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Investigation of strain-sensitive properties of porous media through micro-CT imaging and numerical modelling
Computers and Geotechnics, Volume: 174, Start page: 106560
Swansea University Authors: Shan Zhong, Ge Ge, Hywel Thomas , Chenfeng Li
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DOI (Published version): 10.1016/j.compgeo.2024.106560
Abstract
Strain-sensitive characteristics of porous media are studied through micro-CT imaging and numerical simulations. First, high-fidelity Discrete Element Method (DEM) models are constructed for practical porous media based on micro-CT images. These DEM models prioritize the overall system morphology ov...
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ISSN: | 0266-352X |
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2024
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URI: | https://cronfa.swan.ac.uk/Record/cronfa67079 |
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v2 67079 2024-07-12 Investigation of strain-sensitive properties of porous media through micro-CT imaging and numerical modelling 4005aa417c700af0a994fc251684e803 Shan Zhong Shan Zhong true false 5cadab762ba1ba8bbf8916234da59f0f Ge Ge Ge Ge true false 08ebc76b093f3e17fed29281f5cb637e 0000-0002-3951-0409 Hywel Thomas Hywel Thomas true false 82fe170d5ae2c840e538a36209e5a3ac 0000-0003-0441-211X Chenfeng Li Chenfeng Li true false 2024-07-12 Strain-sensitive characteristics of porous media are studied through micro-CT imaging and numerical simulations. First, high-fidelity Discrete Element Method (DEM) models are constructed for practical porous media based on micro-CT images. These DEM models prioritize the overall system morphology over individual grain/particle shapes, ensuring robustness and flexibility controlled by easily adjustable algorithm parameters. Subsequently, we validate the accuracy of our proposed DEM models by comparing them with the Finite Element Method (FEM), achieving consistent agreement across all test cases. Finally, the CT-image based DEM approach is employed to investigate strain-sensitive properties of porous media, such as permeability, porosity, tortuosity, specific surface area, and fractal dimension. With a primary focus on transport and morphology properties, our approach is versatile and applicable to exploring various other properties of porous media. This study introduces a generic methodology for examining practical porous media under in-situ conditions, providing valuable insights into their response to stress and deformation. Journal Article Computers and Geotechnics 174 106560 Elsevier BV 0266-352X Rocks and porous media, In-situ property prediction, Image-based simulation, Discrete Element Method, Stress and strain, Deformation, Contact and fracture 1 10 2024 2024-10-01 10.1016/j.compgeo.2024.106560 COLLEGE NANME COLLEGE CODE Swansea University SU Library paid the OA fee (TA Institutional Deal) The authors would like to thank the support from the China Scholarship Council, Swansea University, United Kingdom, and the Royal Society, United Kingdom. ( IEC\NSFC\191628) IEC\NSFC\191628 2024-08-01T15:47:25.8520096 2024-07-12T09:35:08.3529780 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering Shan Zhong 1 Ge Ge 2 Hywel Thomas 0000-0002-3951-0409 3 Chenfeng Li 0000-0003-0441-211X 4 67079__31033__609f1b28bed247efa86417d11f267798.pdf 67079.VoR.pdf 2024-08-01T15:46:30.4450948 Output 9867095 application/pdf Version of Record true © 2024 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC license. true eng http://creativecommons.org/licenses/by-nc/4.0/ |
title |
Investigation of strain-sensitive properties of porous media through micro-CT imaging and numerical modelling |
spellingShingle |
Investigation of strain-sensitive properties of porous media through micro-CT imaging and numerical modelling Shan Zhong Ge Ge Hywel Thomas Chenfeng Li |
title_short |
Investigation of strain-sensitive properties of porous media through micro-CT imaging and numerical modelling |
title_full |
Investigation of strain-sensitive properties of porous media through micro-CT imaging and numerical modelling |
title_fullStr |
Investigation of strain-sensitive properties of porous media through micro-CT imaging and numerical modelling |
title_full_unstemmed |
Investigation of strain-sensitive properties of porous media through micro-CT imaging and numerical modelling |
title_sort |
Investigation of strain-sensitive properties of porous media through micro-CT imaging and numerical modelling |
author_id_str_mv |
4005aa417c700af0a994fc251684e803 5cadab762ba1ba8bbf8916234da59f0f 08ebc76b093f3e17fed29281f5cb637e 82fe170d5ae2c840e538a36209e5a3ac |
author_id_fullname_str_mv |
4005aa417c700af0a994fc251684e803_***_Shan Zhong 5cadab762ba1ba8bbf8916234da59f0f_***_Ge Ge 08ebc76b093f3e17fed29281f5cb637e_***_Hywel Thomas 82fe170d5ae2c840e538a36209e5a3ac_***_Chenfeng Li |
author |
Shan Zhong Ge Ge Hywel Thomas Chenfeng Li |
author2 |
Shan Zhong Ge Ge Hywel Thomas Chenfeng Li |
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Computers and Geotechnics |
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106560 |
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Swansea University |
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10.1016/j.compgeo.2024.106560 |
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Elsevier BV |
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description |
Strain-sensitive characteristics of porous media are studied through micro-CT imaging and numerical simulations. First, high-fidelity Discrete Element Method (DEM) models are constructed for practical porous media based on micro-CT images. These DEM models prioritize the overall system morphology over individual grain/particle shapes, ensuring robustness and flexibility controlled by easily adjustable algorithm parameters. Subsequently, we validate the accuracy of our proposed DEM models by comparing them with the Finite Element Method (FEM), achieving consistent agreement across all test cases. Finally, the CT-image based DEM approach is employed to investigate strain-sensitive properties of porous media, such as permeability, porosity, tortuosity, specific surface area, and fractal dimension. With a primary focus on transport and morphology properties, our approach is versatile and applicable to exploring various other properties of porous media. This study introduces a generic methodology for examining practical porous media under in-situ conditions, providing valuable insights into their response to stress and deformation. |
published_date |
2024-10-01T15:47:25Z |
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1806196954299891712 |
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11.037144 |