3D deformation and strain fields in drying kaolinite obtained from tracking internal bubbles using X-ray CT and ANN
Citation:
Xu S., Lai J., O'Kelly B.C. and Zhao B., 3D deformation and strain fields in drying kaolinite obtained from tracking internal bubbles using X-ray CT and ANN, Acta Geotechnica, 19, 1, 2024, 99 - 113Abstract:
Drying fine-grained sediments experience shrinkage and desiccation cracking that may dramatically alter their mechanical and hydraulic properties. This study adopts X-ray computed tomography (CT) to monitor the three-dimensional (3D) internal deformation and strain fields, and their relationships with desiccation crack formation, for drying kaolinite samples contained in plastic containers. Two kaolinite samples, one dried at room temperature and the other oven-dried at 60 °C, were CT scanned at several intervals during the drying process. From sequential CT scans for the same sample, entrained gas bubbles were extracted and used as tracking markers for deformation and strain field measurements. Since the bubble morphology continuously changed during the drying process, an artificial neural network (ANN) model was developed to link bubbles in sequential scans for the same sample. The tracking algorithm was trained with manually linked bubbles and optimised by comparing different combinations of bubble information, e.g. bubble location, size and shape. The drying samples experienced primarily vertical displacement before the air-entry value, while horizontal displacement occurred during vertical crack formation. Internal vertical and horizontal strains were generally uniform, indicating a limited impact of non-uniform sample drying and substrate constraint.
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China Scholarship Council 202106567007
Author's Homepage:
http://people.tcd.ie/bokellyDescription:
PUBLISHED
Author: O'Kelly, Brendan
Type of material:
Journal ArticleSeries/Report no:
Acta Geotechnica19
1
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Full text availableKeywords:
Clay, Desiccation cracks, Shrinkage, Strain fields, X-ray CTSubject (TCD):
Smart & Sustainable Planet , ARTIFICIAL INTELLIGENCE , ARTIFICIAL NEURAL NETWORKS , Artificial Intelligence , Constitutive modelling in geotechnical engineering , DRYING , Environmental Geotechnics , GEOTECHNICAL ENGINEERING , Geotechnics , MICROCRACKING , SHRINKAGE , SOIL DEFORMATION , Soil Mechanics , Soil Mechanics & Foundations , Soil Science , Soil Sciences , TOMOGRAPHY, X-RAY COMPUTED , UNSATURATED SOIL , X-RAY CHARACTERIZATION , X-RAY OBSERVATIONS , X-RAY STRUCTURES , X-ray computed tomography , fine grained soil , geotechnical , soil cracking , soil gas , soil shrinkage , tracking , tracking algorithmDOI:
https://doi.org/10.1007/s11440-023-01948-8Metadata
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