Scour Prediction Decision Tree for Marine Renewables (BRE/SCS-2 Hybrid)
The Scour Prediction Decision Tree for Marine Renewables (BRE/SCS-2 Hybrid) is a structured, flowchart-based engineering tool that integrates guidance from the UK’s Building Research Establishment (BRE) and the Scottish Government’s Scour Characterisation Scheme Version 2 (SCS-2) to systematically assess and predict local seabed scour around marine renewable energy (MRE) foundations—particularly tidal and offshore wind turbine monopiles, gravity bases, and mooring systems. It provides tiered, evidence-based recommendations for scour assessment methods—from empirical screening to numerical modelling—based on site-specific hydrodynamic, geotechnical, and structural parameters. Its hybrid nature ensures regulatory alignment with both UK industry best practice and Scottish statutory guidance.
📖 Overview
📑 Key Components
🎯 Applications
- ✓ Pre-consent environmental and geotechnical risk assessment for tidal stream arrays
- ✓ Design basis selection for scour protection (e.g., rock armour, geotextile mattresses)
- ✓ Justification of monitoring strategy scope and frequency in O&M plans
📐 Key Formulas
Critical Shields Parameter (θ_c)
θ_c = (τ_c) / [(ρ_s - ρ_w) g d_50]
Calculates the dimensionless critical shear stress required to initiate sediment motion; used to classify sediment mobility per SCS-2
Equilibrium Scour Depth (d_se) – BRE Monopile Equation
d_se = k_s × k_θ × k_h × k_d × D
Empirical prediction of maximum local scour depth around circular piles; k_s (sediment factor), k_θ (flow skewness), k_h (horseshoe vortex), k_d (depth-limited correction)
Bed Shear Stress (τ_b)
τ_b = 0.5 × ρ_w × C_d × U^2
Estimates time-averaged shear stress at seabed using depth-averaged current velocity (U), drag coefficient (C_d), and water density (ρ_w)