深部矿山支护控制技术应用现状与展望  

Current Status and Prospects of the Application of Deep Mine Support Control Technology

作　　者：张皓钦 吴钦正 刘兴全 ZHANG Hao-qin;WU Qin-zheng;LIU Xing-quan(Deep Mining Laboratory of Shandong Gold Group Co.,Ltd.,Yantai 261400,China)

机构地区：[1]山东黄金集团有限公司深井开采实验室,山东烟台261400

出　　处：《世界有色金属》2023年第18期204-207,共4页World Nonferrous Metals

摘　　要：随着金属资源开发的深度增加,采准工程布置受复杂地质力学环境影响,易发生大变形、岩爆等严重的地压灾害。本文针对胶东地区深部矿山的典型特点,概述了金属矿山领域常用的几种支护理论,总结深部矿山支护系统失效形式,分析存在的问题与不足。提出未来深部矿山的支护设计应以矿山地质信息及岩石力学等数据为基础,并应根据深部岩体高应力特点,开展吸能支护技术研究。同时,应注重支护系统评测工作,将评测数据与矿山基础地质数据作为训练样本,基于深度学习和人工智能技术,建立支护智能决策系统。With the increase in the depth of metal resource development,the layout of the mining project is affected by the complex geomechanical environment,and serious ground pressure disasters such as large deformations and rock bursts are prone to occur.Aiming at the typical characteristics of deep mines in the Jiaodong area,this article summarizes several support theories commonly used in the field of metal mines,summarizes the failure modes of deep mine support systems,and analyzes existing problems and deficiencies.It is proposed that the future support design of deep mines should be based on mine geological information and rock mechanics data,and the energy-absorbing support technology research should be carried out according to the high stress characteristics of deep rock masses.At the same time,attention should be paid to the evaluation of the support system,using evaluation data and basic geological data of the mine as training samples,and establishing an intelligent decision-making system for support based on deep learning and artificial intelligence technology.

关 键 词：金属矿山 支护理论 支护技术 失效机制 深部开采 

分 类 号：TD353[矿业工程—矿井建设]