How to visualize the color map of modulus of subgrade reaction ks ?

How to visualize the color map of modulus of subgrade reaction ks ?

You can visualize the color map of modulus of subgrade reaction ks using Paraview which is an open source, multi-platform data analysis and visualization application. ParaView is known and used in many different communities to analyze and visualize scientific data sets. It can be used to build visualizations to analyze data using qualitative and quantitative techniques. ParaView runs on distributed and shared memory parallel and single processor systems making the data analysis for large scale models very effective. ParView is is a multi-platform application ZSoil-produced data sets can be visualized using different operational systems (Windows, Mac OS X, Linux, etc).

Since 2016, ZSoil has been offering the new feature that allows ZSoil results to be exported to the file formats that ParaView understands.

The modulus of subgrade reaction coefficient should can be calculated based on the results retrieved from the interface elements according to the following basic equation:

– total stress increment which induces the deformation
– normal displacement increment corresponding to the applied total stress increment

In order visualize the color map of modulus of subgrade reaction ks, follow these steps:
1. In ZSoil, export interface data to ParaView format (you don’t have to export all data but you can if you need them for other purposes); consider the reference time step if needed (contact typically appears with the structure).
2.  In ParaView, open file “filename_cn_timeInstance.vtu”. These are interface results only for a given time instance. Click on Apply to plot the data.
3.  Apply “Cell Data to Point Data” filter. It allows to interpolate normal total stresses from central Gauss points (average value for 4 Gauss points) to the nodes at which displacements are computed
4. Apply the “Calculator” filter. It allows to define a custom output based on data which are collected in data vectors or scalars.

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