{"id":166432,"date":"2023-03-17T13:11:51","date_gmt":"2023-03-17T13:11:51","guid":{"rendered":"\/knowledge\/forums\/topic\/is-it-possible-to-plot-the-statistical-average-frequency-used-by-the-steinberg-method-in-the-mechanical-fatigue-tool\/"},"modified":"2023-07-31T12:31:48","modified_gmt":"2023-07-31T12:31:48","slug":"is-it-possible-to-plot-the-statistical-average-frequency-used-by-the-steinberg-method-in-the-mechanical-fatigue-tool","status":"publish","type":"topic","link":"https:\/\/innovationspace.ansys.com\/knowledge\/forums\/topic\/is-it-possible-to-plot-the-statistical-average-frequency-used-by-the-steinberg-method-in-the-mechanical-fatigue-tool\/","title":{"rendered":"Is it possible to plot the statistical average frequency used by the Steinberg method in the Mechanical Fatigue Tool?"},"content":{"rendered":"

Not directly, but you can obtain and plot it using user defined results. The statistical average frequency is defined as: [1\/(2*pi)*(velocity\/displacement)]. You can extract the displacement as one user-defined result and the velocity as another user-defined result. You can then calculate the statistical average frequency as another user-defined result using the displacement and velocity user-defined results. The displacement is the first moment of the stress term. The velocity is the second moment. Thus, for example, you can calculate the statistical average frequency for 1-sigma equivalent stress (SPSD) by extracting the displacement (first moment) as a user-defined result and the velocity (second moment) as another user-defined result. You can then create a third user-defined result using the expression: [1\/(2*pi)*(velocity\/displacement)]. You can then plot the statistical average frequency user-defined result. See attached test model.<\/p>\n

Attachments:
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