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Weighted Unsupervised Domain Adaptation Considering Geometry Features and Engineering Performance of 3D Design Data
The developed bi-weighting strategy based on the geometry features and engineering performance of engineering structures is incorporated into the training process.
Performance Comparison of Design Optimization and Deep Learning-based Inverse Design
Surrogate model-based optimization has been increasingly used in the field of engineering design.
Topology Optimization via Machine Learning and Deep Learning: A Review
Topology optimization (TO) is a method of deriving an optimal design that satisfies a given load and boundary conditions within a design domain.
Wheel Impact Test by Deep Learning: Prediction of Location and Magnitude of Maximum Stress
The proposed model can replace the impact test in the early wheel-development stage by predicting the impact performance in real-time and can be used without domain knowledge.
