:orphan: .. _sphx_glr_auto_reliability_sensitivity: .. _Reliability & Sensitivity: Reliability & Sensitivity ========================= .. raw:: html
.. _sphx_glr_auto_reliability_sensitivity_central_dispersion: .. _Central dispersion: Central dispersion ------------------ .. raw:: html
.. only:: html .. figure:: /auto_reliability_sensitivity/central_dispersion/images/thumb/sphx_glr_plot_estimate_moments_taylor_thumb.png :alt: Estimate moments from Taylor expansions :ref:`sphx_glr_auto_reliability_sensitivity_central_dispersion_plot_estimate_moments_taylor.py` .. raw:: html
.. toctree:: :hidden: /auto_reliability_sensitivity/central_dispersion/plot_estimate_moments_taylor .. raw:: html
.. only:: html .. figure:: /auto_reliability_sensitivity/central_dispersion/images/thumb/sphx_glr_plot_central_tendency_thumb.png :alt: Central tendency analysis on the cantilever beam example :ref:`sphx_glr_auto_reliability_sensitivity_central_dispersion_plot_central_tendency.py` .. raw:: html
.. toctree:: :hidden: /auto_reliability_sensitivity/central_dispersion/plot_central_tendency .. raw:: html
.. _sphx_glr_auto_reliability_sensitivity_reliability: .. _Reliability: Reliability ----------- .. raw:: html
.. only:: html .. figure:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_estimate_probability_lhs_thumb.png :alt: Estimate a probability with Latin Hypercube Sampling :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_estimate_probability_lhs.py` .. raw:: html
.. toctree:: :hidden: /auto_reliability_sensitivity/reliability/plot_estimate_probability_lhs .. raw:: html
.. only:: html .. figure:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_event_manipulation_thumb.png :alt: Event manipulation :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_event_manipulation.py` .. raw:: html
.. toctree:: :hidden: /auto_reliability_sensitivity/reliability/plot_event_manipulation .. raw:: html
.. only:: html .. figure:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_estimate_probability_monte_carlo_thumb.png :alt: Estimate a probability with Monte Carlo :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_estimate_probability_monte_carlo.py` .. raw:: html
.. toctree:: :hidden: /auto_reliability_sensitivity/reliability/plot_estimate_probability_monte_carlo .. raw:: html
.. only:: html .. figure:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_estimate_probability_randomized_qmc_thumb.png :alt: Estimate a probability using randomized QMC :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_estimate_probability_randomized_qmc.py` .. raw:: html
.. toctree:: :hidden: /auto_reliability_sensitivity/reliability/plot_estimate_probability_randomized_qmc .. raw:: html
.. only:: html .. figure:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_estimate_probability_directional_sampling_thumb.png :alt: Probability estimation: directional simulation :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_estimate_probability_directional_sampling.py` .. raw:: html
.. toctree:: :hidden: /auto_reliability_sensitivity/reliability/plot_estimate_probability_directional_sampling .. raw:: html
.. only:: html .. figure:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_post_analytical_importance_sampling_thumb.png :alt: Post analytical importance sampling :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_post_analytical_importance_sampling.py` .. raw:: html
.. toctree:: :hidden: /auto_reliability_sensitivity/reliability/plot_post_analytical_importance_sampling .. raw:: html
.. only:: html .. figure:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_flood_model_thumb.png :alt: Estimate a flooding probability :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_flood_model.py` .. raw:: html
.. toctree:: :hidden: /auto_reliability_sensitivity/reliability/plot_flood_model .. raw:: html
.. only:: html .. figure:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_probability_simulation_parametrization_thumb.png :alt: Parametrization of a simulation algorithm :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_probability_simulation_parametrization.py` .. raw:: html
.. toctree:: :hidden: /auto_reliability_sensitivity/reliability/plot_probability_simulation_parametrization .. raw:: html
.. only:: html .. figure:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_estimate_probability_importance_sampling_thumb.png :alt: Probability estimation with importance sampling simulation on cantilever beam example :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_estimate_probability_importance_sampling.py` .. raw:: html
.. toctree:: :hidden: /auto_reliability_sensitivity/reliability/plot_estimate_probability_importance_sampling .. raw:: html
.. only:: html .. figure:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_axial_stressed_beam_quickstart_thumb.png :alt: Estimate a probability with Monte-Carlo on axial stressed beam: a quick start guide to reliability :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_axial_stressed_beam_quickstart.py` .. raw:: html
.. toctree:: :hidden: /auto_reliability_sensitivity/reliability/plot_axial_stressed_beam_quickstart .. raw:: html
.. only:: html .. figure:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_estimate_probability_form_thumb.png :alt: Estimate a probability with FORM :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_estimate_probability_form.py` .. raw:: html
.. toctree:: :hidden: /auto_reliability_sensitivity/reliability/plot_estimate_probability_form .. raw:: html
.. only:: html .. figure:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_probability_simulation_results_thumb.png :alt: Exploitation of simulation algorithm results :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_probability_simulation_results.py` .. raw:: html
.. toctree:: :hidden: /auto_reliability_sensitivity/reliability/plot_probability_simulation_results .. raw:: html
.. only:: html .. figure:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_event_system_thumb.png :alt: System events: unions or intersections of events :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_event_system.py` .. raw:: html
.. toctree:: :hidden: /auto_reliability_sensitivity/reliability/plot_event_system .. raw:: html
.. only:: html .. figure:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_subsetSampling_thumb.png :alt: Subset Sampling :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_subsetSampling.py` .. raw:: html
.. toctree:: :hidden: /auto_reliability_sensitivity/reliability/plot_subsetSampling .. raw:: html
.. only:: html .. figure:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_strong_maximum_test_thumb.png :alt: Strong Maximum Test design point validation :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_strong_maximum_test.py` .. raw:: html
.. toctree:: :hidden: /auto_reliability_sensitivity/reliability/plot_strong_maximum_test .. raw:: html
.. only:: html .. figure:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_probaSystemEvent_thumb.png :alt: Time variant system reliability problem :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_probaSystemEvent.py` .. raw:: html
.. toctree:: :hidden: /auto_reliability_sensitivity/reliability/plot_probaSystemEvent .. raw:: html
.. only:: html .. figure:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_axial_stressed_beam_thumb.png :alt: Axial stressed beam : comparing different methods to estimate a probability :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_axial_stressed_beam.py` .. raw:: html
.. toctree:: :hidden: /auto_reliability_sensitivity/reliability/plot_axial_stressed_beam .. raw:: html
.. _sphx_glr_auto_reliability_sensitivity_reliability_processes: .. _Reliability processes: Reliability processes --------------------- .. raw:: html
.. only:: html .. figure:: /auto_reliability_sensitivity/reliability_processes/images/thumb/sphx_glr_plot_event_process_thumb.png :alt: Create an event based on a process :ref:`sphx_glr_auto_reliability_sensitivity_reliability_processes_plot_event_process.py` .. raw:: html
.. toctree:: :hidden: /auto_reliability_sensitivity/reliability_processes/plot_event_process .. raw:: html
.. only:: html .. figure:: /auto_reliability_sensitivity/reliability_processes/images/thumb/sphx_glr_plot_estimate_probability_monte_carlo_process_thumb.png :alt: Estimate a process event probability :ref:`sphx_glr_auto_reliability_sensitivity_reliability_processes_plot_estimate_probability_monte_carlo_process.py` .. raw:: html
.. toctree:: :hidden: /auto_reliability_sensitivity/reliability_processes/plot_estimate_probability_monte_carlo_process .. raw:: html
.. _sphx_glr_auto_reliability_sensitivity_sensitivity_analysis: .. _Sensitivity analysis: Sensitivity analysis -------------------- .. raw:: html
.. only:: html .. figure:: /auto_reliability_sensitivity/sensitivity_analysis/images/thumb/sphx_glr_plot_sensitivity_fast_thumb.png :alt: FAST sensitivity indices :ref:`sphx_glr_auto_reliability_sensitivity_sensitivity_analysis_plot_sensitivity_fast.py` .. raw:: html
.. toctree:: :hidden: /auto_reliability_sensitivity/sensitivity_analysis/plot_sensitivity_fast .. raw:: html
.. only:: html .. figure:: /auto_reliability_sensitivity/sensitivity_analysis/images/thumb/sphx_glr_plot_sensitivity_cobweb_thumb.png :alt: Cobweb graph as sensitivity tool :ref:`sphx_glr_auto_reliability_sensitivity_sensitivity_analysis_plot_sensitivity_cobweb.py` .. raw:: html
.. toctree:: :hidden: /auto_reliability_sensitivity/sensitivity_analysis/plot_sensitivity_cobweb .. raw:: html
.. only:: html .. figure:: /auto_reliability_sensitivity/sensitivity_analysis/images/thumb/sphx_glr_plot_functional_chaos_sensitivity_thumb.png :alt: Sobol' sensitivity indices from chaos :ref:`sphx_glr_auto_reliability_sensitivity_sensitivity_analysis_plot_functional_chaos_sensitivity.py` .. raw:: html
.. toctree:: :hidden: /auto_reliability_sensitivity/sensitivity_analysis/plot_functional_chaos_sensitivity .. raw:: html
.. only:: html .. figure:: /auto_reliability_sensitivity/sensitivity_analysis/images/thumb/sphx_glr_plot_sensitivity_ancova_thumb.png :alt: ANCOVA sensitivity indices :ref:`sphx_glr_auto_reliability_sensitivity_sensitivity_analysis_plot_sensitivity_ancova.py` .. raw:: html
.. toctree:: :hidden: /auto_reliability_sensitivity/sensitivity_analysis/plot_sensitivity_ancova .. raw:: html
.. only:: html .. figure:: /auto_reliability_sensitivity/sensitivity_analysis/images/thumb/sphx_glr_plot_sensitivity_sobol_thumb.png :alt: Estimate Sobol' indices for the Ishigami function by a sampling method: a quick start guide to sensitivity analysis :ref:`sphx_glr_auto_reliability_sensitivity_sensitivity_analysis_plot_sensitivity_sobol.py` .. raw:: html
.. toctree:: :hidden: /auto_reliability_sensitivity/sensitivity_analysis/plot_sensitivity_sobol .. raw:: html
.. _sphx_glr_auto_reliability_sensitivity_design_of_experiments: .. _Design of experiments: Design of experiments --------------------- .. raw:: html
.. only:: html .. figure:: /auto_reliability_sensitivity/design_of_experiments/images/thumb/sphx_glr_plot_composite_experiment_thumb.png :alt: Create a composite design of experiments :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_composite_experiment.py` .. raw:: html
.. toctree:: :hidden: /auto_reliability_sensitivity/design_of_experiments/plot_composite_experiment .. raw:: html
.. only:: html .. figure:: /auto_reliability_sensitivity/design_of_experiments/images/thumb/sphx_glr_plot_monte_carlo_experiment_thumb.png :alt: Create a Monte Carlo design of experiments :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_monte_carlo_experiment.py` .. raw:: html
.. toctree:: :hidden: /auto_reliability_sensitivity/design_of_experiments/plot_monte_carlo_experiment .. raw:: html
.. only:: html .. figure:: /auto_reliability_sensitivity/design_of_experiments/images/thumb/sphx_glr_plot_probabilistic_design_thumb.png :alt: Probabilistic design of experiments :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_probabilistic_design.py` .. raw:: html
.. toctree:: :hidden: /auto_reliability_sensitivity/design_of_experiments/plot_probabilistic_design .. raw:: html
.. only:: html .. figure:: /auto_reliability_sensitivity/design_of_experiments/images/thumb/sphx_glr_plot_gauss_product_experiment_thumb.png :alt: Create a Gauss product design :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_gauss_product_experiment.py` .. raw:: html
.. toctree:: :hidden: /auto_reliability_sensitivity/design_of_experiments/plot_gauss_product_experiment .. raw:: html
.. only:: html .. figure:: /auto_reliability_sensitivity/design_of_experiments/images/thumb/sphx_glr_plot_mixed_design_thumb.png :alt: Mixed deterministic and probabilistic design of experiments :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_mixed_design.py` .. raw:: html
.. toctree:: :hidden: /auto_reliability_sensitivity/design_of_experiments/plot_mixed_design .. raw:: html
.. only:: html .. figure:: /auto_reliability_sensitivity/design_of_experiments/images/thumb/sphx_glr_plot_design_of_experiment_continuous_discrete_thumb.png :alt: Create a design of experiments with discrete and continuous variables :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_design_of_experiment_continuous_discrete.py` .. raw:: html
.. toctree:: :hidden: /auto_reliability_sensitivity/design_of_experiments/plot_design_of_experiment_continuous_discrete .. raw:: html
.. only:: html .. figure:: /auto_reliability_sensitivity/design_of_experiments/images/thumb/sphx_glr_plot_plot_design_thumb.png :alt: The PlotDesign method :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_plot_design.py` .. raw:: html
.. toctree:: :hidden: /auto_reliability_sensitivity/design_of_experiments/plot_plot_design .. raw:: html
.. only:: html .. figure:: /auto_reliability_sensitivity/design_of_experiments/images/thumb/sphx_glr_plot_deterministic_design_thumb.png :alt: Deterministic design of experiments :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_deterministic_design.py` .. raw:: html
.. toctree:: :hidden: /auto_reliability_sensitivity/design_of_experiments/plot_deterministic_design .. raw:: html
.. only:: html .. figure:: /auto_reliability_sensitivity/design_of_experiments/images/thumb/sphx_glr_plot_low_discrepancy_sequence_thumb.png :alt: Generate low discrepancy sequences :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_low_discrepancy_sequence.py` .. raw:: html
.. toctree:: :hidden: /auto_reliability_sensitivity/design_of_experiments/plot_low_discrepancy_sequence .. raw:: html
.. only:: html .. figure:: /auto_reliability_sensitivity/design_of_experiments/images/thumb/sphx_glr_plot_design_of_experiments_thumb.png :alt: Various design of experiments in OpenTURNS :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_design_of_experiments.py` .. raw:: html
.. toctree:: :hidden: /auto_reliability_sensitivity/design_of_experiments/plot_design_of_experiments .. raw:: html
.. only:: html .. figure:: /auto_reliability_sensitivity/design_of_experiments/images/thumb/sphx_glr_plot_optimal_lhs_thumb.png :alt: Optimal LHS designs :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_optimal_lhs.py` .. raw:: html
.. toctree:: :hidden: /auto_reliability_sensitivity/design_of_experiments/plot_optimal_lhs .. raw:: html
.. only :: html .. container:: sphx-glr-footer :class: sphx-glr-footer-gallery .. container:: sphx-glr-download sphx-glr-download-python :download:`Download all examples in Python source code: auto_reliability_sensitivity_python.zip ` .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download all examples in Jupyter notebooks: auto_reliability_sensitivity_jupyter.zip ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_