Yanan Sun

Interstory Drift Ratio Prediction of Steel Frames via Interpretable Machine Learning and Systematic Ground Motion Augmentation

To overcome the dual bottlenecks of scarce actual strong earthquake records and high computational costs of nonlinear time history analysis, this study proposes a fast prediction method for structural nonlinear response that integrates systematic seismic sample expansion and machine learning technology by studying matu...