edxia: Microstructure characterisation from quantified SEM-EDS hypermaps

By Fabien Georget, W. Wilson, Karen L. Scrivener. 2021

214 citations recorded by the source corpus.

Abstract The characterisation of cement paste microstructure is an important step towards understanding durability mechanisms in cementitious materials. Scanning electron microscopy (SEM) coupled with energy dispersive spectroscopy (EDS) is a widely used technique to analyse the microstructure at the micron-scale. However, it is challenging, notably because the characteristic size of many phases is found on a scale smaller than the EDS interaction volume. This work presents a new image analysis framework to identify phases and quantify the microstructure of cementitious materials from SEM-EDS hypermaps. By leveraging domain knowledge, representative points are attributed to phases and mixtures of phases based on ratio plots. Then, quantitative analysis of the microstructure can be carried out (chemical composition, particle size distributions, volume fractions, …). We demonstrate the abilities of the framework, and we present possible applications and extensions of the method. The framework is available as both a graphical interface and a Python code.

Subfields: Civil and Structural Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/a99b108749d2a31041a14ebe2d2c7a5989ebc51c

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In Civil and Structural Engineering

In Mechanical Engineering

Citations in the corpus

The reaction between metakaolin and limestone and its effect in porosity refinement and mechanical properties (2021, methodology): “Afterwards, the edxia image analysis framework was used to process the hyperspectral maps and obtain phase distribution masks [24].”