期刊
COMPUTERS AND GEOTECHNICS
卷 69, 期 -, 页码 279-290出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.compgeo.2015.05.012
关键词
Constriction; Void geometry; Image analysis; Micro-Computed Tomography; Granular filter
类别
资金
- EPSRC under a DTG scholarship
- Engineering and Physical Sciences Research Council [1529804] Funding Source: researchfish
Micro-Computed Tomography (micro-CT) provides 3D images of the internal structure of sands, allowing quantitative measurements of internal features, including void topology. Methods have already been proposed to measure constriction sizes from idealised particle arrangements or from micro-CT data, however the 3D geometry of constrictions in sands is extremely complex and can be difficult to interpret using existing methods. This paper outlines a new method to measure and visualise void constrictions in sands using micro-CT data, with a view to assessing performance of granular filters. The method is based on watershed segmentation of the void space. Synthetic data obtained from OEM simulations are used to validate the new algorithm and its performance against existing image-based methods is assessed by considering micro-CT data for a representative filter material. (C) 2015 Elsevier Ltd. All rights reserved.
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