矿区地表沉陷实测影响参数分析及非主断面监测反演模型比对验证

    Influence Parameter Analysis of Surface Subsidence Measurement in Mining Area and Comparison Verification of Non-principal Section Monitoring Inversion Model

    • 摘要: 为了研究地表移动盆地内非主断面方向下沉规律,提高非主断面实测数据在预计参数反演中的应用,以唐山矿T3292工作面为工程背景,采用理论分析、数值模拟、现场实测相结合的方法,基于概率积分法提出了一种非主断面实测数据处理方法,运用FLAC3D模拟研究了非主断面位置参数(截距与斜率)对最大下沉值、主要影响半径的影响规律,并根据现场实测数据求取预计参数。研究结果表明:非主断面最大下沉值与主要影响半径均与测线位置参数有关,测线截距由660 m减小至0 m时,最大下沉值由97 mm增加至114 mm,增大了17.4%;测线斜率由1减小至0时,主要影响半径rk由400 m增加至586 m,增大了46.5%;对T3292工作面非主断面实测数据进行处理得到主要影响半径r0近似值为558 m,与主断面实测结果误差为7%,非主断面实测数据处理方法可用于井下工作面开采地表沉陷预计参数分析。

       

      Abstract: To study the surface subsidence of non-principal section in a moving basin, to improve the application of non-principal section measured data during the inversion of predicted parameters, the T3292 working face of Tangshan Mine is taken as the engineering background, and a combination of theoretical analysis, numerical simulation and field measurement is adopted. We propose a method for processing non-principal section measured data based on the probability integral method, and we use FLAC3D to study the influence of non-principal section position parameters (intercept and slope) on the maximum subsidence value and influence radius. Finally, we obtain the predicted parameters based on the field measured data. The results show that: the maximum subsidence value and the influence radius change regularly when the position of the non-principal section changes. When the line intercept is reduced from 660 m to 0 m, the maximum sinking value increases from 97 mm to 114 mm, which increases by 17.4%; when the slope of the survey line is reduced from 1 to 0, the influence radius rk is increased from 400 m to 586 m, which is an increase of 46.5%; finally, we can get the approximate value of the influence radius, r0=558 m, by processing the measured data of the non-principal section of the T3292 working face, which is 7% less than the measured result of the principal section. This non-principal section data processing method can be applied to the prediction of surface subsidence parameters in underground mining face mining.

       

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