Adaptive Frequency Sweep

) study and study step are used, for example, to compute the response of a linear or linearized model subjected to harmonic excitation for several frequencies with a fine frequency resolution using a reduced-order model in the frequency domain. The Asymptotic Waveform Evaluation (AWE) model reduction is performed by a moment matching technique where Padé approximation or a Taylor series expansion is used for the transfer function in a specified frequency interval. This study step corresponds to an AWE Solver.

Specify the frequencies to use for the frequency sweep. Select the unit to use from the list (default: Hz). Enter the frequencies in the field using space-separated numbers or the range function.

Use the table to specify a list of globally available scalar-valued expressions to be used for error estimation by the AWE algorithm.

In the AWE algorithm, the values of the expressions specified in the table in the section are evaluated at one or more points of a parameter interval using certain expansions. The AWE algorithm is considered to have converged in that interval if the functional values resulting from the different expansions and evaluation points are similar enough. Use the field to specify to what relative tolerance the functional values must agree at the evaluation points.

Use the settings under to specify a linearization point. You can specify the linearization point using the list. Select:

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to use the expressions specified on the nodes under a specific physics interface as a linearization point.

Use the list to specify which solution to use if has been set to . Select:

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Any other available solution to use it as a linearization point. It can be the current solution in the sequence, or a solution from another sequence, or a solution that was stored with the Solution Store node. You select a stored solution by changing to the name of the stored solution. For an eigenvalue solution, choose the eigenvalue or eigenvalues to use from the list. The default value, , use the first eigenvalue and its associated eigensolution.