Machine Learning Predicts FRP Failure Loads, Revolutionizing Energy Sector Maintenance
In a groundbreaking study that bridges the gap between advanced materials science and cutting-edge technology, researchers have harnessed the power of machine learning to predict the failure loads of damaged fiber-reinforced polymer (FRP) composites.
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