Simple module that implements Active learning Kriging methods for reliability analysis.
Three methods are present :
- AK-MCS : Active learning reliability method combining Kriging and Monte-Carlo Simulation
- AK-IS : Active learning reliability method combining Kriging and Importance Sampling
- AK-SS : Active learning reliability method combining Kriging and Subset Simulation
These methods are built on top of OpenTURNS classes for failure probability estimation and Kriging.
- numpy
- python > 3.7
- openturns > 1.18
A documentation, including examples is available here.