Dataset: Bentheimer networks Bentheimer is imaged by a ZEISS Versa X-ray Microscope (XRM) (ZEISS X-Ray Microscopy, Pleasanton, CA). A series of 1600 2D projections are acquired at regular angular increments over a 360° rotation. These reconstruct a series of 3D volumes: cylinders which are then cropped to the maximally inscribed cubes. 2D projections are 1024 x 1024 pixels, and 3D volumes are 1024 x 1024 x1024 voxels. Images are segmented by ZEISS Zen Intellesis machine learning (Andrew, 2018). The Bentheimer network is deformed to using elastic simulation techniques, creating a series of compressed networks. The Bentheimer network is deformed using the algorithm of Rutka and Wiegmann (2006), simulating deformation to target strains of 2%, 4%, 6%, 8%, 10%, 20%, 30%, 40%, and 50%.
Chul Moon (Southern Methodist University)
July 5, 2019
This project does not have an archive available to download.