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Study of mining induced overlying rock fissure numerical simulation based on intelligence parameters inversion

机译:基于智能参数反演的采动覆岩裂隙数值模拟研究。

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In order to master the law of mining induced overlying rock fissure and provide a reasonable scientific basis for safety mining under water. Orthogonal experimental design method and FLAC (FLAC, Fast Lagrangian Analysis for Continuum) program were used to obtain effective training samples for SVM (Support Vector Machine). Through reasonable selection of SVM parameters, SVM model was established between height of different position overlying rock fissure and simulation mechanical parameters. Mechanical parameters were calculated by measured overlying rock fissure height with SVM model. A new FLAC numerical simulation model were build with inversion parameters. Trill data by field measured in a coal mine in Shanxi was shown as example, Fissure heights calculated by numerical simulation were fit with the results of field measured, the maximum absolute error of overlying rock fissure height is 10m and maximum relative error is 13%, its show that the mechanical parameters which obtain by inversion is right and effective. Numerical simulation results which tally with the field measured value can be got with mechanical parameters acquired from intelligent inversion, and then laws of overlying rock movement and deformation can be holistic mastered from numerical simulation. The research provides a scientific basis for safety mining under water.
机译:为掌握开采引起的覆岩裂隙规律,并为水下安全开采提供合理的科学依据。使用正交实验设计方法和FLAC(FLAC,连续拉格朗日分析)程序获得SVM(支持向量机)的有效训练样本。通过合理选择支持向量机参数,建立了覆盖裂隙的不同位置高度与模拟力学参数之间的支持向量机模型。通过使用SVM模型测量覆岩裂隙高度来计算力学参数。建立了具有反演参数的FLAC数值模拟模型。以山西某煤矿现场实测数据为例,通过数值模拟计算得到的裂隙高度与实测结果吻合,上覆裂隙高度的最大绝对误差为10m,最大相对误差为13%。表明通过反演获得的力学参数是正确有效的。利用智能反演获得的力学参数,可以得到与实测值相符的数值模拟结果,进而可以通过数值模拟全面掌握上覆岩层运动和变形规律。该研究为水下安全开采提供了科学依据。

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