Scatter Plots

Results of the simulated points for the selected iterations appear as dots on the scatter plots. This feature allows the three-dimensional plotting of any three entities. A forth dimension may be visualised using the color of the points. 2D plots can be obtained by selecting No entity for the z axis.

LS-OPT Viewer

Select the Viewer tab. The New plot window appear. Or restart the LS-OPT Viewer by clicking on the Restart viewer button.
Choose Scatter Plots as Type of Plot.

Variable "rail_l" vs. Response "max_intrusion_rail_l":

For the Z-axis select No entity to switch to the 2d mode.
For the X-axis select the Variable rail_l.
For the Y-axis select the Response max_intrusion_rail_l.

Feasible points are shown in green, infeasible points in red.

The Figure shows the correlation between a variable and a response.
We could conclude: the bigger the thickness of the variable rail_l (see highlighted in red in the figure below), the smaller is the maximal intrusion of the response max_intrusion_rail_l.

The remaining dimensions, that could also have influence on the response, are projected into the plot.

Variable "hreinf3" vs. Response "IIHS_max_accel_engine_top":

For the X-axis select the Variable hreinf3 and for Y-axis select IIHS_max_accel_engine_top.

Variable "w_wellO" vs. Response "max_torsion_angle":

For the X-axis select the Variable w_wellO and for Y-axis select max_torsion_angle.

Obviously we can say: the bigger the thickness of the variable w_wellO (see highlighted in red in the figure below), the smaller is the maximal torsion angle.

Variable "w_wellO" vs. Response "torsional_stiffness":

For the X-axis select the Variable w_wellO and for Y-axis select tors_stiffness.

We defined torsional stiffness as x-moment / torsion angle. As expected the scatter plot shows: the thicker the w_wellO, the smaller the maximal torsion angle (scatter plot above), the greater is the torsional stiffness.