A new method to identify void constrictions in micro-CT images of sand |
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| Institution: | 1. Deutsche ACCUmotive GmbH & Co. KG, Neue Straße 95, 73230 Kirchheim unter Teck, Germany;2. Institute of Stochastics, Ulm University, Helmholtzstraße 18, 89069 Ulm, Germany;3. Institute of Applied Materials, Helmholtz-Centre Berlin, Hahn-Meitner-Platz 1, 14109 Berlin, Germany;4. Institute for Particle Technology, TU Braunschweig, Volkmaroder Str. 5, 38104 Braunschweig, Germany;1. CEIGRAM, ETSIAAB, Universidad Politécnica de Madrid (UPM), Ciudad Universitaria, sn, Madrid 28040, Spain;2. Grupo de Sistemas Complejos (GSC), ETSIAAB, Universidad Politécnica de Madrid (UPM). Ciudad Universitaria, sn, Madrid 28040, Spain;3. Grupo de Valoración de Recursos (GVR), ETSIAAB, Universidad Politécnica de Madrid (UPM). Ciudad Universitaria, sn, Madrid 28040, Spain;4. Grupo de Automatización de Señales y Comunicaciones (GASC), ETSIT, Universidad Politécnica de Madrid (UPM), Ciudad Universitaria, sn, Madrid 28040, Spain;1. School of Science, Engineering and Technology, Abertay University, 40 Bell Street, Dundee DD1 1HG, UK.;2. School of Water, Energy and Environment, Cranfield University, Cranfield MK43 0AL, UK;3. School of Arts, Media and Computer Games, , Abertay University, 40 Bell Street, Dundee DD1 1HG, UK;4. UMMISCO-Cameroun, UMI 209 UMMISCO, University of Yaoundé, IRD, University of Paris 6, F-93143 Bondy Cedex, France;5. UMR ECOSYS, AgroParisTech, Université Paris-Saclay, Avenue Lucien Brétignières, Thiverval-Grignon 78850, France;6. Dundee Epidemiology and Biostatistics Unit, School of Medicine, Dundee University, Kirsty Semple Way, Dundee DD2 4BF, UK;1. Key Laboratory of High-efficient Mining and Safety of Metal Mines (Ministry of Education), University of Science and Technology Beijing, Beijing 100083, China;2. The University of Melbourne, Department of Infrastructure Engineering, Parkville, VIC, 3010, Australia;3. Institute of Geosphere''s Dynamics of Russian Academy of Sciences, Leninskiy prosp., 38/1, 119334, Moscow, Russia;4. Institute of Physics of the Earth of Russian Academy of Sciences, Bolshaya Gruzinskaya 10, Moscow, 107031, Russia;5. Dokuchaev Soil Science Institute of Russian Academy of Sciences, Pyzhevsky per., 7/2, 119017, Moscow, Russia;1. College of Computing, Georgia Institute of Technology, #253, 801 Atlantic Dr NW, Atlanta, GA 30332, USA;2. Elizabeth and Bill Higginbotham Professor, School of Civil and Environmental Engineering, Georgia Institute of Technology, #2285, 790 Atlantic Drive, Atlanta, GA 30332, USA;3. College of Computing, Georgia Institute of Technology, S1315 Coda, Atlanta, GA 30332, USA |
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| Abstract: | 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 DEM 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. |
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| Keywords: | Constriction Void geometry Image analysis Micro-Computed Tomography Granular filter |
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