Search Results | GT | ASME Digital Collection

1-20 of 79

2 3 4

Sort by

Sort Order Select

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

View Paper

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

Paper No: GT2021-58603

DOI: https://doi.org/10.1115/GT2021-58603

View Paper

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

Paper No: GT2021-59642

DOI: https://doi.org/10.1115/GT2021-59642

View Paper

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

Paper No: GT2021-59033

DOI: https://doi.org/10.1115/GT2021-59033

View Paper

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

View Paper

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

View Paper

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

View Paper

Topics: Film cooling, Gas turbines, Sensitivity analysis, Stators, Uncertainty analysis, Uncertainty quantification

Proceedings Papers

The Impact of Exceptional Points on the Reliability of Thermoacoustic Stability Analysis

Felicitas Schäfer, Shuai Guo, Wolfgang Polifke

Proc. ASME. GT2020, Volume 4B: Combustion, Fuels, and Emissions, V04BT04A014, September 21–25, 2020

Paper No: GT2020-15496

DOI: https://doi.org/10.1115/GT2020-15496

View Paper

Topics: Reliability, Stability, Eigenvalues, Flames, Algorithms, Computation, Dynamics (Mechanics), Eigenfunctions, Modeling, Numerical stability

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

View Paper

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

View Paper

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

View Paper

Topics: Offshore wind turbines, Rotors, Uncertainty quantification

Proceedings Papers

Probabilistic Analysis of the Fatigue Life of Offshore Wind Turbine Structures

Abraham Nispel, Stephen Ekwaro-Osire, João Paolo Dias

Proc. ASME. GT2020, Volume 12: Wind Energy, V012T42A004, September 21–25, 2020

Paper No: GT2020-14742

DOI: https://doi.org/10.1115/GT2020-14742

View Paper

Topics: Fatigue life, Offshore wind turbines, Reliability, Uncertainty quantification

Proceedings Papers

Application of Uncertainty Quantification Methods to the Prediction of Effusion Cooled Combustor Liner Temperature

Andrea Gamannossi, Alberto Amerini, Matteo Poggiali, Carlo Alberto Elmi, Lorenzo Mazzei, Antonio Andreini

Proc. ASME. GT2020, Volume 7A: Heat Transfer, V07AT11A005, September 21–25, 2020

Paper No: GT2020-14793

DOI: https://doi.org/10.1115/GT2020-14793

View Paper

Topics: Chaos, Combustion chambers, Gas turbines, Polynomials, Temperature, Uncertainty quantification

Proceedings Papers

Uncertainty Quantification of Spalart-Allmaras Turbulence Model Coefficients for Compressor Stall

Xiao He, Fanzhou Zhao, Mehdi Vahdati

Proc. ASME. GT2020, Volume 2C: Turbomachinery, V02CT35A028, September 21–25, 2020

Paper No: GT2020-15014

DOI: https://doi.org/10.1115/GT2020-15014

View Paper

Topics: Compressors, Turbulence, Uncertainty quantification, Uncertainty, Airfoils, Flow (Dynamics), Rotors, Delays, Monte Carlo methods, Navier-Stokes equations

Proceedings Papers

Sensitivity Analysis and Uncertainty Quantification for Rim Seal Ingestion With 1-D Network Models

Alejandro Pozo Dominguez, Nicholas Hills, Simao Marques

Proc. ASME. GT2020, Volume 2D: Turbomachinery, V02DT38A019, September 21–25, 2020

Paper No: GT2020-15218

DOI: https://doi.org/10.1115/GT2020-15218

View Paper

Topics: Network models, Sensitivity analysis, Uncertainty quantification, Modeling, Uncertainty, Cavities, Turbines, Computer simulation, Flow (Dynamics), Gas turbines

Proceedings Papers

Impact of Realistic Manufacturing Uncertainties on the Aerodynamic Performance of a Transonic Centrifugal Impeller

Yiming Liu, Ruihong Qin, Yaping Ju, Stephen Spence, Chuhua Zhang

Proc. ASME. GT2020, Volume 2D: Turbomachinery, V02DT38A012, September 21–25, 2020

Paper No: GT2020-14784

DOI: https://doi.org/10.1115/GT2020-14784

View Paper

Topics: Flow (Dynamics), Impellers, Manufacturing, Uncertainty, Uncertainty quantification

Proceedings Papers

Uncertainty Quantification of Aero-Thermal Performance of a Blade Endwall Considering Slot Geometry Deviation and Mainstream Fluctuation

Zhi Tao, Zhendong Guo, Liming Song, Jun Li

Proc. ASME. GT2020, Volume 2D: Turbomachinery, V02DT38A029, September 21–25, 2020

Paper No: GT2020-16183

DOI: https://doi.org/10.1115/GT2020-16183

View Paper

Topics: Blades, Geometry, Uncertainty quantification, Flow (Dynamics), Uncertainty, Film cooling, Gas turbines, Sensitivity analysis, Failure, Fluctuations (Physics)

Proceedings Papers

Uncertainty Based Optimization Strategy for the Gappy-POD Multi-Fidelity Method

Bernhard Poethke, Stefan Völker, Konrad Vogeler

Proc. ASME. GT2020, Volume 2D: Turbomachinery, V02DT38A017, September 21–25, 2020

Paper No: GT2020-15166

DOI: https://doi.org/10.1115/GT2020-15166

View Paper

Topics: Optimization, Uncertainty, Airfoils, Design, Uncertainty quantification, Algorithms, Engineering simulation, Errors, Experimental design, Fittings

Proceedings Papers

An Enhanced Gas Turbine Engine Laboratory: A Learning Platform Supporting an Undergraduate Engineering Curriculum

Andrew T. Bellocchio, Michael J. Benson, Bret P. Van Poppel, Seth A. Norberg, Ryan Benz

Proc. ASME. GT2019, Volume 6: Ceramics; Controls, Diagnostics, and Instrumentation; Education; Manufacturing Materials and Metallurgy, V006T07A003, June 17–21, 2019

Paper No: GT2019-91616

DOI: https://doi.org/10.1115/GT2019-91616

View Paper

Topics: Gas turbines, Undergraduate students, Students, Engines, Dynamometers, Flow (Dynamics), Brakes, Data acquisition systems, Fuels, Stress

Proceedings Papers

Comparison of Machine Learning Algorithms in the Interpolation and Extrapolation of Flame Describing Functions

Michael McCartney, Matthias Haeringer, Wolfgang Polifke

Proc. ASME. GT2019, Volume 4B: Combustion, Fuels, and Emissions, V04BT04A020, June 17–21, 2019

Paper No: GT2019-91319

DOI: https://doi.org/10.1115/GT2019-91319

View Paper

Topics: Algorithms, Flames, Interpolation, Machine learning, Errors, Limit cycles, Simulation, Splines, Uncertainty quantification

2 3 4

NARROW

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

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

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

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

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

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

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

The Impact of Exceptional Points on the Reliability of Thermoacoustic Stability Analysis

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

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

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

Probabilistic Analysis of the Fatigue Life of Offshore Wind Turbine Structures

Application of Uncertainty Quantification Methods to the Prediction of Effusion Cooled Combustor Liner Temperature

Uncertainty Quantification of Spalart-Allmaras Turbulence Model Coefficients for Compressor Stall

Sensitivity Analysis and Uncertainty Quantification for Rim Seal Ingestion With 1-D Network Models

Impact of Realistic Manufacturing Uncertainties on the Aerodynamic Performance of a Transonic Centrifugal Impeller

Uncertainty Quantification of Aero-Thermal Performance of a Blade Endwall Considering Slot Geometry Deviation and Mainstream Fluctuation

Uncertainty Based Optimization Strategy for the Gappy-POD Multi-Fidelity Method

An Enhanced Gas Turbine Engine Laboratory: A Learning Platform Supporting an Undergraduate Engineering Curriculum

Comparison of Machine Learning Algorithms in the Interpolation and Extrapolation of Flame Describing Functions

Journals

Conference Proceedings

eBooks

Resources

Opportunities

Journals

Conference Proceedings

eBooks

Resources

Opportunities

This Feature Is Available To Subscribers Only