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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

On the Probabilistic Endurance Prediction Approach for Turbomachinery Blades and Vanes

Davendu Y. Kulkarni, Caetano Peng

Proc. ASME. GT2020, Volume 10B: Structures and Dynamics, V10BT28A001, September 21–25, 2020

Paper No: GT2020-14013

DOI: https://doi.org/10.1115/GT2020-14013

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Topics: Blades, Design, Simulation, Turbomachinery, High cycle fatigue, Stators, Aircraft engines, Compressors, Cycles, Damping

Proceedings Papers

Probabilistic Lifing Methods for Digital Assets

Henry Cathcart, Christopher Meyer, Mark Joyce, Richard Green

Proc. ASME. GT2020, Volume 10B: Structures and Dynamics, V10BT28A008, September 21–25, 2020

Paper No: GT2020-16187

DOI: https://doi.org/10.1115/GT2020-16187

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Topics: Creep, Cycles, Damage, Design, Durability, Energy industry, Fatigue, Industrial gases, Instrumentation, Life extension

Proceedings Papers

Stochastic Modelling and Analysis of Rotating Bladed Discs

Rahul Kumar, Sayan Gupta, Shaikh Faruque Ali

Proc. ASME. GT2020, Volume 10B: Structures and Dynamics, V10BT28A009, September 21–25, 2020

Paper No: GT2020-16212

DOI: https://doi.org/10.1115/GT2020-16212

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Topics: Chaos, Disks, Finite element analysis, Modeling, Polynomials, Simulation

Proceedings Papers

Quantification of Low-Cycle Fatigue Life for a Gas Turbine Compressor Vane Carrier Under Varying Operating Conditions

Zixi Han, Zixian Jiang, Sophie Ehrt, Mian Li

Proc. ASME. GT2020, Volume 10B: Structures and Dynamics, V10BT28A002, September 21–25, 2020

Paper No: GT2020-14384

DOI: https://doi.org/10.1115/GT2020-14384

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Topics: Compressors, Gas turbines, Low cycle fatigue

Proceedings Papers

Experimental LCF Study of a Probabilistically Optimized Double Notch Specimen Geometry for Validation of Deterministic and Probabilistic Design Concepts

Marcel Adam, Sebastian Schmitz, Suhas Suresh, Dirk Kulawinski, Alexander Erbe, Lucas Mäde, Sesha Gundavarapu, Christian Kontermann, Matthias Oechsner

Proc. ASME. GT2020, Volume 10B: Structures and Dynamics, V10BT28A003, September 21–25, 2020

Paper No: GT2020-14557

DOI: https://doi.org/10.1115/GT2020-14557

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Topics: Alternating current potential drop techniques, Design, Geometry, Shape optimization, Size effect, Testing

Proceedings Papers

A Probabilistic Model for Forging Flaw Crack Nucleation Processes

Francesco Radaelli, Christian Amann, Ali Aydin, Igor Varfolomeev, Peter Gumbsch, Kai Kadau

Proc. ASME. GT2020, Volume 10B: Structures and Dynamics, V10BT28A004, September 21–25, 2020

Paper No: GT2020-14606

DOI: https://doi.org/10.1115/GT2020-14606

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Topics: Forging, Fracture (Materials), Nucleation (Physics), Rotors

Proceedings Papers

Probabilistic Fracture Mechanics for Mature Service Frame Rotors

Philipp Engels, Christian Amann, Sebastian Schmitz, Kai Kadau

Proc. ASME. GT2020, Volume 10B: Structures and Dynamics, V10BT28A005, September 21–25, 2020

Paper No: GT2020-14608

DOI: https://doi.org/10.1115/GT2020-14608

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Topics: Fracture mechanics, Rotors, Cycles, Design, Disks, Risk, Blades, Failure, Forging, Gas turbines

Proceedings Papers

Reliability Analysis on Fatigue Life of Turbine Disk Regarding for the Correlation Between Divided Zones

Gaoxiang Chen, Jiang Fan

Proc. ASME. GT2020, Volume 10B: Structures and Dynamics, V10BT28A006, September 21–25, 2020

Paper No: GT2020-14694

DOI: https://doi.org/10.1115/GT2020-14694

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Topics: Disks, Event history analysis, Failure, Fatigue life, Reliability, Turbines

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

Point Cloud to Parameter: An Inverse Geometric Approach to Probabilistic Design

Christopher Meckstroth, Jeffrey Brown

Proc. ASME. GT2019, Volume 7A: Structures and Dynamics, V07AT32A007, June 17–21, 2019

Paper No: GT2019-91652

DOI: https://doi.org/10.1115/GT2019-91652

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Topics: Design, Blades, Geometry, Dimensions, Manufacturing, Algorithms, Computer-aided design, Deformation, Finite element analysis, Gas turbines

Proceedings Papers

Quantification of Performance Uncertainty for a Transonic Compressor Rotor Using an Adaptive NIPC Method

Jiaqi Luo, Zhiheng Xia, Feng Liu

Proc. ASME. GT2019, Volume 7A: Structures and Dynamics, V07AT32A001, June 17–21, 2019

Paper No: GT2019-90316

DOI: https://doi.org/10.1115/GT2019-90316

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Topics: Compressors, Rotors, Uncertainty, Blades, Pressure, Turbomachinery, Chaos, Flow (Dynamics), Polynomials, Arches

Proceedings Papers

Probabilistic Fracture Mechanics Framework Including Crack Nucleation of Rotor Forging Flaws

Francesco Radaelli, Kai Kadau, Christian Amann, Peter Gumbsch

Proc. ASME. GT2019, Volume 7A: Structures and Dynamics, V07AT32A002, June 17–21, 2019

Paper No: GT2019-90418

DOI: https://doi.org/10.1115/GT2019-90418

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Topics: Forging, Fracture (Materials), Fracture mechanics, Nucleation (Physics), Rotors, Failure, Probability, Fatigue cracks, Cycles, Fatigue

Proceedings Papers

Accelerated Multi-Fidelity Emulator Modeling for Probabilistic Rotor Response Study

Harok Bae, Ian M. Boyd, Emily Carper, Jeff Brown

Proc. ASME. GT2019, Volume 7A: Structures and Dynamics, V07AT32A003, June 17–21, 2019

Paper No: GT2019-90513

DOI: https://doi.org/10.1115/GT2019-90513

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Topics: Modeling, Rotors, Blades

Proceedings Papers

Robust Optimization of Flexible Rotor Systems With Uncertain Parameters via Interval Analysis Method

Jie Hong, ZheFu Yang, YaoYu Ni, YanHong Ma

Proc. ASME. GT2019, Volume 7A: Structures and Dynamics, V07AT32A004, June 17–21, 2019

Paper No: GT2019-90586

DOI: https://doi.org/10.1115/GT2019-90586

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Topics: Optimization, Rotors, Uncertainty, Design, Stiffness, Stress, Bearings, Design methodology, Dynamic response, Electromagnetic scattering

Proceedings Papers

Bayesian Analysis of In-Situ High-Resolution X-Ray Diffraction Synchrotron Experiments of Ti-6Al-4V Specimens Undergoing Tensile Loading

Nicholas Armstrong, Peter A. Lynch, Sitarama R. Kada, Pavel Cizek, Justin A. Kimpton, Ross A. Antoniou

Proc. ASME. GT2019, Volume 7A: Structures and Dynamics, V07AT32A006, June 17–21, 2019

Paper No: GT2019-91230

DOI: https://doi.org/10.1115/GT2019-91230

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Topics: Resolution (Optics), X-ray diffraction, Damage, Dislocations, Fracture (Materials), Aircraft engines, Density, Stress, Transmission electron microscopy, X-rays

Proceedings Papers

A Gaussian Process Modeling Approach for Fast Robust Design With Uncertain Inputs

Kevin M. Ryan, Jesper Kristensen, You Ling, Sayan Ghosh, Isaac Asher, Liping Wang

Proc. ASME. GT2018, Volume 7A: Structures and Dynamics, V07AT32A012, June 11–15, 2018

Paper No: GT2018-77007

DOI: https://doi.org/10.1115/GT2018-77007

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Topics: Design, Modeling, Optimization, Uncertainty, Aircraft, Control equipment, Engineering design, Flight, Manufacturing, Optimization algorithms

Proceedings Papers

Using Statistical Calibration for Model Verification and Validation, Diagnosis of Model Inadequacy, and Improving Simulation Accuracy

Kevin OFlaherty, Zachary Graves, Lie Xiong, Mark Andrews

Proc. ASME. GT2018, Volume 7A: Structures and Dynamics, V07AT32A005, June 11–15, 2018

Paper No: GT2018-75807

DOI: https://doi.org/10.1115/GT2018-75807

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Topics: Calibration, Simulation, Design, Errors, Fatigue, Manufacturing, Materials properties, Model validation, Optimization, Random noise

Proceedings Papers

Application of Surrogate Models and Probabilistic Design Methodology to Assess Creep Growth Limit of an Uncooled Turbine Blade

Armin Hadadian, Sairam Prabhakar, Bjorn Sjodin, Keith Taylor

Proc. ASME. GT2018, Volume 7A: Structures and Dynamics, V07AT32A006, June 11–15, 2018

Paper No: GT2018-75854

DOI: https://doi.org/10.1115/GT2018-75854

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Topics: Creep, Design methodology, Turbine blades, Engines, Model development, Errors, Failure, Finite element analysis, Gas turbines, Machine learning

Proceedings Papers

Influences of Non-Destructive Inspection Simulation on Fracture Risk Assessment of Additively Manufactured Turbine Engine Components

Michael P. Enright, R. Craig McClung, James C. Sobotka, Jonathan P. Moody, John McFarland, Yi-Der Lee, Irving Gray, Joe Gray

Proc. ASME. GT2018, Volume 7A: Structures and Dynamics, V07AT32A013, June 11–15, 2018

Paper No: GT2018-77058

DOI: https://doi.org/10.1115/GT2018-77058

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Topics: Additive manufacturing, Fracture (Materials), Gas turbines, Nondestructive evaluation, Risk assessment, Simulation, Inspection, Computer software, Damage, Failure

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NARROW

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

On the Probabilistic Endurance Prediction Approach for Turbomachinery Blades and Vanes

Probabilistic Lifing Methods for Digital Assets

Stochastic Modelling and Analysis of Rotating Bladed Discs

Quantification of Low-Cycle Fatigue Life for a Gas Turbine Compressor Vane Carrier Under Varying Operating Conditions

Experimental LCF Study of a Probabilistically Optimized Double Notch Specimen Geometry for Validation of Deterministic and Probabilistic Design Concepts

A Probabilistic Model for Forging Flaw Crack Nucleation Processes

Probabilistic Fracture Mechanics for Mature Service Frame Rotors

Reliability Analysis on Fatigue Life of Turbine Disk Regarding for the Correlation Between Divided Zones

Stochastic Fatigue Life Prediction Based on a Reduced Data Set

Point Cloud to Parameter: An Inverse Geometric Approach to Probabilistic Design

Quantification of Performance Uncertainty for a Transonic Compressor Rotor Using an Adaptive NIPC Method

Probabilistic Fracture Mechanics Framework Including Crack Nucleation of Rotor Forging Flaws

Accelerated Multi-Fidelity Emulator Modeling for Probabilistic Rotor Response Study

Robust Optimization of Flexible Rotor Systems With Uncertain Parameters via Interval Analysis Method

Bayesian Analysis of In-Situ High-Resolution X-Ray Diffraction Synchrotron Experiments of Ti-6Al-4V Specimens Undergoing Tensile Loading

A Gaussian Process Modeling Approach for Fast Robust Design With Uncertain Inputs

Using Statistical Calibration for Model Verification and Validation, Diagnosis of Model Inadequacy, and Improving Simulation Accuracy

Application of Surrogate Models and Probabilistic Design Methodology to Assess Creep Growth Limit of an Uncooled Turbine Blade

Influences of Non-Destructive Inspection Simulation on Fracture Risk Assessment of Additively Manufactured Turbine Engine Components

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