Machine learning driven damper for response control in vehicle-bridge interaction systems

Keyphrases

• Bridge Model 20%
• Bridge Vibration 40%
• Complex Vehicles 20%
• Computation Time 40%
• Control Strategy 40%
• Damper 100%
• Damping Ratio 20%
• Energy-based 100%
• Interaction Problem 20%
• Machine Learning 100%
• Passive Tuned Mass Damper 20%
• Predictive Algorithm 80%
• Predictive Control Algorithm 20%
• Random Forest Algorithm 80%
• Response Assessment 20%
• Response Control 100%
• Semi-active Tuned Mass Damper 100%
• Shinkansen 20%
• Time Delay 40%
• Time Prediction 20%
• Training Model 20%
• Tuned Mass Damper 20%
• Vehicle Vibration 20%
• Vehicle-bridge Interaction 20%
• Vehicle-bridge Interaction System 100%
• Vibration Control 20%
• Weighted Random Forest 80%

Engineering

• Active Tuned Mass Damper 100%
• Computational Time 40%
• Control Algorithm 20%
• Control Strategy 40%
• Controlled Bridge 40%
• Damping Ratio ζ 20%
• Induced Vibration 20%
• Learning System 100%
• Mass Damper 40%
• Predictive Control 20%
• Random Forest 80%
• Vibration Control 20%