Data for: Image Processing and Machine Learning to investigate fibre distribution on fibre-reinforced shotcrete Round Determinate Panels
Published: 1 October 2018| Version 1 | DOI: 10.17632/jh7f7wkfxm.1
Contributor:
Mirko MancaDescription
Synthetic fibres in fibre-reinforced concrete or shotcrete improve the ductility of the composite material by transferring tensile stresses once the concrete is cracked. While bridging the crack, synthetic fibres typically fails in two ways: they either snap or pull-out. This folder contains a sample of images of fibres grouped by "snap" and "pull-out". These images can be used to train a Machine Learning algorithm to automatically classify the fibres' mode of failure.
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Categories
Machine Learning, Civil Engineering Structure