GT2021-58842 A Probabilistic Machine Learning Framework for Explicit Inverse Design of Industrial Gas Turbine Blades

GT2021-58842 A Probabilistic Machine Learning Framework for Explicit Inverse Design of Industrial Gas Turbine Blades

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Veröffentlicht in:ASME Turbo Expo (2021 : Online) Proceedings of ASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition ; Volume 9, B: Structures and dynamics: Fatigue, fracture, and life prediction; probabilistic methods; rotordynamics; structural mechanics and vibration
1. Verfasser: Ghosh, Sayan (VerfasserIn)
Weitere Verfasser: Andreoli, Valeria (VerfasserIn), Padmanabha, Govinda A. (VerfasserIn), Peng, Cheng (VerfasserIn), Atkinson, Steven (VerfasserIn), Pandita, Piyush (VerfasserIn), Vandeputte, Thomas (VerfasserIn), Zabaras, Nicholas (VerfasserIn), Wang, Liping (VerfasserIn)
Pages:2021
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2021
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