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Rosenbaum, The effect of energy feedbacks on continental strength, Nature, 442 (2006) 67-70. Regenauer-Lieb, Computational challenges in the analyses of petrophysics using microtomography and upscaling: a review, Comput. Regenauer-Lieb, Rock plasticity from microtomography and upscaling, J. Regenauer-Lieb, Combined mechanical and melting damage model for geomaterials, Geophys. Heidbach, CASQUS: a new simulation tool for coupled 3D finite element modeling of tectonic and surface processes based on ABAQUSTM and CASCADE, Comput. bib7 Inc Kitware, The VTK User's Guide, Kitware, Inc., Clifton Park, NY, USA, 2010.Poulet, Continuum damage mechanics for the lithosphere, J. Heidbach, Slip-rate variability and distributed deformation in the Marmara Sea fault system, Nat. Dassault Systmes Simulia Corp., Providence, RI, USA, pp. bib4 Dassault Systmes Simulia Corp, 2014.Abapy documentation (Release 2.3.0), Google Scholar Ayachit, The ParaView Guide: A Parallel Visualization Application, Kitware Inc., Clifton Park, NY, USA, 2015. Garboczi, Computation of linear elastic properties from microtomographic images: methodology and agreement between theory and experiment, Geophysics, 67 (2002) 1396. Converting Abaqus ODB output files to VTK format.XML based VTK format for parallel visualization.Data partitioning for very large models.ParaView visualizes large data with complex microstructures. We share the script with Abaqus users on GitHub. Given its good readability and extendibility, the script can be extended to the processing of more different problems in Abaqus. The data partition scheme minimizes data redundancy and works efficiently. To support full parallel visualization, the Python script achieves data partitioning by reorganizing all nodes, elements and the corresponding results on those nodes and elements. ParaView's parallel visualization makes it possible to visualize very big data. Such capabilities as volume rendering, tensor glyphs, superior animation and other filters allow ParaView to offer excellent visualizing manifestations. We convert Abaqus output into the XML-based VTK format by developing a Python script and then using ParaView to visualize the results. Models from microtomography have extremely complicated structures, and datasets of Abaqus output are huge, requiring a visualization tool more powerful than Abaqus/CAE. However, the visualization capability of Abaqus using its CAE module is limited. It delivers linear and nonlinear analyses of mechanical and fluid dynamics, includes multi-body system and multi-physics coupling. You can simply proceed like meshio and copy the lxml, h5py and netCDF4 folders from your own Python environment into the site-packages directory.Abaqus is a popular software suite for finite element analysis. In order that meshio can indeed read all the supported formats, it need several other libraries: lxml, h5py and netCDF4. You can now load and save almost all meshio-supported mesh formats. You can optionally check the option Auto Load. Download meshioPlugin.py and load the plugin under ParaView, via Tools / Manage Plugins / Load New.You need to make sure that ParaView uses a Python version that supports meshio, that is at least Python 3.
For instance, under Windows, it is bin\Lib\site-packages.
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