深埋煤巷围岩流变参数反分析及支护优化研究
发布时间：2019-04-27 19:08
【摘要】：随着煤炭开采深度的不断增加,许多矿井的开采深度已经达到上千米,岩石表现出了一定的流变特性。在高地应力作用下,软岩巷道矿压显现剧烈、变形较大,深埋高应力软岩巷道的支护问题愈来愈突出。因此,研究深埋软岩巷道的变形破坏机理,对控制巷道围岩稳定性具有重要意义。本文结合赵庄煤业深埋煤巷变形破坏严重的特征,采用理论分析、现场监测及数值计算等方法,基于流变理论通过反分析方法得到了符合工程实际的围岩流变力学参数,并在此基础上优化了深埋软岩巷道的原有支护方案。取得的主要成果归纳如下:(1)以线弹性理论为基础,采用两种计算模型分别计算出了巷道变形的线弹性解析解。并在此基础上,基于Burgers蠕变本构模型经过理论推导,得到了巷道变形的黏弹性解析解,为反分析计算做铺垫。(2)针对基本BP神经网络算法在计算过程中误差函数容易陷入局部极小值而难以达到全局最小值导致算法精度不高的问题,采用PSO算法对BP算法的不足之处进行了修正,得到精度更高的智能反分析算法。(3)将现场实测数据代入修正后的反分析算法中经反分析计算得到了符合工程实际的围岩Burgers蠕变模型力学参数值。同时通过数值计算揭示了随着时间的增加,Burgers模型不同蠕变参数的变化对巷道变形影响的内在机理。(4)在得到围岩Burgers模型蠕变力学参数的基础上,研究了注浆加固体不同力学参数、不同注浆时间、不同注浆加固圈厚度等因素对注浆支护效果的影响。经分析得到,单纯提高某个注浆体参数值或某几个参数值,很难得到最合理的支护效果,需要综合考虑各个注浆体参数对巷道变形的影响,寻求最合理的注浆支护参数。(5)采用灰色关联分析法对注浆体不同力学参数、不同注浆时间、不同注浆加固圈厚度等因素组合下巷道支护效果进行分析,最终得到合理的全断面二次注浆加固方案的技术参数并在此基础上给出了巷道二次注浆支护的工程设计支护方案。
[Abstract]:With the increasing depth of coal mining, the mining depth of many mines has reached thousands of meters, and the rocks show some rheological characteristics. Under the action of high in-situ stress, the rock pressure of soft rock roadway appears violently, the deformation is large, and the supporting problem of deep buried high stress soft rock roadway becomes more and more prominent. Therefore, it is of great significance to study the deformation and failure mechanism of deep-buried soft rock roadway to control the stability of surrounding rock of roadway. Combined with the characteristics of serious deformation and failure of deep buried coal roadway in Zhaozhuang coal industry, the rheological mechanical parameters of surrounding rock in accordance with the engineering practice are obtained by using the methods of theoretical analysis, field monitoring and numerical calculation, based on the rheological theory and the inverse analysis method. On this basis, the original supporting scheme of deep-buried soft rock roadway is optimized. The main results obtained are summarized as follows: (1) based on linear elasticity theory, the linear elastic analytical solution of roadway deformation is calculated by two kinds of calculation models. On this basis, based on the theoretical derivation of Burgers creep constitutive model, the viscoelastic analytical solution of roadway deformation is obtained. This paper lays the groundwork for inverse analysis and calculation. (2) in view of the problem that the error function of the basic BP neural network algorithm is easily trapped in the local minimum and it is difficult to reach the global minimum, the accuracy of the algorithm is not high in the process of calculation. PSO algorithm is used to correct the shortcomings of BP algorithm. The intelligent back-analysis algorithm with higher accuracy is obtained. (3) in the modified back-analysis algorithm, the field measured data are substituted for the modified back-analysis algorithm, and the mechanical parameters of the surrounding rock Burgers creep model are obtained in accordance with the engineering practice. At the same time, the internal mechanism of the influence of different creep parameters of Burgers model on tunnel deformation is revealed by numerical calculation. (4) on the basis of obtaining the creep mechanical parameters of surrounding rock Burgers model, the creep mechanics parameters of surrounding rock Burgers model are obtained. The influence of different mechanical parameters, grouting time and thickness of grouting reinforcement ring on grouting supporting effect is studied. The analysis shows that it is difficult to get the most reasonable support effect by simply increasing the parameters of a grouting body or some parameter values, and it is necessary to consider comprehensively the influence of each grouting body parameter on the deformation of the roadway. Seeking the most reasonable parameters of grouting support. (5) using grey relational analysis to analyze the supporting effect of roadway under the combination of different mechanical parameters, different grouting time, different grouting reinforcement ring thickness and other factors, and so on. Finally, the reasonable technical parameters of the full-section secondary grouting reinforcement scheme are obtained, and based on this, the engineering design support scheme of the secondary grouting support in the roadway is given.
【学位授予单位】：中国矿业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TD353
本文编号：2467237
[Abstract]:With the increasing depth of coal mining, the mining depth of many mines has reached thousands of meters, and the rocks show some rheological characteristics. Under the action of high in-situ stress, the rock pressure of soft rock roadway appears violently, the deformation is large, and the supporting problem of deep buried high stress soft rock roadway becomes more and more prominent. Therefore, it is of great significance to study the deformation and failure mechanism of deep-buried soft rock roadway to control the stability of surrounding rock of roadway. Combined with the characteristics of serious deformation and failure of deep buried coal roadway in Zhaozhuang coal industry, the rheological mechanical parameters of surrounding rock in accordance with the engineering practice are obtained by using the methods of theoretical analysis, field monitoring and numerical calculation, based on the rheological theory and the inverse analysis method. On this basis, the original supporting scheme of deep-buried soft rock roadway is optimized. The main results obtained are summarized as follows: (1) based on linear elasticity theory, the linear elastic analytical solution of roadway deformation is calculated by two kinds of calculation models. On this basis, based on the theoretical derivation of Burgers creep constitutive model, the viscoelastic analytical solution of roadway deformation is obtained. This paper lays the groundwork for inverse analysis and calculation. (2) in view of the problem that the error function of the basic BP neural network algorithm is easily trapped in the local minimum and it is difficult to reach the global minimum, the accuracy of the algorithm is not high in the process of calculation. PSO algorithm is used to correct the shortcomings of BP algorithm. The intelligent back-analysis algorithm with higher accuracy is obtained. (3) in the modified back-analysis algorithm, the field measured data are substituted for the modified back-analysis algorithm, and the mechanical parameters of the surrounding rock Burgers creep model are obtained in accordance with the engineering practice. At the same time, the internal mechanism of the influence of different creep parameters of Burgers model on tunnel deformation is revealed by numerical calculation. (4) on the basis of obtaining the creep mechanical parameters of surrounding rock Burgers model, the creep mechanics parameters of surrounding rock Burgers model are obtained. The influence of different mechanical parameters, grouting time and thickness of grouting reinforcement ring on grouting supporting effect is studied. The analysis shows that it is difficult to get the most reasonable support effect by simply increasing the parameters of a grouting body or some parameter values, and it is necessary to consider comprehensively the influence of each grouting body parameter on the deformation of the roadway. Seeking the most reasonable parameters of grouting support. (5) using grey relational analysis to analyze the supporting effect of roadway under the combination of different mechanical parameters, different grouting time, different grouting reinforcement ring thickness and other factors, and so on. Finally, the reasonable technical parameters of the full-section secondary grouting reinforcement scheme are obtained, and based on this, the engineering design support scheme of the secondary grouting support in the roadway is given.
【学位授予单位】：中国矿业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TD353
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