The gas outburst, resulting in substantial economic losses and even casualties, is the biggest obstacle in coal mines, mostly caused by an imbalance of gas-geological structure. For accurately measuring this proneness, in this paper, a novel evaluation method was proposed based on the gas-geology theory. In this method, a standardization model of statistical units was presented first, which was used to standardize and quantify the 12 chosen gas-geological factors; and then, an associated function was established for computing the gas-geological complexity index (GCI). With increasing GCI values, the evaluated area was divided into four grades: simple, medium, complex, and extremely complex region, in which the associated proneness of outbursts was SAFE, POTENTIAL, HIGH, STRONG, respectively. Taking the XueHu Coal Mine as an example, site verification was carried out with a good result. Research and application indicate that (1) gas outburst is unbalanced and closely related to the complex of the gas geological structure, showing a greater GCI leads to a higher outburst possibility; (2) the most likely area for the gas outburst is the extremely complex region and the transition zone between adjacent areas with different GCI grades; (3) upgrading-targeted control measures are the best way for preventing and controlling disasters caused by the gas and outburst unbalanced distribution. This novel method provided a reliable quantity approach for predicting and zonally managing gas outbursts and improving the effectiveness of outbursts prevention.
With the rapid development of the subway rail transit, the effect of the cyclic loading on the surrounding foundations and buildings has drawn wide attention. In addition to the in situ tests and the laboratory triaxial tests, microscopic tests also provide an effective way to clarify the physical and mechanical characteristics of soils. On the other hand, the characteristics of the soft silty clay before and after freezing–thawing has been less studied. In this paper, the scanning electron microscope (SEM) tests following the cyclic triaxial tests of silty clay layer were performed to investigate the variations of the microscopic pore structures of the layer before and after freezing–thawing. The corrected Otsu method was used to obtain the binary SEM images of silty clay. The porosity results demonstrate that the magnifications from 1000× up to 5000× were suitable for observation of the silty clay microstructures. The binary SEM images of soil pore structures were quantitatively analyzed, including the porosity, the size distribution, the pore shape coefficient, the pore orientation distribution and the fractal dimension. The pore orientation of samples without loading is arranged in the horizontal direction, while the pores of samples under cyclic loadings are arranged in the vertical. After freezing–thawing, the mean anisotropy value of the microscopic pore structures increased about 12% and the porosity of samples without loadings increases about 11.24%. The lower the freezing temperature is, the larger the porosity within the samples becomes. However, the freezing–thawing has little effect on the pore shape coefficient of the silty clay. The porosity of the silty clay increases with an increase in pore diameter, but it decreases with the increase in excess pore pressure. In addition, the microscopic pore structures of the silty clay exhibit fractal characteristics. The fractal dimension is reduced by the disturbance from the effect of freezing–thawing, coupled with the effect of cyclic loading. 相似文献
Land subsidence is a common geological hazard. The long-term accumulation of land subsidence in Shanghai has caused economic
loss to the city. Since the 1990s, the engineering structures have become a new cause of land subsidence. Many factors affect
the process of land subsidence. Although such a process cannot be explicitly expressed by a mathematical formula, it is not
a “black box” whose internal structure, parameters, and characteristics are unknown. Therefore, the grey theory can be applied
to the prediction of land subsidence and provides useful information for the control of land subsidence. In this paper, a
grey model (GM) GM (1, 1) with unequal time-intervals was used to predict the subsidence of a high-rise building in the Lujiazui
area of Shanghai, and the results were compared with the monitored data. The prediction of subsidence was also corroborated
by laboratory tests and the results were compared with measured data and the predicted data by the adaptive neuro-fuzzy inference
system (ANFIS). It is found that the GM (1, 1) with unequal time-intervals is accurate and feasible for the prediction of
land subsidence. 相似文献