Reliability algorithms and results

Run FORM, SORM, simulation, sensitivity and system-reliability analyses.

Public entry points

Object	Purpose
FORM	Find a design point and return convergence diagnostics.
SORM	Fit local curvature around a converged FORM point.
CrudeMonteCarlo	Estimate the physical event by direct sampling.
ImportanceSampling	Concentrate weighted samples near a FORM point.
LineSampling	Estimate probability through line intersections.
SubsetSimulation	Reach rare events through conditional samples.
SystemFORM	Combine component tangent models in a shared space.
pystra.results	Immutable records returned by every analysis’s run().

Use it: Choosing a reliability method · Comparing FORM, SORM and simulation · FORM, SORM and design-point diagnostics

Module details

pystra.reliability.form	First-order reliability analysis using a design-point search.
pystra.results	Immutable records returned by every reliability analysis.
pystra.reliability.sorm	Second-order reliability approximations at a FORM design point.
pystra.reliability.monte_carlo	Monte Carlo reliability estimates and sampled response distributions.
pystra.reliability.importance_sampling	Importance sampling about the FORM design point.
pystra.reliability.line_sampling	Line Sampling reliability analysis.
pystra.reliability.subset_simulation	Subset Simulation reliability analysis.
pystra.reliability.sensitivity	Sensitivity analysis of the reliability index.
pystra.systems	System reliability limit-state composition.
pystra.reliability.system_form	Component FORM approximation for series and parallel failure events.
pystra.reliability.strong_maximum	Sphere-based diagnostic for competing FORM design regions.