Predicting micromechanical properties of cement paste from backscattered electron (BSE) images by computer vision

Predicting micromechanical properties of cement paste from backscattered electron (BSE) images by computer vision

This paper employs computer vision techniques to predict the micromechanical properties (i.e., elastic modulus and hardness) of cement paste based on an input of Backscattered Electron (BSE) images. A dataset comprising 40,000 nanoindentation tests and 40,000 BSE micrographs was built by express nan...

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Bibliographic Details
Main Authors: Minfei Liang, Shan He, Yidong Gan, Hongzhi Zhang, Ze Chang, Erik Schlangen, Branko Šavija
Format: Article
Language:English
Published: Elsevier 2023-05-01
Series:Materials & Design
Subjects:
Express nanoindentation test
BSE
Cement paste
Computer vision
Res-Net
Elastic modulus
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127523003209

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http://www.sciencedirect.com/science/article/pii/S0264127523003209

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