Case Studies#
End-to-end worked examples on realistic engineering problems, authored and validated by the Deltares team. Each case study demonstrates a complete probabilistic workflow — from problem definition and uncertainty characterisation to reliability results and interpretation.
These examples are more detailed than the tutorials — they use realistic model parameters, discuss engineering context, and show how to interpret results in a professional setting.
Geotechnical
Assess the probability of failure of a gravity-based retaining wall under uncertain soil parameters. Combines FORM analysis with Monte Carlo.
How to connect D-Stability to a probabilistic workflow using the GEOLIB Python library. Demonstrates the effect of load variability and correlated soil parameters.
Probabilistic settlement analysis by coupling D-Settlement to the probabilistic engine via a Python wrapper. Propagate soil parameter uncertainty through a full settlement model.
Reliability analysis of a sheet pile wall using D-Sheetpiling as the structural model. Demonstrates how to wrap a commercial geotech solver and run FORM and Monte Carlo through it.
Slope stability reliability analysis driven by D-Stability. Uses the PTK Python wheel integration to evaluate the limit state function, enabling FORM and Monte Carlo runs directly against the D-Stability engine.
Flood Defences
Full assessment of a primary flood defence against two failure mechanisms: wave overtopping and internal erosion (piping). Shows how to combine failure probabilities into a system result aligned with the Dutch WBI assessment framework.
Compute a fragility curve for a hydraulic structure as a function of water level, accounting for uncertainty in structural resistance and load parameters.
Note
Examples marked coming soon are planned for upcoming releases. Want to suggest a case study or contribute one? Open a discussion on GitHub.