XCT dataset and Deep Learning Models for Automated Segmentation of Computed Tomography Images of Fiber-Reinforced Composites

Badran, A A.; Marshall, D B.; Legault, Z.; Makovetsky, R.; Provencher, B.; Piché, N.; Marsh, M.

Ceramic matrix composites (CMCs) Microstructures Fracture CT analysis experiment machine learning composites ceramics defects

Organizations

MDF Open

Year

2020

Source Name

badran_deeplearning_supplementarymaterial

License

CC-BY 4.0

Contacts

aly.badran@colorado.edu

DOI

10.18126/saim-cv6c View on Datacite

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The dataset consists of X-ray Computed Tomography (XCT) scans and complementary data (Trained Deep Learning Models) for segmentation of composite microstructure before in-situ tensile loading and crack segmentation after loading.