| Literature DB >> 35601307 |
Haixia He1,2, Kai Wang1,2, Jienan Pan1,2, Xianglong Wang1,2, Zhenzhi Wang1,2.
Abstract
It is important to explore the changes in coal pores in response to triaxial compression and shear deformation for coal mine gas drainage and efficient coalbed methane mining. To study the variation in coal pores depending on stress, first, a mechanical analysis was carried out, and then the characteristics of coal samples before and after triaxial compression were quantitatively analyzed combined with low-temperature nitrogen adsorption experiments. The compressive strength of the coal samples with a high elastic modulus is significantly greater than that of coal samples with a low elastic modulus. Sihe coal samples with a larger elastic modulus experienced higher peak stress and strain during compression than those from the Chengzhuang Mine with a smaller elastic modulus. With the exception of the coal sample from the Chengzhuang Mine with a confining pressure of 15 MPa, the peak strength and axial strain of the coal samples gradually increased with an increase in confining pressure. The larger the elastic modulus, the greater the axial strain. After triaxial compression, pores with diameters ranging from 2 to 5 nm exhibited a significant change. After the compression of coal with a high elastic modulus, the pore volume and pore specific surface area decreased with the increase in confining pressure, by 60.7 and 59.7%, respectively (compared with raw coal). The complex pore structure consisting of mesopores and macropores (>11 nm) became simpler. The volume and specific surface area of the pores of the coal samples with a low elastic modulus first increased, then decreased, and then increased again with the increase in confining pressure, and after compression, the roughness and complexity of macropores of coal samples are greater than those of micropores. The changes induced in the coal samples of the two mining areas in response to compression differ, which are related to the mechanical properties of the coal bodies.Entities:
Year: 2022 PMID: 35601307 PMCID: PMC9118376 DOI: 10.1021/acsomega.2c01269
Source DB: PubMed Journal: ACS Omega ISSN: 2470-1343
Basic Parameters of Coal Samples
| maceral
characteristics | |||||||
|---|---|---|---|---|---|---|---|
| mine | sample no. | vitrinite (%) | inertinite (%) | exinite (%) | clay (%) | carbonate (%) | |
| Chengzhuang | CZ-1 | 2.44 | 89.00 | 1.67 | 6.00 | 3.33 | |
| CZ-2 | 2.37 | 81.28 | 0.91 | 10.05 | 7.76 | ||
| Sihe | SH-1 | 2.53 | 84.67 | 0.36 | 14.97 | ||
| SH-2 | 2.24 | 92.33 | 0.19 | 7.49 | |||
Figure 1Triaxial compression test sample.
Figure 2Experimental flowchart.
Figure 3Correlation between σ1 and σ3.
Strength Distribution in Coal
| sampling location | sample no. | diameter (mm) | high (mm) | confining pressure (MPa) | internal friction angle (deg) | cohesion (MPa) | compressive strength (MPa) | elastic modulus (GPa) |
|---|---|---|---|---|---|---|---|---|
| Chengzhuang | CZJ-1 | 49.74 | 99.32 | 5 | 22.193 | 10.925 | 38.517 | 3.432 |
| CZJ-2 | 50.05 | 100.01 | 10 | |||||
| CZJ-3 | 49.90 | 99.58 | 15 | |||||
| CZJ-4 | 49.92 | 99.98 | 20 | |||||
| Sihe | SHJ-1 | 50.02 | 99.82 | 5 | 29.327 | 12.899 | 60.617 | 4.206 |
| SHJ-2 | 50.22 | 99.60 | 10 | |||||
| SHJ-3 | 50.00 | 99.94 | 15 | |||||
| SHJ-4 | 50.02 | 100.60 | 20 |
Figure 4Stress–strain curves of coal samples.
Pore Volume of Each Size Category of Coal Samples
| volume
of each size category (10–4 cm3/g) | ratio
of pore volume (%) | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| sample no. | total volume (10–4 cm3/g) | 2–5 nm | 5–10 nm | 10–50 nm | 50–100 nm | 2–5 nm | 5–10 nm | 10–50 nm | 50–100 nm |
| SH-1 | 53.29 | 18.14 | 10.32 | 18.20 | 6.63 | 34.1 | 19.4 | 34.2 | 12.4 |
| SH-2 | 30.92 | 7.35 | 3.43 | 14.53 | 5.61 | 23.8 | 11.1 | 47.0 | 18.2 |
| SHJ-1 | 37.53 | 16.67 | 1.38 | 7.69 | 11.80 | 44.4 | 3.7 | 20.5 | 31.4 |
| SHJ-2 | 13.81 | 3.30 | 1.06 | 6.03 | 3.44 | 23.9 | 7.6 | 43.6 | 24.9 |
| SHJ-3 | 7.61 | 1.96 | 0.18 | 3.23 | 2.24 | 25.8 | 2.4 | 42.4 | 29.4 |
| SHJ-4 | 7.35 | 0.63 | 0.08 | 4.14 | 2.50 | 8.6 | 1.0 | 56.3 | 34.0 |
| CZ-1 | 3.77 | 0.01 | 0.14 | 2.79 | 0.83 | 3.8 | 74.1 | 22.0 | |
| CZ-2 | 7.98 | 0.33 | 0.21 | 5.04 | 2.41 | 4.2 | 2.6 | 63.1 | 30.2 |
| CZJ-1 | 9.90 | 3.18 | 1.52 | 5.20 | 32.1 | 15.4 | 52.6 | ||
| CZJ-2 | 22.10 | 4.13 | 3.32 | 8.60 | 6.05 | 18.7 | 15.0 | 38.9 | 27.4 |
| CZJ-3 | 8.51 | 0.35 | 4.74 | 3.42 | 4.2 | 55.7 | 40.2 | ||
| CZJ-4 | 21.32 | 2.30 | 1.25 | 11.87 | 5.91 | 10.8 | 5.9 | 55.7 | 27.7 |
Figure 5Distributions of the pore size and pore volume of coal samples before and after triaxial compression shearing.
Specific Surface Area of Each Pore Size Category of the Coal Sample
| specific surface area for each pore size category (m2/g) | ratio of pore specific surface area (%) | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| sample no. | total specific surface area (m2/g) | 2–5 nm | 5–10 nm | 10–50 nm | 50–100 nm | 2–5 nm | 5–10 nm | 10–50 nm | 50–100 nm |
| SH-1 | 3.59 | 2.47 | 0.66 | 0.42 | 0.04 | 68.8 | 18.4 | 11.6 | 1.2 |
| SH-2 | 1.46 | 0.96 | 0.21 | 0.26 | 0.04 | 65.5 | 14.1 | 18.0 | 2.4 |
| SHJ-1 | 2.89 | 2.61 | 0.08 | 0.14 | 0.06 | 90.2 | 2.8 | 4.8 | 2.2 |
| SHJ-2 | 0.64 | 0.45 | 0.06 | 0.10 | 0.02 | 70.8 | 9.6 | 16.2 | 3.3 |
| SHJ-3 | 0.38 | 0.30 | 0.01 | 0.06 | 0.01 | 79.2 | 2.5 | 14.6 | 3.7 |
| SHJ-4 | 0.17 | 0.09 | 0.07 | 0.02 | 49.6 | 2.0 | 39.3 | 9.1 | |
| CZ-1 | 0.06 | 0.01 | 0.05 | 0.01 | 1.6 | 10.6 | 79.5 | 8.4 | |
| CZ-2 | 0.17 | 0.05 | 0.01 | 0.09 | 0.02 | 29.8 | 6.2 | 54.9 | 9.2 |
| CZJ-1 | 0.60 | 0.44 | 0.09 | 0.07 | 73.8 | 14.3 | 11.9 | ||
| CZJ-2 | 0.89 | 0.52 | 0.18 | 0.15 | 0.04 | 58.5 | 20.3 | 16.9 | 4.4 |
| CZJ-3 | 0.15 | 0.05 | 0.08 | 0.02 | 32.5 | 53.0 | 14.5 | ||
| CZJ-4 | 0.60 | 0.29 | 0.08 | 0.21 | 0.04 | 47.3 | 12.7 | 34.0 | 6.0 |
Figure 6Distributions of the pore diameter and pore specific surface area of the coal samples before and after triaxial compression shearing.
Fractal Results of the Coal FHH Model
| mine | aperture range (nm) | correlation
coefficient | ||
|---|---|---|---|---|
| SH-1 | 2 ≤ | –0.26 | 2.74 | 1.00 |
| 7 ≤ | –0.13 | 2.87 | 0.99 | |
| SH-2 | 2 ≤ | –0.23 | 2.77 | 0.96 |
| 11 ≤ | –0.24 | 2.76 | 1.00 | |
| SHJ-1 | 2 ≤ | –0.23 | 2.78 | 1.00 |
| 11 ≤ | –0.14 | 2.86 | 0.98 | |
| SHJ-2 | 2 ≤ | –0.50 | 2.50 | 0.99 |
| 5 ≤ | –0.25 | 2.75 | 0.98 | |
| SHJ-3 | 2 ≤ | –0.48 | 2.52 | 0.93 |
| 6 ≤ | –0.24 | 2.76 | 0.95 | |
| SHJ-4 | 2 ≤ | –0.27 | 2.73 | 0.92 |
| 7 ≤ | 0.43 | 3.43 | 0.95 | |
| CZ-1 | 2 ≤ | –0.02 | 2.98 | 0.80 |
| 8 ≤ | –0.61 | 2.39 | 0.99 | |
| CZ-2 | 2 ≤ | –0.15 | 2.85 | 0.04 |
| 8 ≤ | –0.59 | 2.41 | 1.00 | |
| CZJ-1 | 2 ≤ | –0.86 | 2.14 | 0.98 |
| 4.5 ≤ | –0.25 | 2.75 | 0.99 | |
| CZJ-2 | 2 ≤ | –0.20 | 2.80 | 1.00 |
| CZJ-3 | 2 ≤ | –0.05 | 2.95 | 0.39 |
| 11 ≤ | –0.63 | 2.37 | 1.00 | |
| CZJ-4 | 2 ≤ | –0.15 | 2.85 | 0.97 |
| 11 ≤ | –0.31 | 2.69 | 1.00 |
Figure 7Fitting diagram of FHH fractal model of Sihe coal samples before and after triaxial compression.
Figure 8Fitting diagram of the FHH fractal model of Chengzhuang coal samples before and after triaxial compression.