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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

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

Proceedings Papers

An Improved Reverse Monte Carlo Method for the Investigation of Aerodynamic and Infrared Radiation Characteristics of a Flying Wing UAV

Xiang Gao, Qingzhen Yang, Huicheng Yang, Jin Bai, Yubo He

Proc. ASME. GT2020, Volume 1: Aircraft Engine; Fans and Blowers, V001T01A042, September 21–25, 2020

Paper No: GT2020-16246

DOI: https://doi.org/10.1115/GT2020-16246

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Topics: Infrared radiation, Monte Carlo methods, Nozzles, Ray tracing, Unmanned aerial vehicles, Wings

Proceedings Papers

Uncertainty Quantification Analysis of a Pressurised Fuel Cell Hybrid System

Alessandra Cuneo, Andrea Giugno, Luca Mantelli, Alberto Traverso

Proc. ASME. GT2019, Volume 3: Coal, Biomass, Hydrogen, and Alternative Fuels; Cycle Innovations; Electric Power; Industrial and Cogeneration; Organic Rankine Cycle Power Systems, V003T06A013, June 17–21, 2019

Paper No: GT2019-91351

DOI: https://doi.org/10.1115/GT2019-91351

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Topics: Fuel cells, Uncertainty quantification, Uncertainty, Response surface methodology, Solid oxide fuel cells, Turbochargers, Anodes, Carbon, Combined heat and power, Compressors

Proceedings Papers

A Probabilistic Uncertainty Estimation Method for Turbulence Parameters Measured by Hot Wire Anemometry in Short Duration Wind Tunnels

Elissavet Boufidi, Sergio Lavagnoli, Fabrizio Fontaneto

Proc. ASME. GT2019, Volume 6: Ceramics; Controls, Diagnostics, and Instrumentation; Education; Manufacturing Materials and Metallurgy, V006T05A009, June 17–21, 2019

Paper No: GT2019-90461

DOI: https://doi.org/10.1115/GT2019-90461

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Topics: Turbulence, Uncertainty, Wind tunnels, Wire, Time series, Turbines, Algorithms, Monte Carlo methods, Signals

Proceedings Papers

Stochastic Fatigue Life Prediction Based on a Reduced Data Set

Dino Celli, M.-H. Herman Shen, Onome E. Scott-Emuakpor, Casey M. Holycross, Tommy J. George

Proc. ASME. GT2019, Volume 7A: Structures and Dynamics, V07AT32A005, June 17–21, 2019

Paper No: GT2019-90624

DOI: https://doi.org/10.1115/GT2019-90624

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Topics: Fatigue life, Cycles, Failure, Monte Carlo methods, Stress, Complex systems, Fatigue, High cycle fatigue, Weibull distribution

Proceedings Papers

Comparison of Monte Carlo Methods Efficiency to Solve Radiative Energy Transfer in High Fidelity Unsteady 3D Simulations

Lorella Palluotto, Nicolas Dumont, Pedro Rodrigues, Chai Koren, Ronan Vicquelin, Olivier Gicquel

Proc. ASME. GT2017, Volume 5A: Heat Transfer, V05AT20A004, June 26–30, 2017

Paper No: GT2017-64179

DOI: https://doi.org/10.1115/GT2017-64179

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Topics: Energy transformation, Engineering simulation, Monte Carlo methods, Simulation, Emissions, Errors, Radiative heat transfer, Temperature

Proceedings Papers

High-Fidelity Multiphysics Simulation of a Confined Premixed Swirling Flame Combining Large-Eddy Simulation, Wall Heat Conduction and Radiative Energy Transfer

Chai Koren, Ronan Vicquelin, Olivier Gicquel

Proc. ASME. GT2017, Volume 5C: Heat Transfer, V05CT17A010, June 26–30, 2017

Paper No: GT2017-64844

DOI: https://doi.org/10.1115/GT2017-64844

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Topics: Energy transformation, Flames, Heat conduction, Large eddy simulation, Simulation, Swirling flow, Heat transfer, Radiative heat transfer, Wall temperature, Accounting

Proceedings Papers

Design and Optimization of Multi-Stage Centrifugal Compressors With Uncertainty Quantification of Off Design Performance

A. Romei, R. Maffulli, C. Garcia Sanchez, S. Lavagnoli

Proc. ASME. GT2017, Volume 2C: Turbomachinery, V02CT44A019, June 26–30, 2017

Paper No: GT2017-63770

DOI: https://doi.org/10.1115/GT2017-63770

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Topics: Compressors, Design, Optimization, Uncertainty quantification, Architecture, Chaos, Compression, Evolutionary algorithms, Flow (Dynamics), Machinery

Proceedings Papers

Evaluation of Measurement Uncertainties for Pneumatic Multi-Hole Probes Using a Monte Carlo Method

Magnus Hölle, Christian Bartsch, Peter Jeschke

Proc. ASME. GT2016, Volume 6: Ceramics; Controls, Diagnostics and Instrumentation; Education; Manufacturing Materials and Metallurgy, V006T05A013, June 13–17, 2016

Paper No: GT2016-56626

DOI: https://doi.org/10.1115/GT2016-56626

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Topics: Measurement uncertainty, Monte Carlo methods, Probes, Uncertainty, Calibration, Algorithms, Evaluation methods, Polynomials, Probability, Airfoils

Proceedings Papers

Uncertainty Quantification of Hot Gas Ingestion for a Gas Turbine Nozzle Using Polynomial Chaos

Andrea Panizza, Alessio Bonini, Luca Innocenti

Proc. ASME. GT2015, Volume 2C: Turbomachinery, V02CT45A009, June 15–19, 2015

Paper No: GT2015-42679

DOI: https://doi.org/10.1115/GT2015-42679

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Topics: Chaos, Gas turbines, Nozzles, Polynomials, Uncertainty quantification, Probability, Cooling, Approximation, Design, Flow (Dynamics)

Proceedings Papers

Computational Techniques for Probabilistic Analysis of Turbomachinery

H. R. Millwater, A. J. Smalley, Y.-T. Wu, T. Y. Torng, B. F. Evans

Proc. ASME. GT1992, Volume 5: Manufacturing Materials and Metallurgy; Ceramics; Structures and Dynamics; Controls, Diagnostics and Instrumentation; Education, V005T14A020, June 1–4, 1992

Paper No: 92-GT-167

DOI: https://doi.org/10.1115/92-GT-167

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Topics: Turbomachinery, Rotors, Simulation, Sampling methods, Bearings, Clearances (Engineering), Degrees of freedom, Dynamic models, Engineers, Monte Carlo methods

Proceedings Papers

Predicting Gas Turbine Reliability to Assess Risks for Purchased Power Agreements

Wolfram Krockow

Proc. ASME. GT1996, Volume 5: Manufacturing Materials and Metallurgy; Ceramics; Structures and Dynamics; Controls, Diagnostics and Instrumentation; Education; General, V005T14A025, June 10–13, 1996

Paper No: 96-GT-266

DOI: https://doi.org/10.1115/96-GT-266

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Topics: Gas turbines, Reliability, Failure, Maintenance, Maintainability, Mathematics, Monte Carlo methods, Probability, Regulations, Sales

Proceedings Papers

A Techno-Economic Computational Tool for Power Generation Project Assessments and Life Cycle Risk Management

Stéphane Gayraud, Riti Singh

Proc. ASME. TA1997, ASME 1997 Turbo Asia Conference, V001T08A006, September 30–October 2, 1997

Paper No: 97-AA-130

DOI: https://doi.org/10.1115/97-AA-130

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Topics: Cycles, Energy generation, Risk management, Risk, Computer software, Engines, Life cycle costing, Risk analysis, Automotive engineering, Decision making

Proceedings Papers

Some Applications of the Monte Carlo Method to Gas Turbine Performance Simulations

Joachim Kurzke

Proc. ASME. GT1997, Volume 4: Manufacturing Materials and Metallurgy; Ceramics; Structures and Dynamics; Controls, Diagnostics and Instrumentation; Education; IGTI Scholar Award, V004T16A003, June 2–5, 1997

Paper No: 97-GT-048

DOI: https://doi.org/10.1115/97-GT-048

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Topics: Engineering simulation, Gas turbines, Monte Carlo methods, Simulation, Engines, Pressure, Control systems, Design, Electromagnetic scattering, Errors

Proceedings Papers

Uncertainty Quantification, Rare Events and Mission Optimization: Stochastic Variations of Metal Temperature During a Transient

F. Montomoli, D. Amirante, N. Hills, S. Shahpar, M. Massini

Proc. ASME. GT2014, Volume 5C: Heat Transfer, V05CT16A008, June 16–20, 2014

Paper No: GT2014-25398

DOI: https://doi.org/10.1115/GT2014-25398

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Topics: Metals, Optimization, Temperature, Transients (Dynamics), Uncertainty quantification, Gas turbines, Stators, Temperature gradient, Computational fluid dynamics, Cycles

Proceedings Papers

Enhanced Robust Design Simulation and Application to Engine Cycle and Technology Design

Jonathan S. Sands, Christopher A. Perullo, Brian K. Kestner, Dimitri N. Mavris

Proc. ASME. GT2014, Volume 1A: Aircraft Engine; Fans and Blowers, V01AT01A043, June 16–20, 2014

Paper No: GT2014-27137

DOI: https://doi.org/10.1115/GT2014-27137

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Topics: Cycles, Design, Engines, Simulation, Probability, Pressure, Uncertainty, Artificial neural networks, Engineers, Fittings

Proceedings Papers

Simultaneous Robust Design and Tolerancing of Compressor Blades

Eric A. Dow, Qiqi Wang

Proc. ASME. GT2014, Volume 2B: Turbomachinery, V02BT45A007, June 16–20, 2014

Paper No: GT2014-25795

DOI: https://doi.org/10.1115/GT2014-25795

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Topics: Blades, Compressors, Design, Manufacturing, Geometry, Optimization, Monte Carlo methods

Proceedings Papers

Efficient Uncertainty Quantification of Centrifugal Compressor Performance Using Polynomial Chaos

Andrea Panizza, Dante Tommaso Rubino, Libero Tapinassi

Proc. ASME. GT2014, Volume 2B: Turbomachinery, V02BT45A001, June 16–20, 2014

Paper No: GT2014-25081

DOI: https://doi.org/10.1115/GT2014-25081

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Topics: Chaos, Compressors, Polynomials, Uncertainty quantification, Impellers, Uncertainty, Blades, Statistical distributions, Computation, Design

Proceedings Papers

Dynamic Response Analysis of Rotor System With Uncertain Parameters via Interval Analysis Method

Jie Hong, Jun Wang, Meng Chen, Yanhong Ma

Proc. ASME. GT2012, Volume 7: Structures and Dynamics, Parts A and B, 593-600, June 11–15, 2012

Paper No: GT2012-69007

DOI: https://doi.org/10.1115/GT2012-69007

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Topics: Dynamic response analysis, Rotors, Dynamic response, Cycles, Stiffness, Blades, Manufacturing, Mathematics, Monte Carlo methods, Probability

Proceedings Papers

Performance Uncertainty Quantification for Centrifugal Compressors: Part 1—Stage Performance Variation

Andrea Panizza, Giuseppe Iurisci, Giuseppe Sassanelli, Sankaran Sivasubramaniyan

Proc. ASME. GT2012, Volume 8: Turbomachinery, Parts A, B, and C, 1863-1872, June 11–15, 2012

Paper No: GT2012-68036

DOI: https://doi.org/10.1115/GT2012-68036

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Topics: Compressors, Uncertainty quantification, Flanges, Uncertainty, Design, Geometry, Impellers, Manufacturing, Monte Carlo methods, Risk

NARROW

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

An Improved Reverse Monte Carlo Method for the Investigation of Aerodynamic and Infrared Radiation Characteristics of a Flying Wing UAV

Uncertainty Quantification Analysis of a Pressurised Fuel Cell Hybrid System

A Probabilistic Uncertainty Estimation Method for Turbulence Parameters Measured by Hot Wire Anemometry in Short Duration Wind Tunnels

Stochastic Fatigue Life Prediction Based on a Reduced Data Set

Comparison of Monte Carlo Methods Efficiency to Solve Radiative Energy Transfer in High Fidelity Unsteady 3D Simulations

High-Fidelity Multiphysics Simulation of a Confined Premixed Swirling Flame Combining Large-Eddy Simulation, Wall Heat Conduction and Radiative Energy Transfer

Design and Optimization of Multi-Stage Centrifugal Compressors With Uncertainty Quantification of Off Design Performance

Evaluation of Measurement Uncertainties for Pneumatic Multi-Hole Probes Using a Monte Carlo Method

Uncertainty Quantification of Hot Gas Ingestion for a Gas Turbine Nozzle Using Polynomial Chaos

Computational Techniques for Probabilistic Analysis of Turbomachinery

Predicting Gas Turbine Reliability to Assess Risks for Purchased Power Agreements

A Techno-Economic Computational Tool for Power Generation Project Assessments and Life Cycle Risk Management

Some Applications of the Monte Carlo Method to Gas Turbine Performance Simulations

Uncertainty Quantification, Rare Events and Mission Optimization: Stochastic Variations of Metal Temperature During a Transient

Enhanced Robust Design Simulation and Application to Engine Cycle and Technology Design

Simultaneous Robust Design and Tolerancing of Compressor Blades

Efficient Uncertainty Quantification of Centrifugal Compressor Performance Using Polynomial Chaos

Dynamic Response Analysis of Rotor System With Uncertain Parameters via Interval Analysis Method

Performance Uncertainty Quantification for Centrifugal Compressors: Part 1—Stage Performance Variation

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