基于未确知测度理论,建立矿山采空区的危险性等级评价和排序模型。从地质条件和工程状况出发,考虑影响采空区稳定性的14项因素,根据实测数据建立各影响因素的未确知测度函数。该模型针对采空区危险性评价中的诸多不确定性影响因素,根据实际情况,分别对其进行定性、定量分析,并利用熵计算各影响因素的指标权重,依照置信度识别准则进行等级判定,最后得出采空区危险性的评价结果。评价方法能解决采空区危险性评价中诸多因素不确定性问题,还可以按危险程度进行排序。将该方法应用于广东省大宝山矿15个采空区的危险性评价。研究结果表明,该方法科学合理,意义明确,可以在实际工程中进行推广应用。
Based on the uncertainty measurement theory,a risk-evaluating and order-arranging model of mining underground goaf was established.Considering the geologic condition and engineering status of underground goaf,14 factors that influence the stability of underground goaf were taken into account;and uncertainty measurement function was obtained based on the in-situ data.The uncertainty problems in risk evaluation were solved by qualitative analysis and quantitative analysis respectively.Entropy theory was used to calculate the index weight of factors;and credible degree recognition criteria were established according to the theory uncertainty measurement.The results of risk evaluation can be obtained with the credible degree criteria.This method can also arrange the order of risk degree.Furthermore,this model was employed to evaluate 15 risk underground goafs in Dabaoshan mine.Compared with the results of fuzzy synthetic evaluation method,the results show that uncertainty measurement method is reasonable and can be applied to the actual engineering.