Machine learning (ML) based models for predicting the ultimate strength of rectangular concrete-filled steel tube (CFST) columns under eccentric loading

Keyphrases

• Ultimate Strength 100%
• Machine Learning Models 100%
• Eccentric Loading 100%
• Concrete-filled Steel Tube Column 100%
• Rectangular Concrete-filled Steel Tube 100%
• Concrete-filled Steel Tube 80%
• Prediction Accuracy 40%
• Design Codes 40%
• Neural Network 20%
• Three-machine 20%
• Regression Network 20%
• Realistic Scenario 20%
• Training Set 20%
• Failure Mechanism 20%
• Machine Learning Techniques 20%
• Concrete Strength 20%
• Strength Prediction 20%
• Structural Applications 20%
• Least Squares Support Vector Regression (LSSVR) 20%
• Regression Forest 20%
• Concentric Loading 20%
• Random Forest Regression 20%
• Complex Failures 20%

Engineering

• Ultimate Strength 100%
• Concrete Filled Steel Tube 100%
• Learning System 100%
• Design Code 40%
• Structural Application 20%
• Test Result 20%
• Accurate Prediction 20%
• Parametric Study 20%
• Machine Learning Method 20%
• Input Feature 20%
• Real Situation 20%
• Random Forest 20%
• Failure Mechanism 20%
• Support Vector Machine 20%