Full
Outline
The strength prediction of grouting materials is of great significance to improve the reliability of material design for grouting. Aiming at the problems that the traditional empirical models are difficult to accurately capture the relationship between material composition and strength, and the insufficient generalization ability of models caused by small samples, a machine learning prediction framework combining physical mechanism and data enhancement was proposed. The material performance prediction results of four machine learning methods, Random Forest Regression (RFR), Artificial Neural Network (ANN), Support Vector Regression (SVR) and Linear Regression (LR), were compared and analyzed. The results show that the RFR model has the best predictive performance, and its determination coefficient (R2) is increased to 0.934, which is 21.8%, 10.4% and 1.6% higher than that of LR, SVR and ANN models, respectively. The mean square error MAE is reduced to 2.59, which is 14.5%, 13.4% and 9.1% lower than that of LR, SVR and ANN models, respectively. In the analysis of feature importance, the contribution of graphite ratio to compressive strength is 37.6%. The data enhancement technique based on physical constraints can significantly improve the robustness of small sample modeling. The MAE of RFR and ANN models increases by 39.8% and 18.3% respectively compared to those without data enhancement. The prediction error of the RFR model remains stable below 10% under various water-solid ratio conditions. The research results can provide reference for the proportion of grouting reinforcement materials in mines.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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