Geomechanics and Engineering A

Volume 38, Number 3, 2024, pages 215-229

DOI: 10.12989/gae.2024.38.3.215

Mine water inrush characteristics based on RQD index of rock mass and multiple types of water channels

Jinhai Zhao, Weilong Zhu, Wenbin Sun, Changbao Jiang, Hailong Ma and Hui Yang

Abstract

Because of the various patterns of deep-water inrush and complicated mechanisms, accurately predicting mine water inflows is always a difficult problem for coal mine geologists. In study presented in this paper, the water inrush channels were divided into four basic water diversion structures: aquifer, rock fracture zone, fracture zone and goaf. The fluid flow characteristics in each water-conducting structure were investigated by laboratory tests, and multistructure and multisystem coupling flow analysis models of different water-conducting structures were established to describe the entire water inrush process. Based on the research of the water inrush flow paths, the analysis model of different water inrush space structures was established and applied to the prediction of mine water inrush inflow. The results prove that the conduction sequence of different water-conducting structures and the changing rule of permeability caused by stress changes before and after the peak have important influences on the characteristics of mine water-gushing. Influenced by the differences in geological structure and combined with rock mass RQD and fault conductivity characteristics and other mine exploration data, the prediction of mine water inflow can be realized accurately. Taking the water transmitting path in the multistructure as the research object of water inrush, breaking through the limitation of traditional stratigraphic structure division, the prediction of water inflow and the estimation of potentially flooded area was realized, and water bursting intensity was predicted. It is of great significance in making reasonable emergency plans.

Key Words

broken rock mass; rough surface cracks; stress and strain; water conduction structure; water inflow prediction

Address

Jinhai Zhao , Weilong Zhu, Wenbin Sun,Hailong Ma and Hui Yang: State Key Laboratory Breeding Base for Mining Disaster Prevention and Control, Shandong University of Science and Technology, Qingdao 266590, China; College of Energy and Mining Engineering, Shandong University of Science and Technology, Qingdao 266590, China Changbao Jiang: tate Key Laboratory Breeding Base for Mining Disaster Prevention and Control, Shandong University of Science and Technology, Qingdao 266590, China; College of Energy and Mining Engineering, Shandong University of Science and Technology, Qingdao 266590, China; State Key Laboratory of Coal Mine Disaster Dynamics and Control, School of Resources and Safety Engineering, Chongqing University, Chongqing 400030, China