Improved characterization of the pore size distribution in full and across scale by a fractal strategy

In this study, the normalized fractal dimension (DN) model of full-scale pore size was established based on the classical fractal scaling relationship of porous materials. The methodology of the established model was described in detail, and the rationality was examined by the classical fractal rela...

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Main Authors: Liu, H., Liu, G., Zhang, Z., Si, N., Wang, X., Chang, Ping, Barakos, George
Format: Journal Article
Published: 2025
Online Access:http://hdl.handle.net/20.500.11937/97514
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author Liu, H.
Liu, G.
Zhang, Z.
Si, N.
Wang, X.
Chang, Ping
Barakos, George
author_facet Liu, H.
Liu, G.
Zhang, Z.
Si, N.
Wang, X.
Chang, Ping
Barakos, George
author_sort Liu, H.
building Curtin Institutional Repository
collection Online Access
description In this study, the normalized fractal dimension (DN) model of full-scale pore size was established based on the classical fractal scaling relationship of porous materials. The methodology of the established model was described in detail, and the rationality was examined by the classical fractal relationship between the pore volume and specific surface area (SSA). The results indicate that the established model is a continuous function of the fractal dimension and pore size in the full scale, which can more comprehensively symbolize the fractal characteristic of pore size distribution in full scale. In addition, the established model can quantitatively characterize the absolute continuous pore size distribution in full scale, compared with the traditional segmented relatively continuous characterization methods that include the method based on connecting the data on pore volume and SSA, and the method based on the segmented fractal dimensions. The established model can also be employed to quantitatively characterize the pore size distribution across scales. Therefore, the proposed fractal strategy achieves a breakthrough for improving the characterization of the pore size distribution in porous materials, which provides a scientific basis for understanding the fluid transport behavior in porous materials and designing fractal coal-based materials.
first_indexed 2025-11-14T11:48:45Z
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T11:48:45Z
publishDate 2025
recordtype eprints
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spelling curtin-20.500.11937-975142025-04-16T04:47:46Z Improved characterization of the pore size distribution in full and across scale by a fractal strategy Liu, H. Liu, G. Zhang, Z. Si, N. Wang, X. Chang, Ping Barakos, George In this study, the normalized fractal dimension (DN) model of full-scale pore size was established based on the classical fractal scaling relationship of porous materials. The methodology of the established model was described in detail, and the rationality was examined by the classical fractal relationship between the pore volume and specific surface area (SSA). The results indicate that the established model is a continuous function of the fractal dimension and pore size in the full scale, which can more comprehensively symbolize the fractal characteristic of pore size distribution in full scale. In addition, the established model can quantitatively characterize the absolute continuous pore size distribution in full scale, compared with the traditional segmented relatively continuous characterization methods that include the method based on connecting the data on pore volume and SSA, and the method based on the segmented fractal dimensions. The established model can also be employed to quantitatively characterize the pore size distribution across scales. Therefore, the proposed fractal strategy achieves a breakthrough for improving the characterization of the pore size distribution in porous materials, which provides a scientific basis for understanding the fluid transport behavior in porous materials and designing fractal coal-based materials. 2025 Journal Article http://hdl.handle.net/20.500.11937/97514 10.1063/5.0260442 unknown
spellingShingle Liu, H.
Liu, G.
Zhang, Z.
Si, N.
Wang, X.
Chang, Ping
Barakos, George
Improved characterization of the pore size distribution in full and across scale by a fractal strategy
title Improved characterization of the pore size distribution in full and across scale by a fractal strategy
title_full Improved characterization of the pore size distribution in full and across scale by a fractal strategy
title_fullStr Improved characterization of the pore size distribution in full and across scale by a fractal strategy
title_full_unstemmed Improved characterization of the pore size distribution in full and across scale by a fractal strategy
title_short Improved characterization of the pore size distribution in full and across scale by a fractal strategy
title_sort improved characterization of the pore size distribution in full and across scale by a fractal strategy
url http://hdl.handle.net/20.500.11937/97514