A Bayesian network approach to assess underwater scour around bridge foundations

Earth and Planetary Sciences

• Scour 100%
• Foundation 100%
• Network 100%
• Scotland 50%
• Depth 40%
• Information 30%
• Monitoring System 30%
• Real Time 30%
• Inspection 20%
• Position (Location) 20%
• State 20%
• Flood 20%
• Estimate 20%
• River 20%
• Rail 10%
• Installing 10%
• Set 10%
• Flow Characteristics 10%
• Failure 10%
• Communication 10%
• Highway 10%
• Prediction 10%
• Infrastructure 10%
• Railway 10%
• Bias 10%
• Traffic 10%
• Science and Technology 10%
• Random Variable 10%
• Loss 10%
• Model 10%
• Political Economy 10%
• Cause 10%
• Monitoring 10%
• Constraint 10%
• Accuracy 10%
• Observation 10%
• River Flow 10%
• Occurrence 10%
• Assessment 10%

Engineering

• Networks 100%
• Foundations 100%
• Bridges 100%
• Scour Depth 40%
• Monitoring System 30%
• Rivers 20%
• Prediction 10%
• Economic Loss 10%
• Information Technology 10%
• Disruptions 10%
• Probabilistic Approach 10%
• Installation 10%
• Model Uncertainty 10%
• Railway 10%
• State Variable 10%
• Infrastructure 10%
• Railway Bridge 10%
• Accuracy 10%
• Nodes 10%
• Sensor 10%
• Random Variable ξ 10%
• Road 10%
• Visual Inspection 10%
• Inspection 10%
• River Flow 10%
• Flow Characteristic 10%