Thermal Boundary Conditions

Sagar Kulkarni, Shuai Guo, Camilo F. Silva, Wolfgang Polifke
Proc. ASME. GT2021, Volume 3A: Combustion, Fuels, and Emissions, V03AT04A002, June 7–11, 2021
Paper No: GT2021-58352
DOI: https://doi.org/10.1115/GT2021-58352
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Topics: Boundary-value problems, Flames, Impulse (Physics), Uncertainty, Combustion chambers, Temperature, Dynamic response, Stability, Combustion, Dynamics (Mechanics)
Proceedings Papers

Uncertainty in High-Pressure Stator Performance Measurement in an Annular Cascade at Engine-Representative Reynolds and Mach

Lakshya Bhatnagar, Guillermo Paniagua, David G. Cuadrado, Papa Aye N. Aye-Addo, Antonio Castillo Sauca, Francisco Lozano, Matthew Bloxham
Proc. ASME. GT2021, Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power, V004T05A012, June 7–11, 2021
Paper No: GT2021-59702
DOI: https://doi.org/10.1115/GT2021-59702
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Topics: Cascades (Fluid dynamics), Engines, High pressure (Physics), Stators, Uncertainty, Turbines, Calibration, Probes, Uncertainty analysis, Valves
Proceedings Papers

Uncertainty Analysis of Film Cooling of Fan-Shaped Holes on a Stator Vane Under Realistic Inlet Conditions

Hai Wang, Chun-hua Wang, Xing-dan Zhu, Jian Pu, Hai-ying Lu, Ming-hou Liu, Jian-hua Wang
Proc. ASME. GT2021, Volume 5A: Heat Transfer — Combustors; Film Cooling, V05AT12A012, June 7–11, 2021
Paper No: GT2021-59269
DOI: https://doi.org/10.1115/GT2021-59269
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Topics: Film cooling, Gas turbines, Sensitivity analysis, Stators, Uncertainty analysis, Uncertainty quantification
Proceedings Papers

Uncertainty Analysis of Inflow Conditions on an HPT Gas Turbine Nozzle: Effect on Particle Deposition

R. Friso, N. Casari, M. Pinelli, A. Suman, F. Montomoli
Proc. ASME. GT2020, Volume 2B: Turbomachinery, V02BT34A012, September 21–25, 2020
Paper No: GT2020-15370
DOI: https://doi.org/10.1115/GT2020-15370
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Topics: Gas turbines, Inflow, Nozzles, Particulate matter, Uncertainty analysis, Uncertainty, Creep, Engines, Flow (Dynamics), Machinery
Proceedings Papers

Uncertainty Quantification and Missing Data for Turbomachinery With Probabilistic Equivalence and Arbitrary Polynomial Chaos, Applied to Scroll Compressors

Nick Pepper, Francesco Montomoli, Francesco Giacomel, Giovanna Cavazzini, Michele Pinelli, Nicola Casari, Sanjiv Sharma
Proc. ASME. GT2020, Volume 10B: Structures and Dynamics, V10BT28A007, September 21–25, 2020
Paper No: GT2020-16139
DOI: https://doi.org/10.1115/GT2020-16139
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Topics: Chaos, Compressors, Polynomials, Turbomachinery, Uncertainty quantification, Statistical distributions, Additive manufacturing, Blocks (Building materials), Carbon fibers, Computer simulation
Proceedings Papers

Uncertainty Quantification of Mass and Aerodynamic Rotor Imbalance for Offshore Wind Turbines

Nicholas J. Ward, Stephen Ekwaro-Osire, João Paulo Dias
Proc. ASME. GT2020, Volume 12: Wind Energy, V012T42A015, September 21–25, 2020
Paper No: GT2020-15792
DOI: https://doi.org/10.1115/GT2020-15792
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Topics: Offshore wind turbines, Rotors, Uncertainty quantification