基于属性识别理论的金属矿山采空区塌陷灾害风险评估

采空区塌陷灾害风险评估是保证矿区安全生产的关键,基于改进的属性数学理论建立了采空区塌陷危险性评价模型,评估了采空区塌陷灾害的风险等级.首先选取地质因素、力学性质、空区参数和施工因素作为属性评价的一级指标;其次利用重要性原则及可获取的难易程度,将4个一级指标划分为14个二级指标;然后利用层次分析法对属性评价指标分配权重,...

Risk Assessment of Collapse Disaster in Goaf of Metal Mine Based on Attribute Recognition Theory

The risk assessment of goaf collapse disaster is the key to ensure safe production in mining area. Based on the improved attribute mathematics theory,a risk assessment model of goaf collapse disaster was established,and the risk grade of goaf collapse disaster was evaluated. Firstly,geological factors,mechanical properties,goaf parameters and construction factors are selected as the first-class indicators of attribute evaluation. Secondly,using the principle of importance and the difficulty of obtaining,the four primary indicators were divided into 14 secondary indicators. Thirdly,the analytic hierarchy process method was used to assign weights to the attribute evaluation indicators,and analyze the attribute measure.By constructing the attribute measure function of each evaluation indicator,the single-index attribute measure was calculated and the comprehensive attribute measure was improved. Finally,the numerical simulation was applied to conduct risk assessment of goaf collapse,and the 3 D simulation model of goaf and its surrounding rock was established by FLAC3 Dsoftware,and the distribution law of plastic zone was analyzed. Based on the established risk assessment system and confidence criterion,the field parameters of Gongchangling mining area were verified,and the risk grade C₂ of collapse was evaluated,which indicated that the goaf had medium risk,and the evaluation results were in good agreement with the actual field conditions,which verified the reliability of the evaluation model.