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What is ML Prediction of Seismic Response in Steel Tanks about?

This study introduces a machine learning approach to predict the seismic response of elevated steel tanks, evaluating various models including Random Forest and Histogram Gradient Boosting. The research highlights the effectiveness of these models in enhancing structural safety and optimizing design against seismic hazards, with the HGB model demonstrating the best performance. Key findings indicate that the height of the liquid and intensity measures are critical factors influencing the seismic response.

Author

linx58842

Language

EN