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These pages document PySTRA 2.0. The 1.x documentation is at pystra.github.io/pystra.
PySTRA 2.0.0 documentation - Home PySTRA 2.0.0 documentation - Home
2.0.0
  • Get started
  • What’s new in PySTRA 2.0
  • User guide
  • Examples
  • API reference
    • Theory
    • Migrating from 1.x to 2.0
    • Changelog
    • References
    • Contributing to PySTRA
  • GitHub
  • Twitter
  • Get started
  • What’s new in PySTRA 2.0
  • User guide
  • Examples
  • API reference
  • Theory
  • Migrating from 1.x to 2.0
  • Changelog
  • References
  • Contributing to PySTRA
  • GitHub
  • Twitter

Section Navigation

  • Getting started
    • A first reliability analysis
    • Comparing FORM, SORM and simulation
    • Using SciPy distributions
    • Reliability with an external finite-element model
  • Reliability methods and diagnostics
    • Simulation methods for reliability analysis
    • Reliability sensitivities
    • Direct differentiation of the limit state
    • Checking a FORM design point
    • Distribution adapters and analysis cost
  • Systems and dependence
    • Dependence and probability transformations
    • System reliability
    • Rosenblatt ordering in system reliability
  • Code calibration and engineering decisions
    • Load combinations and FBC processes
    • Code calibration using normalized reliability
    • Calibrating partial and combination factors
    • Steel-bar design decisions and LQI acceptability
    • Calibrating target-reliability tables
  • Advanced methods: active learning and benchmarks
    • Active learning for reliability analysis
    • The hat-function benchmark
    • The 23-bar truss benchmark
    • PC-Kriging, bootstrap voting and importance sampling
    • Active learning with subset simulation
  • Benchmark catalogue
  • Examples
  • Getting started

Getting started#

Build a stochastic model, define a limit state and run a first reliability analysis. Then explore additional distributions and their parameterization, and evaluate a limit state with an external finite-element solver.

  • A first reliability analysis
  • Comparing FORM, SORM and simulation
  • Using SciPy distributions
  • Reliability with an external finite-element model

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Examples

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A first reliability analysis
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