daohang fenxiangbox searchbox qikanlogonew daohangnew searchboxnew navrightzone footerzone paper

Research on optimization of active roof-contact backfill materials ratio based on grey target decision AITranslate

BGRIMM Technology Group;BGRIMM Technology Group;BGRIMM Technology Group;BGRIMM Technology Group;BGRIMM Technology Group;BGRIMM Technology Group
AITranslate
Publisher: Youke Publishing Co., Ltd.
Share Citation Information Add to Favorites

    Scan to share on WeChat or Moments

Use WeChat scan.
Share with WeChat friends or Moments

Abstract AITranslate

The filling mining method is a core mining approach for deep and high-risk ore bodies.However,the filling slurry often fails to effectively reach the roof due to issues such as water seepage and settlement,and an insufficient roof contact rate can lead to safety hazards such as roof collapse.The existing forced roof contact technologies have issues such as complex processes and limited effectiveness.Therefore,a new "active roof-contact" filling concept is proposed.The core principle of this concept is to introduce special chemical reaction-based solid phase expansion components,which induce controlled volume expansion of the filling material through hydration reactions.This will drive the filling body in the local uncontacted areas to actively "fill in",thereby significantly improving the roof contact effect.During this process,the continuously developing expansion force can also act on the rock interface to form a "pre-stress field",improving the secondary stress concentration of the surrounding rock.This study takes the cemented filling body of all tailings and waste rocks as the main research object,analyzes the expansion mechanisms of three different types of chemical reaction-based solid phase expansion agents.Then,through the grey target decision-making method,with strength as the benefit type index,slump,final vertical expansion rate and lateral expansion stress as the cost type index,an optimization decision is made to ultimately select the expansion agent suitable for mine filling and its optimal level,to provide a useful reference for future research on active roof-contact backfill(ARCB) materials.

KeyWords AITranslate

active roof-contact mine filling roof control proportion optimization
No data

Basic Information:

DOI:

Chinese Library Classification Number:TD803[矿业工程—矿山开采]

Citation Information:

The filling mining method is a core mining approach for deep and high-risk ore bodies.However,the filling slurry often fails to effectively reach the roof due to issues such as water seepage and settlement,and an insufficient roof contact rate can lead to safety hazards such as roof collapse.The existing forced roof contact technologies have issues such as complex processes and limited effectiveness.Therefore,a new "active roof-contact" filling concept is proposed.The core principle of this concept is to introduce special chemical reaction-based solid phase expansion components,which induce controlled volume expansion of the filling material through hydration reactions.This will drive the filling body in the local uncontacted areas to actively "fill in",thereby significantly improving the roof contact effect.During this process,the continuously developing expansion force can also act on the rock interface to form a "pre-stress field",improving the secondary stress concentration of the surrounding rock.This study takes the cemented filling body of all tailings and waste rocks as the main research object,analyzes the expansion mechanisms of three different types of chemical reaction-based solid phase expansion agents.Then,through the grey target decision-making method,with strength as the benefit type index,slump,final vertical expansion rate and lateral expansion stress as the cost type index,an optimization decision is made to ultimately select the expansion agent suitable for mine filling and its optimal level,to provide a useful reference for future research on active roof-contact backfill(ARCB) materials.

quote

GB/T 7714-2015 [1] Zepeng Yan, Guoqiang Wang, Lijie Guo, et al. MetaResource, 2026(1): 111-121.
MLA [1] Zepeng Yan, et al., MetaResource, no. 1, 2026, pp. 111-121.
APA [1] Zepeng Yan, Guoqiang Wang, Lijie Guo, Caixing Shi, Xinzheng Chen, & Shishan Ruan. (2026). MetaResource(1), 111-121.
IEEE [1] Zepeng Yan, Guoqiang Wang, Lijie Guo, Caixing Shi, Xinzheng Chen, and Shishan Ruan, MetaResource, no. 1, pp. 111-121, 2026.