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1 | initial version |
Within the table bounds should certainly interpolate. Limiting extrapolation is allowed or limited by choice. If you choose EvaluateCurveToLimits a curve object will be created and you can plot it. You should be able to report the results using report variables or if using EMS, EMS output variables.
A3 , \field Interpolation Method
\type choice
\key LinearInterpolationOfTable
\key EvaluateCurveToLimits
\key LagrangeInterpolationLinearExtrapolation
2 | No.2 Revision |
Within the table bounds should certainly interpolate. Limiting extrapolation is allowed or limited by choice. If you choose EvaluateCurveToLimits a curve object will be created and you can plot it. You should be able to report the results using report variables or if using EMS, EMS output variables.
A3 , \field Interpolation Method
\type choice
\key LinearInterpolationOfTable
\key EvaluateCurveToLimits
\key LagrangeInterpolationLinearExtrapolation
In your input file you are using LinearInterpolation of table, this will not extrapolate and the curve min/max may be limiting the results. From the IO reference document:
1.57.2.1.3 Field: Interpolation Method
The method used to evaluate the tabular data. Choices are LinearInterpolationOfTable,
LagrangeInterpolationLinearExtrapolation, and EvaluateCurveToLimits. When
LinearInterpolationOfTable is selected, the data entered is evaluated within the limits
of the data set and the following fields are used only within the boundary of the table
limits (i.e., are only used to limit interpolation). A complete data set is required.
For each X variable, entries must include all Y variables and associated curve output (i.e.,
a complete table, no gaps or missing data). Extrapolation of the data set is not allowed.
When LagrangeInterpolationLinearExtrapolation is selected, a polynomial interpolation
routine is used within the table boundaries along with linear extrapolation. Given the
valid equations above, the polynomial order is fixed at 2 which infers that 3 data points
will be used for interpolation. When EvaluateCurveToLimits is selected, the coefficients
(i.e., C in the equations above) of the polynomial equation are calculated and used to
determine the table output within the limits specified in the following fields. If the
following fields are not entered, the limits of the data set are used. A complete table
is not required when using this method, however, a minimum number of data is required
to perform the regression analysis. The minimum number of data pairs required for this
choice is 6 data pairs for both bi-quadratic and quadratic-linear curve types.
If insufficient data is provided, the simulation reverts to interpolating the tabular data.
The performance curve is written to the eio file when the output diagnostics flag
DisplayAdvancedVariables is used (ref. Output:Diagnostics, DisplayAdvancedVariables).