Parameter Optimization and Engineering Effect of Cut-and-Fill Mining Technology
Abstract
1. Introduction
2. Theoretical Analysis
2.1. Basic Principles of Cut-and-Fill Mining
2.2. Support Analysis of Cut-and-Fill Mining
3. Similarity Simulation
3.1. Engineering Background
3.2. Experimental Design
3.3. Experimental Results
4. Numerical Simulation
4.1. Simulation Scheme
4.2. Model Construction
4.3. Results and Analysis
4.3.1. Thickness Effect on Cut-and-Fill Mining Performance
4.3.2. Width Effect of Cut-and-Fill Mining Effect
4.3.3. Grey Correlation Degree of Different Mining Sizes
5. Discussion
5.1. Advantages and Technical Positioning
5.2. Applicability and Prospects
6. Conclusions
- (1)
- The similar simulation results show that cut-and-fill mining technology effectively controls the deformation and fracture of overlying strata, with limited vertical and horizontal displacements, and no obvious periodic fractures in the basic roof, demonstrating good strata control and engineering effects.
- (2)
- By means of numerical simulation of variable parameters, the mining thickness effect on the cut-and-fill mining effect was obtained: the greater the mining thickness, the larger the roof displacement, and the smaller the stress in the filling area. With regard to the width effect of the cutting area and filling area, when the mining thickness is equal to the filling width, the smaller the roof cutting width, the smaller the roof displacement and the lower the stress in the filling area. The correlation degree of each influencing factor with roof displacement and filling area stress is as follows: coal seam thickness > cutting area width = filling area width.
- (3)
- To control surface subsidence, improve the filling effect, and take into account the difficulty of roof cutting operation, the author proposes the 10-10-X group as the recommended scheme. If the surface subsidence control requirements are relatively high, the 5-10-X group can be considered to increase the cutting height and reduce the cutting width. In the 10-5-X group, the roof displacement is the largest, and the filling area stress is small. This is the most unfavorable situation, which should be avoided in practical production.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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| Numbering | Lithology | Thickness /m | Body Force /kN·m3 | Elastic Modulus /GPa | Compressive Strength /MPa | Tensile Strength /MPa | Angle of Internal Friction/° | Force of Cohesion/MPa |
|---|---|---|---|---|---|---|---|---|
| R8 | Conglomerate | 44 | 22 | 1.30 | 11.90 | 1.13 | 31 | 1.11 |
| R7 | Sandy mudstone | 12 | 22 | 1.67 | 16.23 | 1.31 | 28 | 1.24 |
| R6 | Medium-grained sandstone | 24 | 24 | 2.83 | 21.23 | 1.90 | 33 | 1.93 |
| R5 | Sandy mudstone | 5 | 20 | 1.67 | 16.23 | 1.33 | 28 | 1.21 |
| R4 | Sandstone | 8 | 26 | 3.35 | 28.43 | 2.10 | 33 | 2.14 |
| R3 | Sandstone | 9 | 26 | 3.35 | 28.43 | 2.14 | 33 | 2.12 |
| R2 | Sandy mudstone | 5 | 22 | 1.67 | 16.23 | 1.61 | 28 | 1.23 |
| R1 | Sandy mudstone | 9 | 22 | 1.67 | 16.23 | 1.63 | 28 | 1.24 |
| C | 2-2 Upper coal | 4 | 14 | 1.44 | 10.21 | 1.21 | 30 | 1.02 |
| F | sandstone | 14 | 26 | 3.35 | 28.43 | 2.14 | 33 | 2.12 |
| Width of Cutting Area/m | Fill Area Width/m | Thickness of Coal Seam/m | Thickness of Cutting Area/m | Top Notch Width/m | Fill Area Width/m | Thickness of Coal Seam/m | Thickness of Cutting Area/m |
|---|---|---|---|---|---|---|---|
| 5 | 5 | 1 | 1 | 10 | 10 | 1 | 1 |
| 2 | 2 | 2 | 2 | ||||
| 3 | 3 | 3 | 3 | ||||
| 4 | 4 | 4 | 4 | ||||
| 5 | 10 | 1 | 2 | 10 | 5 | 1 | 0.5 |
| 2 | 4 | 2 | 1 | ||||
| 3 | 6 | 3 | 1.5 | ||||
| 4 | 8 | 4 | 2 |
| Lithology | Bulk Modulus /GPa | Shear Modulus /GPa | Density /kg·m3 | Angle of Internal Friction/° | Force of Cohesion /MPa | Tensile Strength /MPa |
|---|---|---|---|---|---|---|
| Conglomerate | 0.80 | 0.64 | 2400 | 31 | 1.10 | 1.10 |
| Sandstone | 2.27 | 2.05 | 2760 | 33 | 2.10 | 2.10 |
| Medium grained sandstone | 2.10 | 1.96 | 2680 | 32 | 1.90 | 1.90 |
| Sandy mudstone | 2.06 | 1.86 | 2000 | 28 | 1.20 | 1.54 |
| 2-2 coal seam | 0.60 | 0.54 | 1400 | 30 | 0.50 | 0.50 |
| Crushing gangue | 0.02 | 0.01 | 1280 | 30 | 0.10 | 0.05 |
| Simulation Grouping | Cutting Area Displacement/m | Filling Area Stress/MPa | Simulation Grouping | Cutting Area Displacement/m | Filling Area Stress/MPa |
|---|---|---|---|---|---|
| 5-5-1 | −0.11 | −2.19 | 5-10-1 | −0.09 | −2.53 |
| 5-5-2 | −0.21 | −1.12 | 5-10-2 | −0.15 | −1.81 |
| 5-5-3 | −0.37 | −0.66 | 5-10-3 | −0.22 | −1.37 |
| 5-5-4 | −0.38 | −0.55 | 5-10-4 | −0.28 | −1.11 |
| 10-5-1 | −0.14 | −2.51 | 10-10-1 | −0.11 | −3.01 |
| 10-5-2 | −0.24 | −1.25 | 10-10-2 | −0.18 | −2.17 |
| 10-5-3 | −0.56 | −0.69 | 10-10-3 | −0.25 | −1.55 |
| 10-5-4 | −0.95 | −0.52 | 10-10-4 | −0.30 | −1.45 |
| Influencing Factor | Width of Cutting Area | Width of Filling Area | Coal Seam Thickness |
|---|---|---|---|
| Displacement correlation degree | 0.50 | 0.49 | 0.79 |
| Stress correlation degree | 0.65 | 0.65 | 0.93 |
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Lv, X.; Wang, Z.; Meng, B.; Shi, W.; Yv, Y.; Wang, C. Parameter Optimization and Engineering Effect of Cut-and-Fill Mining Technology. Appl. Sci. 2026, 16, 2391. https://doi.org/10.3390/app16052391
Lv X, Wang Z, Meng B, Shi W, Yv Y, Wang C. Parameter Optimization and Engineering Effect of Cut-and-Fill Mining Technology. Applied Sciences. 2026; 16(5):2391. https://doi.org/10.3390/app16052391
Chicago/Turabian StyleLv, Xiaolei, Zhiqiang Wang, Baowei Meng, Weiping Shi, Yaohua Yv, and Changxiang Wang. 2026. "Parameter Optimization and Engineering Effect of Cut-and-Fill Mining Technology" Applied Sciences 16, no. 5: 2391. https://doi.org/10.3390/app16052391
APA StyleLv, X., Wang, Z., Meng, B., Shi, W., Yv, Y., & Wang, C. (2026). Parameter Optimization and Engineering Effect of Cut-and-Fill Mining Technology. Applied Sciences, 16(5), 2391. https://doi.org/10.3390/app16052391
