Product: Abaqus/CAE
Benefits: You can now perform curve fitting on an X–Y data object, smooth an X–Y data object using an exponential moving average algorithm, and truncate an X–Y data object to remove its data points below or above one or more specified X-coordinate values. These enhancements provide greater flexibility for X–Y data analysis.
Description: Abaqus/CAE includes the following new X–Y data operators in the Operate on XY Data dialog box:
The fit operator performs curve fitting for an X–Y data object. You can perform curve fitting using two different algorithms: the linear least-squares option, which enables you to determine a best-fit line for an X–Y data object; and a spline interpolation, which enables you to define a cubic spline that best fits the selected data object.
The smooth2 operator performs data smoothing using an exponential moving average to give additional control over the smoothing effect applied to changes in the X–Y data object. Abaqus/CAE still provides the smooth operator as well, which performs smoothing using a simple moving average that takes the mean of a user-specified number of neighboring points.
The truncate operator removes all of the data points in an X–Y data object that have X–coordinate values above an upper bound that you specify or the data points that have X–coordinate values below a lower bound that you specify. This option enables you to create an X–Y data object that contains an interesting subset of your data.
Visualization module:
Tools
XY DataCreate: Operate on XY Data: Operators: select fit, smooth2, or truncate