Using Bayesian networks for the assessment of underwater scour for road and railway bridges

Earth and Planetary Sciences

• Highway 100%
• Scour 100%
• Railway 100%
• Network 100%
• Assessment 100%
• Depth 41%
• Information 33%
• Scotland 33%
• Monitoring System 25%
• Estimate 25%
• Real Time 25%
• Inspection 16%
• Position (Location) 16%
• State 16%
• Flood 16%
• Loss 16%
• Model 16%
• River 16%
• Monitoring 16%
• Rail 8%
• Set 8%
• Flow Characteristics 8%
• Failure 8%
• Communication 8%
• Prediction 8%
• Infrastructure 8%
• Bias 8%
• Traffic 8%
• Science and Technology 8%
• Random Variable 8%
• Building 8%
• Foundation 8%
• Political Economy 8%
• Cause 8%
• Constraint 8%
• Accuracy 8%
• Observation 8%
• River Flow 8%
• Occurrence 8%

Engineering

• Networks 100%
• Railway Bridge 100%
• Road 100%
• Bridges 41%
• Scour Depth 33%
• Monitoring System 25%
• Rivers 16%
• Prediction 8%
• Economic Loss 8%
• Foundations 8%
• Demonstrates 8%
• Information Technology 8%
• Hazards 8%
• Disruptions 8%
• Probabilistic Approach 8%
• Losses 8%
• Model Uncertainty 8%
• Models 8%
• Railway 8%
• State Variable 8%
• Infrastructure 8%
• Accuracy 8%
• Nodes 8%
• Buildings 8%
• Sensor 8%
• Random Variable ξ 8%
• Visual Inspection 8%
• Inspection 8%
• River Flow 8%
• Flow Characteristic 8%
• Limited Number 8%