Accelerating Structural Design and Optimization using Machine Learning
Machine learning techniques promise to greatly accelerate structural design and optimization. In this thesis, deep learning and active learning techniques are applied to different non-convex structural optimization problems. Finite Element Analysis (FEA) based standard optimization methods for aircr...
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Format: | Others |
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Virginia Tech
2021
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Online Access: | http://hdl.handle.net/10919/104114 |