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DYNA Stats

The statistics of the LS-DYNA results can be displayed on the FE model. The statistics of the LS-DYNA d3plot results and LS-OPT history data are computed by LS-OPT for viewing in LS-PREPOST. These statistics shows:
  • The variation of the LS-DYNA results due to the variation of the design parameters.
  • The variation of the LS-DYNA results due to bifurcations and other stochastic process events.

The d3plot results are computed and displayed for every node or element for every state in the d3plot database, while the history results are likewise computed and displayed for every timestep in the history.


 

A more complete list of the statistics that can be computed and visualized is:

  1. Statistics of the Monte Carlo data from the LS-DYNA jobs. These are the data from the experimental designs used. If the experimental design was for a Monte Carlo analysis then the experimental design reflects the variation of the design variables, but if the experimental design was for creating a metamodel then the experimental design does not reflect the statistical variation of the design variables.
  2. Statistics of the results considering the variation of the design variables using the approximations (metamodels) created from the LS-DYNA jobs. The distributions of the design variables and the metamodels are used to compute the variation of the responses. If distributions were not assigned to the design variables, the resulting variation will be zero. The metamodels allow the computations of the following:
    • The deterministic or parametric variation of the responses caused by the variation of the design variables.
    • Statistics of the residuals from the metamodels created from the LS-DYNA jobs. These residuals are used to find bifurcations in the structural behavior – the outliers comprise the displacement changes not associated with a design variable change. This is the process variation is associated with structural effects such as bifurcations and not with changes in the design variable values.
    • The stochastic contribution of a variable can be investigated.
    • A probabilistic safety margin with respect to a bound on the LS-DYNA response can be plotted.
    • The LS-OPT histories of all the LS-DYNA runs can be plotted.
  3. The correlation of d3plot results or histories with an LS-OPT response can be displayed. This can be used, for example, to identify the changes in displacements associated with noise in an LS-OPT response.
     

Examples using DYNA Stats: