Modeling and calculating for the compaction characteristics of waste rock masses. (31st October 2018)

• Record Type: Journal Article
• Authors: Zhu, Defu; Tu, Shihao; Ma, Hangsheng; Wei, Hongmin; Li, Haocheng; Wang, Chen
• Is Part Of: International journal for numerical and analytical methods in geomechanics. Volume 43:Number 1(2019)
• Page Start: 257
• Page End: 271
• Publication Date: 2018-10-31
• Subjects: deformation behaviors -- modeling and simulation -- rock property distribution model -- waste rock masses; Soil mechanics -- Mathematics -- Periodicals; Rock mechanics -- Mathematics -- Periodicals; 624.1510151
• DOI: 10.1002/nag.2862
• Languages: English
• ISSNs: 0363-9061

Abstract

Summary: Bearing and deformation behaviors of waste rock masses (WRM) are more usually considered in stress distribution in caved waste. As WRM is widely located in hidden and dangerous environments, herein, numerical calculation is the preferred research method, but there are no modules specifically designed to simulate WRM, and the distribution of blockiness size, void, and properties of WRM in existing programs is still immature. A construction and subdivision method for modeling WRM is proposed in this paper. That is on the basis of the intact rock mass numerical model established in 3D Voronoi, the blocks in the intact rock mass are removed at random to achieve the purpose of retrieving the WRM structure by means of predetermined porosity. Also, the Weibull distribution is introduced to describe the properties of joints randomly, and a uniaxial compression experiment is used to research the compaction characteristics of WRM. The modeling and parametric methods can more accurately reflect fragmentation characteristics, bulking characteristics, and compaction characteristics of WRM. Compared with the existing theoretical and experimental results, this method has a high degree of consistency with them. This experimental study provides a new and effective method for the safety control of backfilling technics of WRM in coal mines.