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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
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-16212
https://doi.org/10.1115/GT2020-16212
View Paper titled, Stochastic Modelling and Analysis of Rotating Bladed Discs
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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
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-14384
https://doi.org/10.1115/GT2020-14384
View Paper titled, Quantification of Low-Cycle Fatigue Life for a Gas Turbine Compressor Vane Carrier Under Varying Operating Conditions
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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
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-14557
https://doi.org/10.1115/GT2020-14557
View Paper titled, Experimental LCF Study of a Probabilistically Optimized Double Notch Specimen Geometry for Validation of Deterministic and Probabilistic Design Concepts
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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
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-14606
https://doi.org/10.1115/GT2020-14606
View Paper titled, A Probabilistic Model for Forging Flaw Crack Nucleation Processes
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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
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-14608
https://doi.org/10.1115/GT2020-14608
View Paper titled, Probabilistic Fracture Mechanics for Mature Service Frame Rotors
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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
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-14694
https://doi.org/10.1115/GT2020-14694
View Paper titled, Reliability Analysis on Fatigue Life of Turbine Disk Regarding for the Correlation Between Divided Zones
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Topics: Disks, Event history analysis, Failure, Fatigue life, Reliability, Turbines
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
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-16139
https://doi.org/10.1115/GT2020-16139
View Paper titled, Uncertainty Quantification and Missing Data for Turbomachinery With Probabilistic Equivalence and Arbitrary Polynomial Chaos, Applied to Scroll Compressors
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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
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-14013
https://doi.org/10.1115/GT2020-14013
View Paper titled, On the Probabilistic Endurance Prediction Approach for Turbomachinery Blades and Vanes
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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
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-16187
https://doi.org/10.1115/GT2020-16187
View Paper titled, Probabilistic Lifing Methods for Digital Assets
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Topics: Creep, Cycles, Damage, Design, Durability, Energy industry, Fatigue, Industrial gases, Instrumentation, Life extension
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
Publisher: American Society of Mechanical Engineers
Paper No: GT2019-90624
https://doi.org/10.1115/GT2019-90624
View Paper titled, Stochastic Fatigue Life Prediction Based on a Reduced Data Set
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Topics: Fatigue life, Cycles, Failure, Monte Carlo methods, Stress, Complex systems, Fatigue, High cycle fatigue, Weibull distribution
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
Publisher: American Society of Mechanical Engineers
Paper No: GT2019-91230
https://doi.org/10.1115/GT2019-91230
View Paper titled, Bayesian Analysis of In-Situ High-Resolution X-Ray Diffraction Synchrotron Experiments of Ti-6Al-4V Specimens Undergoing Tensile Loading
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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

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
Publisher: American Society of Mechanical Engineers
Paper No: GT2019-91652
https://doi.org/10.1115/GT2019-91652
View Paper titled, Point Cloud to Parameter: An Inverse Geometric Approach to Probabilistic Design
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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
Publisher: American Society of Mechanical Engineers
Paper No: GT2019-90316
https://doi.org/10.1115/GT2019-90316
View Paper titled, Quantification of Performance Uncertainty for a Transonic Compressor Rotor Using an Adaptive NIPC Method
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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
Publisher: American Society of Mechanical Engineers
Paper No: GT2019-90418
https://doi.org/10.1115/GT2019-90418
View Paper titled, Probabilistic Fracture Mechanics Framework Including Crack Nucleation of Rotor Forging Flaws
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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
Publisher: American Society of Mechanical Engineers
Paper No: GT2019-90513
https://doi.org/10.1115/GT2019-90513
View Paper titled, Accelerated Multi-Fidelity Emulator Modeling for Probabilistic Rotor Response Study
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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
Publisher: American Society of Mechanical Engineers
Paper No: GT2019-90586
https://doi.org/10.1115/GT2019-90586
View Paper titled, Robust Optimization of Flexible Rotor Systems With Uncertain Parameters via Interval Analysis Method
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Topics: Optimization, Rotors, Uncertainty, Design, Stiffness, Stress, Bearings, Design methodology, Dynamic response, Electromagnetic scattering
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
Publisher: American Society of Mechanical Engineers
Paper No: GT2018-77007
https://doi.org/10.1115/GT2018-77007
View Paper titled, A Gaussian Process Modeling Approach for Fast Robust Design With Uncertain Inputs
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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
Publisher: American Society of Mechanical Engineers
Paper No: GT2018-75807
https://doi.org/10.1115/GT2018-75807
View Paper titled, Using Statistical Calibration for Model Verification and Validation, Diagnosis of Model Inadequacy, and Improving Simulation Accuracy
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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
Publisher: American Society of Mechanical Engineers
Paper No: GT2018-75854
https://doi.org/10.1115/GT2018-75854
View Paper titled, Application of Surrogate Models and Probabilistic Design Methodology to Assess Creep Growth Limit of an Uncooled Turbine Blade
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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
Publisher: American Society of Mechanical Engineers
Paper No: GT2018-77058
https://doi.org/10.1115/GT2018-77058
View Paper titled, Influences of Non-Destructive Inspection Simulation on Fracture Risk Assessment of Additively Manufactured Turbine Engine Components
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Topics: Additive manufacturing, Fracture (Materials), Gas turbines, Nondestructive evaluation, Risk assessment, Simulation, Inspection, Computer software, Damage, Failure