Novel probabilistic approach to assessing barge-bridge collision damage based on vibration measurements through transitional Markov chain Monte Carlo sampling

Keyphrases

• Advanced Statistical 20%
• Barge-bridge Collision 100%
• Bayesian Framework 20%
• Bridge Damage 20%
• Collision Accident 20%
• Collision Conditions 40%
• Collision Damage 100%
• Condition Assessment 20%
• Detour 20%
• Economic Loss 40%
• Fast Evaluation 20%
• Finite Element Model 20%
• Future Research Needs 20%
• Invisible 20%
• Major Contributor 20%
• Monte Carlo (MC) Simulation 100%
• Partial Damage 20%
• Post-collision 40%
• Potential Capacity 20%
• Probabilistic Approach 100%
• Probabilistic Characteristics 20%
• Probabilistic Framework 20%
• Probability Distribution 20%
• Reliable Assessments 20%
• Safe Operation 20%
• Simulation Example 20%
• Statistical Distribution 20%
• Statistical Sampling Algorithms 20%
• Structural Integrity 20%
• Traffic Delay 20%
• Transitional Markov Chain Monte Carlo (TMCMC) 100%
• United States 20%
• Vibration Measurement 100%
• Waterways 20%

Engineering

• Applicability 50%
• Condition Assessment 50%
• Economic Loss 100%
• Finite Element Modeling 50%
• Limitations 50%
• Probabilistic Approach 100%
• Probabilistic Framework 100%
• Reliable Assessment 50%
• Research Need 50%
• Safe Operation 50%
• Simulation Example 50%
• Simulation Result 50%
• Statistical Distribution 50%
• Structural Integrity 50%
• Vibration Measurement 100%
• Waterway 50%