:orphan:
.. _Reliability:
Reliability
===========
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Central dispersion
------------------
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.. image:: /auto_reliability/central_dispersion/images/thumb/sphx_glr_plot_expectation_simulation_algorithm_thumb.svg
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:ref:`sphx_glr_auto_reliability_central_dispersion_plot_expectation_simulation_algorithm.py`
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Evaluate the mean of a random vector by simulations
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.. image:: /auto_reliability/central_dispersion/images/thumb/sphx_glr_plot_central_tendency_thumb.svg
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:ref:`sphx_glr_auto_reliability_central_dispersion_plot_central_tendency.py`
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Analyse the central tendency of a cantilever beam
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.. image:: /auto_reliability/central_dispersion/images/thumb/sphx_glr_plot_estimate_moments_taylor_thumb.svg
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:ref:`sphx_glr_auto_reliability_central_dispersion_plot_estimate_moments_taylor.py`
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Estimate moments from Taylor expansions
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Reliability analysis
--------------------
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.. image:: /auto_reliability/reliability_analysis/images/thumb/sphx_glr_plot_event_manipulation_thumb.png
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:ref:`sphx_glr_auto_reliability_reliability_analysis_plot_event_manipulation.py`
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Simulate an Event
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.. image:: /auto_reliability/reliability_analysis/images/thumb/sphx_glr_plot_estimate_probability_randomized_qmc_thumb.png
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:ref:`sphx_glr_auto_reliability_reliability_analysis_plot_estimate_probability_randomized_qmc.py`
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Use a randomized QMC algorithm
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.. image:: /auto_reliability/reliability_analysis/images/thumb/sphx_glr_plot_estimate_probability_monte_carlo_thumb.png
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:ref:`sphx_glr_auto_reliability_reliability_analysis_plot_estimate_probability_monte_carlo.py`
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Estimate a probability with Monte Carlo
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.. image:: /auto_reliability/reliability_analysis/images/thumb/sphx_glr_plot_estimate_probability_adaptive_directional_sampling_thumb.png
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:ref:`sphx_glr_auto_reliability_reliability_analysis_plot_estimate_probability_adaptive_directional_sampling.py`
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Use the Adaptive Directional Stratification Algorithm
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.. image:: /auto_reliability/reliability_analysis/images/thumb/sphx_glr_plot_post_analytical_importance_sampling_thumb.png
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:ref:`sphx_glr_auto_reliability_reliability_analysis_plot_post_analytical_importance_sampling.py`
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Use the post-analytical importance sampling algorithm
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.. image:: /auto_reliability/reliability_analysis/images/thumb/sphx_glr_plot_estimate_probability_directional_sampling_thumb.svg
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:ref:`sphx_glr_auto_reliability_reliability_analysis_plot_estimate_probability_directional_sampling.py`
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Use the Directional Sampling Algorithm
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.. image:: /auto_reliability/reliability_analysis/images/thumb/sphx_glr_plot_flood_model_thumb.svg
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:ref:`sphx_glr_auto_reliability_reliability_analysis_plot_flood_model.py`
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Estimate a flooding probability
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.. image:: /auto_reliability/reliability_analysis/images/thumb/sphx_glr_plot_create_threshold_event_thumb.svg
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:ref:`sphx_glr_auto_reliability_reliability_analysis_plot_create_threshold_event.py`
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Create a threshold event
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.. image:: /auto_reliability/reliability_analysis/images/thumb/sphx_glr_plot_probability_simulation_parametrization_thumb.png
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:ref:`sphx_glr_auto_reliability_reliability_analysis_plot_probability_simulation_parametrization.py`
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Specify a simulation algorithm
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.. image:: /auto_reliability/reliability_analysis/images/thumb/sphx_glr_plot_estimate_probability_importance_sampling_thumb.svg
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:ref:`sphx_glr_auto_reliability_reliability_analysis_plot_estimate_probability_importance_sampling.py`
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Use the Importance Sampling algorithm
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.. image:: /auto_reliability/reliability_analysis/images/thumb/sphx_glr_plot_axial_stressed_beam_quickstart_thumb.svg
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:ref:`sphx_glr_auto_reliability_reliability_analysis_plot_axial_stressed_beam_quickstart.py`
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Estimate a probability with Monte-Carlo on axial stressed beam: a quick start guide to reliability
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.. image:: /auto_reliability/reliability_analysis/images/thumb/sphx_glr_plot_stiffened_panel_thumb.svg
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:ref:`sphx_glr_auto_reliability_reliability_analysis_plot_stiffened_panel.py`
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Estimate a buckling probability
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.. image:: /auto_reliability/reliability_analysis/images/thumb/sphx_glr_plot_probability_simulation_results_thumb.svg
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:ref:`sphx_glr_auto_reliability_reliability_analysis_plot_probability_simulation_results.py`
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Exploitation of simulation algorithm results
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.. image:: /auto_reliability/reliability_analysis/images/thumb/sphx_glr_plot_multi_form_thumb.svg
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:ref:`sphx_glr_auto_reliability_reliability_analysis_plot_multi_form.py`
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Use the FORM algorithm in case of several design points
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.. image:: /auto_reliability/reliability_analysis/images/thumb/sphx_glr_plot_subset_sampling_thumb.svg
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:ref:`sphx_glr_auto_reliability_reliability_analysis_plot_subset_sampling.py`
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Subset Sampling
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.. image:: /auto_reliability/reliability_analysis/images/thumb/sphx_glr_plot_estimate_probability_form_thumb.svg
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:ref:`sphx_glr_auto_reliability_reliability_analysis_plot_estimate_probability_form.py`
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Use the FORM - SORM algorithms
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.. image:: /auto_reliability/reliability_analysis/images/thumb/sphx_glr_plot_create_domain_event_thumb.svg
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:ref:`sphx_glr_auto_reliability_reliability_analysis_plot_create_domain_event.py`
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Create a domain event
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.. image:: /auto_reliability/reliability_analysis/images/thumb/sphx_glr_plot_nais_thumb.svg
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:ref:`sphx_glr_auto_reliability_reliability_analysis_plot_nais.py`
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Non parametric Adaptive Importance Sampling (NAIS)
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.. image:: /auto_reliability/reliability_analysis/images/thumb/sphx_glr_plot_strong_maximum_test_thumb.png
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:ref:`sphx_glr_auto_reliability_reliability_analysis_plot_strong_maximum_test.py`
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Test the design point with the Strong Maximum Test
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.. image:: /auto_reliability/reliability_analysis/images/thumb/sphx_glr_plot_proba_system_event_thumb.svg
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:ref:`sphx_glr_auto_reliability_reliability_analysis_plot_proba_system_event.py`
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Time variant system reliability problem
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.. image:: /auto_reliability/reliability_analysis/images/thumb/sphx_glr_plot_line_sampling_thumb.svg
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:ref:`sphx_glr_auto_reliability_reliability_analysis_plot_line_sampling.py`
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Estimate a probability using Line Sampling
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.. image:: /auto_reliability/reliability_analysis/images/thumb/sphx_glr_plot_event_system_thumb.svg
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:ref:`sphx_glr_auto_reliability_reliability_analysis_plot_event_system.py`
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Create unions or intersections of events
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.. image:: /auto_reliability/reliability_analysis/images/thumb/sphx_glr_plot_axial_stressed_beam_thumb.svg
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:ref:`sphx_glr_auto_reliability_reliability_analysis_plot_axial_stressed_beam.py`
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Axial stressed beam : comparing different methods to estimate a probability
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.. image:: /auto_reliability/reliability_analysis/images/thumb/sphx_glr_plot_crossentropy_thumb.svg
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:ref:`sphx_glr_auto_reliability_reliability_analysis_plot_crossentropy.py`
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Cross Entropy Importance Sampling
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.. image:: /auto_reliability/reliability_analysis/images/thumb/sphx_glr_plot_form_explained_thumb.svg
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:ref:`sphx_glr_auto_reliability_reliability_analysis_plot_form_explained.py`
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An illustrated example of a FORM probability estimate
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.. image:: /auto_reliability/reliability_analysis/images/thumb/sphx_glr_plot_estimate_probability_form_oscillator_thumb.svg
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:ref:`sphx_glr_auto_reliability_reliability_analysis_plot_estimate_probability_form_oscillator.py`
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Using the FORM - SORM algorithms on a nonlinear function
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Reliability processes
---------------------
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.. image:: /auto_reliability/reliability_processes/images/thumb/sphx_glr_plot_event_process_thumb.png
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:ref:`sphx_glr_auto_reliability_reliability_processes_plot_event_process.py`
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Create an event based on a process
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.. image:: /auto_reliability/reliability_processes/images/thumb/sphx_glr_plot_estimate_probability_monte_carlo_process_thumb.svg
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:ref:`sphx_glr_auto_reliability_reliability_processes_plot_estimate_probability_monte_carlo_process.py`
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Estimate a process-based event probability
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.. image:: /auto_reliability/reliability_processes/images/thumb/sphx_glr_plot_field_fca_sobol_thumb.svg
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:ref:`sphx_glr_auto_reliability_reliability_processes_plot_field_fca_sobol.py`
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Estimate Sobol indices on a field to point function
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.. toctree::
:hidden:
:includehidden:
/auto_reliability/central_dispersion/index.rst
/auto_reliability/reliability_analysis/index.rst
/auto_reliability/reliability_processes/index.rst