.. _sphx_glr_auto_reliability_sensitivity_reliability: .. _Reliability: Reliability ----------- .. raw:: html
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.. only:: html .. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_event_manipulation_thumb.png :alt: :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_event_manipulation.py` .. raw:: html
Simulate an Event
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.. only:: html .. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_estimate_probability_monte_carlo_thumb.png :alt: :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_estimate_probability_monte_carlo.py` .. raw:: html
Estimate a probability with Monte Carlo
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.. only:: html .. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_estimate_probability_randomized_qmc_thumb.png :alt: :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_estimate_probability_randomized_qmc.py` .. raw:: html
Use a randomized QMC algorithm
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.. only:: html .. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_estimate_probability_adaptive_directional_sampling_thumb.png :alt: :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_estimate_probability_adaptive_directional_sampling.py` .. raw:: html
Use the Adaptive Directional Stratification Algorithm
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.. only:: html .. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_post_analytical_importance_sampling_thumb.png :alt: :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_post_analytical_importance_sampling.py` .. raw:: html
Use the post-analytical importance sampling algorithm
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.. only:: html .. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_estimate_probability_directional_sampling_thumb.png :alt: :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_estimate_probability_directional_sampling.py` .. raw:: html
Use the Directional Sampling Algorithm
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.. only:: html .. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_probability_simulation_parametrization_thumb.png :alt: :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_probability_simulation_parametrization.py` .. raw:: html
Specify a simulation algorithm
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.. only:: html .. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_flood_model_thumb.png :alt: :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_flood_model.py` .. raw:: html
Estimate a flooding probability
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.. only:: html .. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_estimate_probability_importance_sampling_thumb.png :alt: :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_estimate_probability_importance_sampling.py` .. raw:: html
Use the Importance Sampling algorithm
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.. only:: html .. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_create_threshold_event_thumb.png :alt: :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_create_threshold_event.py` .. raw:: html
Create a threshold event
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.. only:: html .. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_axial_stressed_beam_quickstart_thumb.png :alt: :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_axial_stressed_beam_quickstart.py` .. raw:: html
Estimate a probability with Monte-Carlo on axial stressed beam: a quick start guide to reliability
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.. only:: html .. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_probability_simulation_results_thumb.png :alt: :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_probability_simulation_results.py` .. raw:: html
Exploitation of simulation algorithm results
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.. only:: html .. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_multi_form_thumb.png :alt: :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_multi_form.py` .. raw:: html
Use the FORM algorithm in case of several design points
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.. only:: html .. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_nais_thumb.png :alt: :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_nais.py` .. raw:: html
Non parametric Adaptive Importance Sampling (NAIS)
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.. only:: html .. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_subset_sampling_thumb.png :alt: :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_subset_sampling.py` .. raw:: html
Subset Sampling
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.. only:: html .. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_estimate_probability_form_thumb.png :alt: :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_estimate_probability_form.py` .. raw:: html
Use the FORM - SORM algorithms
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.. only:: html .. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_create_domain_event_thumb.png :alt: :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_create_domain_event.py` .. raw:: html
Create a domain event
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.. only:: html .. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_strong_maximum_test_thumb.png :alt: :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_strong_maximum_test.py` .. raw:: html
Test the design point with the Strong Maximum Test
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.. only:: html .. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_proba_system_event_thumb.png :alt: :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_proba_system_event.py` .. raw:: html
Time variant system reliability problem
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.. only:: html .. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_event_system_thumb.png :alt: :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_event_system.py` .. raw:: html
Create unions or intersections of events
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.. only:: html .. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_axial_stressed_beam_thumb.png :alt: :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_axial_stressed_beam.py` .. raw:: html
Axial stressed beam : comparing different methods to estimate a probability
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.. only:: html .. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_form_explained_thumb.png :alt: :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_form_explained.py` .. raw:: html
An illustrated example of a FORM probability estimate
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.. only:: html .. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_crossentropy_thumb.png :alt: :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_crossentropy.py` .. raw:: html
Cross Entropy Importance Sampling
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.. only:: html .. image:: /auto_reliability_sensitivity/reliability/images/thumb/sphx_glr_plot_estimate_probability_form_oscillator_thumb.png :alt: :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_estimate_probability_form_oscillator.py` .. raw:: html
Using the FORM - SORM algorithms on a nonlinear function
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.. toctree:: :hidden: /auto_reliability_sensitivity/reliability/plot_event_manipulation /auto_reliability_sensitivity/reliability/plot_estimate_probability_monte_carlo /auto_reliability_sensitivity/reliability/plot_estimate_probability_randomized_qmc /auto_reliability_sensitivity/reliability/plot_estimate_probability_adaptive_directional_sampling /auto_reliability_sensitivity/reliability/plot_post_analytical_importance_sampling /auto_reliability_sensitivity/reliability/plot_estimate_probability_directional_sampling /auto_reliability_sensitivity/reliability/plot_probability_simulation_parametrization /auto_reliability_sensitivity/reliability/plot_flood_model /auto_reliability_sensitivity/reliability/plot_estimate_probability_importance_sampling /auto_reliability_sensitivity/reliability/plot_create_threshold_event /auto_reliability_sensitivity/reliability/plot_axial_stressed_beam_quickstart /auto_reliability_sensitivity/reliability/plot_probability_simulation_results /auto_reliability_sensitivity/reliability/plot_multi_form /auto_reliability_sensitivity/reliability/plot_nais /auto_reliability_sensitivity/reliability/plot_subset_sampling /auto_reliability_sensitivity/reliability/plot_estimate_probability_form /auto_reliability_sensitivity/reliability/plot_create_domain_event /auto_reliability_sensitivity/reliability/plot_strong_maximum_test /auto_reliability_sensitivity/reliability/plot_proba_system_event /auto_reliability_sensitivity/reliability/plot_event_system /auto_reliability_sensitivity/reliability/plot_axial_stressed_beam /auto_reliability_sensitivity/reliability/plot_form_explained /auto_reliability_sensitivity/reliability/plot_crossentropy /auto_reliability_sensitivity/reliability/plot_estimate_probability_form_oscillator