Artificial intelligence
Machine Learning in Fiber Composites
| This lecture package delves into an advanced inverse modeling approach for predicting the carbon fiber properties using machine learning (ML) technique. The course covers the use of Gaussian Process Regression (GPR) to build a surrogate model that accurately predicts fiber properties based on data from unidirectional (UD) lamina. The framework's efficiency and accuracy are validated with real-world data, demonstrating its potential as a computational alternative to traditional methods. The package includes detailed explanations, case studies, and practical exercises in applying this ML-based approach to composite material analysis. |
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available on 2024/09/22