 ) when you have a precomputed matrix that you want to visualize as a 2D histogram. For example, in a fatigue analysis, you can use it for rainflow counting to be able to visualize how the stress amplitudes and mean stresses are distributed. Using this plot can then help to see how the actual damage is distributed between the different stress levels. If a large fraction of the total damage is caused by loads that occur only a few times, the statistical sample of the loads can be too small to reach any good conclusions. Add Filter, Height Expression, and Transparency or Visual Effects (only when Height Expression is used) subnodes if required.
) when you have a precomputed matrix that you want to visualize as a 2D histogram. For example, in a fatigue analysis, you can use it for rainflow counting to be able to visualize how the stress amplitudes and mean stresses are distributed. Using this plot can then help to see how the actual damage is distributed between the different stress levels. If a large fraction of the total damage is caused by loads that occur only a few times, the statistical sample of the loads can be too small to reach any good conclusions. Add Filter, Height Expression, and Transparency or Visual Effects (only when Height Expression is used) subnodes if required.| Go to Common Results Node Settings for links to information about these sections: Data, Title, and Coloring and Style. | 
 ) to select the matrix variable to use as input for the matrix histogram. The matrix histogram plot uses precomputed matrix variables only.
) to select the matrix variable to use as input for the matrix histogram. The matrix histogram plot uses precomputed matrix variables only.