About this document
ML Models for Shear Strength of FRP Beams by Tigon Vo Ngoc is a document available to read on EtoBox.
The document discusses machine learning models for predicting the shear strength of fiber reinforced polymer (FRP) reinforced concrete beams. It analyzes three models - M5-Tree, extreme learning machine, and random forest - based on 112 beam tests. The M5-Tree model using nine input parameters performed best with an R^2 of 0.9313 and RMSE of 35.5083 kN. FRP composites are increasingly used in concrete beams due to corrosion resistance, but have different shear strength mechanisms than steel-reinforced beams
- Author
- Tigon Vo Ngoc
- Language
- EN