New method for a SEM-based quantitative microstructural clay analysis - MiCA

• Published in: Applied clay science Vol. 214; p. 106248
• Main Authors: Di Remigio, G., Rocchi, I., Zania, V.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 15.11.2021
• Subjects: Clay particles orientation; Clay porosity; Computer vision; Image analysis; Quantitative analysis; SEM; Computer vision; Image analysis; SEM; Clay particles orientation; Clay porosity; Quantitative analysis

The soil microstructure is recognised to strongly influence the mechanical behaviour of both coarse and fine geomaterials. Proper identification and tracking of the shape and position of the particles has become more and more critical to form a link between the micro and macro behaviour. Scanning El...