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Steven Atkinson
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Journal Articles

Inverse Aerodynamic Design of Gas Turbine Blades Using Probabilistic Machine Learning

Sayan Ghosh, Govinda Anantha Padmanabha, Cheng Peng, Valeria Andreoli, Steven Atkinson, Piyush Pandita, Thomas Vandeputte, Nicholas Zabaras, Liping Wang
Journal: Journal of Mechanical Design
Article Type: Research Papers
J. Mech. Des. February 2022, 144(2): 021706.
Paper No: MD-21-1275
DOI: https://doi.org/10.1115/1.4052301
Published Online: September 21, 2021
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Topics: Design, Modeling, Machine learning, Blades, Computational fluid dynamics
Proceedings Papers

A Probabilistic Machine Learning Framework for Explicit Inverse Design of Industrial Gas Turbine Blades

Sayan Ghosh, Valeria Andreoli, Govinda A. Padmanabha, Cheng Peng, Steven Atkinson, Piyush Pandita, Thomas Vandeputte, Nicholas Zabaras, Liping Wang
Proc. ASME. GT2021, Volume 9B: Structures and Dynamics — Fatigue, Fracture, and Life Prediction; Probabilistic Methods; Rotordynamics; Structural Mechanics and Vibration, V09BT27A003, June 7–11, 2021
Paper No: GT2021-58842
DOI: https://doi.org/10.1115/GT2021-58842
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Topics: Design, Industrial gases, Machine learning, Turbine blades
Journal Articles

Advances in Bayesian Probabilistic Modeling for Industrial Applications

Sayan Ghosh, Piyush Pandita, Steven Atkinson, Waad Subber, Yiming Zhang, Natarajan Chennimalai Kumar, Suryarghya Chakrabarti, Liping Wang
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. September 2020, 6(3): 030904.
Paper No: RISK-19-1074
DOI: https://doi.org/10.1115/1.4046747
Published Online: May 12, 2020
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Topics: Design, Modeling, Sensitivity analysis, Transients (Dynamics), Uncertainty, Calibration