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3D image scanning of gravel soil using in-situ X-ray computed tomography

A typical ground investigation for characterizing geotechnical properties of soil requires sampling soils to test in a laboratory. Laboratory X-ray computed tomography (CT) has been used to non-destructively observe soils and characterize their properties using image processing, numerical analysis,...

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Autores principales: Matsumura, Satoshi, Kondo, Akihiko, Nakamura, Keita, Mizutani, Takaaki, Kohama, Eiji, Wada, Kenji, Kobayashi, Taizo, Roy, Nimisha, Frost, J. David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10654387/
https://www.ncbi.nlm.nih.gov/pubmed/37973873
http://dx.doi.org/10.1038/s41598-023-46772-y
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author Matsumura, Satoshi
Kondo, Akihiko
Nakamura, Keita
Mizutani, Takaaki
Kohama, Eiji
Wada, Kenji
Kobayashi, Taizo
Roy, Nimisha
Frost, J. David
author_facet Matsumura, Satoshi
Kondo, Akihiko
Nakamura, Keita
Mizutani, Takaaki
Kohama, Eiji
Wada, Kenji
Kobayashi, Taizo
Roy, Nimisha
Frost, J. David
author_sort Matsumura, Satoshi
collection PubMed
description A typical ground investigation for characterizing geotechnical properties of soil requires sampling soils to test in a laboratory. Laboratory X-ray computed tomography (CT) has been used to non-destructively observe soils and characterize their properties using image processing, numerical analysis, or three-dimensional (3D) printing techniques based on scanned images; however, if it becomes possible to scan the soils in the ground, it may enable the characterization without sampling them. In this study, an in-situ X-ray CT scanning system comprising a drilling machine with an integrated CT scanner was developed. A model test was conducted on gravel soil to verify if the equipment can drill and scan the soil underground. Moreover, image processing was performed on acquired 3D CT images to verify the image quality; the particle morphology (particle size and shape characteristics) was compared with the results obtained for projected particles captured in a two-dimensional (2D) manner by a digital camera. The equipment successfully drilled to a target depth of 800 mm, and the soil was scanned at depths of 700, 750, and 800 mm. Image processing results showed a reasonable agreement between the 3D and 2D particle morphology images, and confirmed the feasibility of the in-situ X-ray CT scanning system.
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spelling pubmed-106543872023-11-16 3D image scanning of gravel soil using in-situ X-ray computed tomography Matsumura, Satoshi Kondo, Akihiko Nakamura, Keita Mizutani, Takaaki Kohama, Eiji Wada, Kenji Kobayashi, Taizo Roy, Nimisha Frost, J. David Sci Rep Article A typical ground investigation for characterizing geotechnical properties of soil requires sampling soils to test in a laboratory. Laboratory X-ray computed tomography (CT) has been used to non-destructively observe soils and characterize their properties using image processing, numerical analysis, or three-dimensional (3D) printing techniques based on scanned images; however, if it becomes possible to scan the soils in the ground, it may enable the characterization without sampling them. In this study, an in-situ X-ray CT scanning system comprising a drilling machine with an integrated CT scanner was developed. A model test was conducted on gravel soil to verify if the equipment can drill and scan the soil underground. Moreover, image processing was performed on acquired 3D CT images to verify the image quality; the particle morphology (particle size and shape characteristics) was compared with the results obtained for projected particles captured in a two-dimensional (2D) manner by a digital camera. The equipment successfully drilled to a target depth of 800 mm, and the soil was scanned at depths of 700, 750, and 800 mm. Image processing results showed a reasonable agreement between the 3D and 2D particle morphology images, and confirmed the feasibility of the in-situ X-ray CT scanning system. Nature Publishing Group UK 2023-11-16 /pmc/articles/PMC10654387/ /pubmed/37973873 http://dx.doi.org/10.1038/s41598-023-46772-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Matsumura, Satoshi
Kondo, Akihiko
Nakamura, Keita
Mizutani, Takaaki
Kohama, Eiji
Wada, Kenji
Kobayashi, Taizo
Roy, Nimisha
Frost, J. David
3D image scanning of gravel soil using in-situ X-ray computed tomography
title 3D image scanning of gravel soil using in-situ X-ray computed tomography
title_full 3D image scanning of gravel soil using in-situ X-ray computed tomography
title_fullStr 3D image scanning of gravel soil using in-situ X-ray computed tomography
title_full_unstemmed 3D image scanning of gravel soil using in-situ X-ray computed tomography
title_short 3D image scanning of gravel soil using in-situ X-ray computed tomography
title_sort 3d image scanning of gravel soil using in-situ x-ray computed tomography
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10654387/
https://www.ncbi.nlm.nih.gov/pubmed/37973873
http://dx.doi.org/10.1038/s41598-023-46772-y
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