All Results can be viewed using the Visualize Block.
The visualization block accepts the following three inputs:
đź“ŚSee Visualization Hints for how to hide geometries that are interefeing with visualization and how to get scaled deflection
A Simulation Reader block can load the results of an existing simulation for visualization. It can accept an optional input to specify where solutions are stored. Right-click on the block and select a simulation.
Figure below has a simple example that show how to use Read Sim block to visualize old simulations from a Project folder.
A Visualization Settings block allows configuring the display of the visualization.
The inputs are the maximum and minimum fraction of the full scale of the quantity you want to visualize, an index to select a different legend color scale, and a boolean toggle to enable or disable the display of boundary condition glyphs. The defaults are to visualize the full range of the quantity of interest, the default color scale is a rainbow color scale, and the default is to hide the boundary condition glyphs.
For example, to visualize the middle 50% of range of the quantity of interest, set Lmin
to 0.25 and Lmax
to 0.75.
The sampler block samples a solution at a set of points. It has 3 inputs:
Note that using incorrect material will yield wrong results.
. The outputs are as follows:
đź“Ś See an example problem: Sampling Custom Points
Note: you may have to hide other geometries that interfere with the result visualization ( Z-fighting ) and also use Wireframe mode. Other geometries may have been added through Grasshopper (hide by turning off Preview for the GH block) or through Rhino (using Rhino's Hide command)
Usage of deflection scale to animate the part deflection.
Previews In the same vein, the inputs to the simulation (components, loads, and restraints) can have their previews turned off to avoid their geometry interfering with the visualization of results.
Given geometry, material, restraints, and loads, Intact.Simulation for Grasshopper computes several types of quantities that are useful in understanding predicted structural properties of the model: