Clay is a material widely used in environmental geotechnics. Quantification of clay microstructure properties using scanning electron microscopy (SEM) images is intuitively the simplest way, but the challenges remain in extracting more credible quantified micro-parameters that can represent the holistic macroscopic properties of clay from SEM images and with higher efficiency. In this paper, an improved quantification method is proposed to deal with this issue. The influence of different milling and drying methods on quantification results was analysed to improve reliability and efficiency. The A–K threshold determination method (A–K method) was proposed to calculate the optimal threshold in image processing. Also, the interval estimation method was introduced to obtain the optimal magnification and number of images. Then, this quantification method was applied to Hangzhou clay. The results show that anisotropy in the clay microstructure should be considered when choosing the observed surface. Moreover, there is no significant difference in micro-parameters between liquid nitrogen frozen-vacuum drying and critical point drying. A comparison among the A–K method, artificial method and theoretical methods that can determine thresholds shows that the proposed A–K method combines the advantages of all methods. The optimal magnification and number of images can be determined by mathematical theory, which also improves reliability and efficiency.
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June 2024
Research Article|
May 16 2024
An improved quantification method for characterisation of clay microstructure using SEM Available to Purchase
Liyang Xu, MSc;
Liyang Xu, MSc
PhD student, Student
Research Center of Coastal and Urban Geotechnical Engineering, Zhejiang University, Hangzhou, China
Engineering Research Center of Urban Underground Space Development of Zhejiang Province, Hangzhou, China
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Riqing Xu, PhD;
Research Center of Coastal and Urban Geotechnical Engineering, Zhejiang University, Hangzhou, China
Professor
Engineering Research Center of Urban Underground Space Development of Zhejiang Province, Hangzhou, China
(corresponding author: xurq@zju.edu.cn)
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Bettadapura Subramanyam Shashank, PhD;
Bettadapura Subramanyam Shashank, PhD
Assistant Professor
Department of Civil Engineering, Birla Institute of Technology and Science Pilani, Pilani, India
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Xiaohui Chen, PhD;
Xiaohui Chen, PhD
Associate Professor
School of Civil Engineering, University of Leeds, Leeds, UK
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Jianlin Yu, PhD;
Jianlin Yu, PhD
Associate Professor, Professor
Research Center of Coastal and Urban Geotechnical Engineering, Zhejiang University, Hangzhou, China
Engineering Research Center of Urban Underground Space Development of Zhejiang Province, Hangzhou, China
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Chuangzhou Wu, PhD, PE
Chuangzhou Wu, PhD, PE
Professor
Institute of Port, Coastal, and Offshore Engineering, Ocean College, Zhejiang University, Zhoushan, China
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(corresponding author: xurq@zju.edu.cn)
Publisher: Emerald Publishing
Received:
April 27 2021
Accepted:
January 04 2022
Emerald Publishing Limited: All rights reserved
2024
Environmental Geotechnics (2024) 11 (4): 319–338.
Article history
Received:
April 27 2021
Accepted:
January 04 2022
Citation
Xu L, Xu R, Shashank BS, Chen X, Yu J, Wu C (2024), "An improved quantification method for characterisation of clay microstructure using SEM". Environmental Geotechnics, Vol. 11 No. 4 pp. 319–338, doi: https://doi.org/10.1680/jenge.21.00036
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