Mine Lane Research Articles

Safety Evaluation of Mine Lane Tunneling Project Based on Grey Relation Analysis

In order to understand the security situation in the process of coal lane tunneling project effectively, this paper determines the safety evaluation indicators according to the actual situation in the coal lane tunneling, and then combining the indicators using grey relation analysis to evaluate the security situation of the sample coal lane tunneling projects. The evaluation method is simple, and compares the security situation of the various coal lane tunneling projects, so it can provide a reliable basis for the safety evaluation of the coal lane tunneling projects.

Chaotic time series prediction for surrounding rock’s deformation of deep mine lanes in soft rock

Based on the measured displacements, the change laws of the effect of distance in phase space on the deformation of mine lane were analyzed and the chaotic time series model to predict the surrounding rocks deformation of deep mine lane in soft rock by nonlinear theory and methods was established. The chaotic attractor dimension(D) and the largest Lyapunov index(Emax) were put forward to determine whether the deformation process of mine lane is chaotic and the degree of chaos. The analysis of examples indicates that when D > 2 and Emax>0, the surrounding rock’s deformation of deep mine lane in soft rock is the chaotic process and the laws of the deformation can still be well demonstrated by the method of the reconstructive state space. Comparing with the prediction of linear time series and grey prediction, the chaotic time series prediction has higher accuracy and the prediction results can provide theoretical basis for reasonable support of mine lane in soft rock. The time of the second support in Maluping Mine of Guizhou, China, is determined to arrange at about 40 d after the initial support according to the prediction results.