Study on Water Seepage Characteristics of Coal under Triaxial Stress Based on Computed Tomography Reconstruction and Three-Dimensional Printing

Coal seam water injection is a crucial technique for mining disaster prevention, and its effectiveness depends on an understanding of precise seepage mechanisms. Current three-dimensional (3D) printing methods cannot accurately replicate coal’s complex pore structure, leading to unreliable seepage results. Through computed tomography (CT) 3D reconstruction and 3D printing technology, we prepared gypsum samples that precisely mimic natural coal’s internal structure and then conducted uniaxial compression and triaxial seepage tests to analyze fluid–solid coupling characteristics. The results show that (i) the stress–strain curves of 3D printed samples were similar to those of natural coal samples, and the mechanical parameters were close to each other; (ii) the permeability of 3D printed coal samples gradually decreases and stabilizes with the increase of axial and circumferential pressures, while the seepage volume increases linearly; (iii) the initial permeability of the 3D printed samples is similar, but the slope of permeability decrease increases with loading rate; and (iv) the permeability changes conform to the power law function and monoexponential decay function, with R2 higher than 0.94 and 0.99, respectively. This work has provided a new repeatable experimental method for the study of coal seam water injection and a reliable means for improving the coal seam water injection seepage theory.

Authors

Institutions

Publication Details

Journal
ACS Omega
Published
2026-03-16
DOI
https://doi.org/10.1021/acsomega.5c09552
Primary Topic
Coal Properties and Utilization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Study on Water Seepage Characteristics of Coal under Triaxial Stress Based on Computed Tomography Reconstruction and Three-Dimensional Printing

Xiangyu Chu, Juntao Liu, Shilong Cui
ACS Omega
Coal Properties and Utilization
article

Study on Water Seepage Characteristics of Coal under Triaxial Stress Based on Computed Tomography Reconstruction and Three-Dimensional Printing

Xiangyu Chu, Juntao Liu, Shilong Cui
article en

Abstract

Coal seam water injection is a crucial technique for mining disaster prevention, and its effectiveness depends on an understanding of precise seepage mechanisms. Current three-dimensional (3D) printing methods cannot accurately replicate coal’s complex pore structure, leading to unreliable seepage results. Through computed tomography (CT) 3D reconstruction and 3D printing technology, we prepared gypsum samples that precisely mimic natural coal’s internal structure and then conducted uniaxial compression and triaxial seepage tests to analyze fluid–solid coupling characteristics. The results show that (i) the stress–strain curves of 3D printed samples were similar to those of natural coal samples, and the mechanical parameters were close to each other; (ii) the permeability of 3D printed coal samples gradually decreases and stabilizes with the increase of axial and circumferential pressures, while the seepage volume increases linearly; (iii) the initial permeability of the 3D printed samples is similar, but the slope of permeability decrease increases with loading rate; and (iv) the permeability changes conform to the power law function and monoexponential decay function, with R2 higher than 0.94 and 0.99, respectively. This work has provided a new repeatable experimental method for the study of coal seam water injection and a reliable means for improving the coal seam water injection seepage theory.

ACS Omega
Shandong University of Science and Technology (CN)
Openalex Percentile: Top 19%
Coal Properties and Utilization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.