文献类型：会议论文

英文题名：An analytical approach to determine the span and fracture positions of roof strata prior to rock burst

作者：Ji, S.T. Zhang, C.W. Zhang, K.Z.

第一作者：Ji, S.T.

机构：[1] College of Mining and Safety Engineering, Shandong University of Science and Technology, Shandong, China; [2] School of Civil Engineering, Qingdao University of Technology, Qingdao, China; [3] Institute of Mining Engineering, Guizhou Institute of Technology, Guiyang, China

第一机构：College of Mining and Safety Engineering, Shandong University of Science and Technology, Shandong, China

会议论文集：Mechanics of Structures and Materials: Advancements and Challenges - Proceedings of the 24th Australasian Conference on the Mechanics of Structures and Materials, ACMSM24 2016

会议日期：December 6, 2016 - December 9, 2016

会议地点：Perth, WA, Australia

语种：英文

外文关键词：Accident prevention - Elasticity - Fracture - Nonlinear equations - Nonlinear programming - Numerical methods - Potential energy - Rock bursts - Rocks - Structural design

年份：2017

摘要：In the mining industry, rock burst due to the elastic energy release of roof strata structure poses a significant threat to safety. Combining with potential energy release for hard roofs without supporting system, such accident should be controlled and monitored. However, there is a lack of direct monitoring method to obtain the pseudo-motion states of the vacant roof structure. This work proposes an analytical approach to determine the span and possible fracture positions of roof strata based on the inclination monitoring data. Firstly, a unit width of roof strata is considered as a beam laying on elastic foundation. Based on the mechanics model, equations with four variables, including the span of roof strata, the fracture positions of rock burst, the bending moments and shear forces corresponding to rock burst sections, are established. Such equations can be solved by considering inclination angles at four different positions in a roof strata. In addition, distribution strategy of monitoring points is investigated. Furthermore, the nonlinear optimization method is incorporated to solve these equations, and several approaches are adopted to determine the initial values of 4 variables. At last, the accuracy and convergency of the method are validated through a numerical example. The results show that the proposed method base on monitored inclination angles is a feasible approach to predict the span and possible fracture positions of roof strata prior to rock burst. ? 2017 Taylor & Francis Group, London.