Monte-Carlo Dike Stability Database for Three Failure Processes

A database created by an extensive Monte Carlo analysis provides evidence for relations between geometry, material characteristics, hydrology and stability for three different failure processes. The database contains the parameter combinations that resulted in a stability factor (F) closest to the critical condition. It was created by Teun van Woerkom of Utrecht University using a coupled hydro-stability model.

Use Cases

• Estimate failure probabilities for dike stretches based on geometry, subsurface materials, and groundwater hydrology parameters.
• Analyze relations between dike stability factors and adverse loading conditions for soil slip and basal sliding mechanisms.
• Incorporate groundwater flow process uncertainties into dike stability assessments where detailed in-situ data is lacking.

Strengths

• Focuses on parameter combinations resulting in a stability factor closest to the critical condition (F=1).
• Models three different failure processes: soil slip and basal sliding mechanisms under adverse drained loading conditions.
• Based on a coupled hydro-stability model that integrates geometry, subsurface materials, and groundwater hydrology.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Utrecht University

Collection Method

Generated via Monte Carlo simulation using a coupled steady-state hydro-stability model.