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Mesoscale FEM approach on cemented sands: generating and testing the digital twin
Citation Link: https://doi.org/10.15480/882.13148
Publikationstyp
Conference Paper
Publikationsdatum
2024-07-02
Sprache
English
Author
Komodromos, Michail
Enthalten in
Volume
544
Article Number
07003
Citation
E3S Web of Conferences 544: 07003 (2024)
Contribution to Conference
Publisher DOI
Scopus ID
Publisher
EDP Sciences
The mechanics of Cemented Granular Material (CGM) have been studied by means of geotechnical experimental testing, whose output consists the basis of mathematical models which approach the material response in various loading states. The information derived from standard experimental response curves is the basis of understanding and handling the material. Still, it is intuitive to analyse the CGM down to the mesoscale and dray conclusions over the interaction of the constituent material phases. Diverging from the practice of equivalent continuum, the alternative description of a three phase composite of sand particles, cement binder and void pores has been realised in this study. In order to implement the specific morphology of this multiphase, geomaterial, X-ray Computed Tomography is used to capture the internal structure and quantify it into a three dimensional greyvalue map (or a three dimensional image). The distinction of the material phases is made possible by the application of a developed filter, which corrects the artefacts caused by beam hardening phenomena and allows for the generation of a phase segmented equivalent image. An image adapted meshing algorithm has been utilized to transform the labelled image into a tetrahedral mesh, grouped into sets that correspond to the different materials. The tetrahedral domain was assigned boundary conditions and was numerically tested under uniaxial compression using the finite element method. The kinematics of the simulation proved that the mesoscale approach, which carries internal structure information of the granular fabric and the cement paste distribution, provides a output which captures the kinematics of the granular skeleton.
Schlagworte
adapted image meshing algorithm
cemented sand
mesoscale FEM
X-ray CT
DDC Class
690: Building, Construction
624.15: Geotechnical Engineering
Publication version
publishedVersion
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e3sconf_is-porto2024_07003.pdf
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