Failure Probability History

This plot shows the evolution of the failure probability, and the standard deviation of the estimator for the failure probability, over all designs of the currently selected design set. For reliability algorithms that use several iterations like Adaptive Sampling, the result of every iteration is displays if All designs is selected. In this case, you can display the reliability index. For the First Order Reliability Method (FORM) this plot shows the history of the minimal distance to the limit state function (LSF) and the reliability index. They are all plotted into separate layers.

Settings
OptionDescription
Common Settings
Settings for each viewed history line to toggle visibility.
Preferences

The following preference settings are available:

  • Appearance

    • Font size

    • Line width

    • Symbol size

    • Enable axes

  • Axis Formats

  • Axis Ranges

  • Labels

  • Log Axes

  • Window appearance

For more details, see Plot Preference Settings.

Python Scripting

Create Visual

Creates Failure probability history using data with data_id.

    reli_history = Visuals.ReliFailureHistory ( Id("Reliability history"), data_id )

Add to Postprocessing

Adds Failure probability history in postprocessing to control_container, using the specified relative positioning.

    control_container.add_control (
        reli_history,
        True,
        RELATIVE_POSITIONING,
        1/2., 0, 1/2., 1/2. )