杜岩, 白云飞, 张晓勇, 谢谟文, 马国星. 基于多种风险因素的矸石山边坡风险评价[J]. 工程力学, 2022, 39(10): 249-256. DOI: 10.6052/j.issn.1000-4750.2021.06.0427
引用本文: 杜岩, 白云飞, 张晓勇, 谢谟文, 马国星. 基于多种风险因素的矸石山边坡风险评价[J]. 工程力学, 2022, 39(10): 249-256. DOI: 10.6052/j.issn.1000-4750.2021.06.0427
DU Yan, BAI Yun-fei, ZHANG Xiao-yong, XIE Mo-wen, MA Guo-xing. RISK ASSESSMENT OF COAL GANGUE SLOPE CONSIDERING MULTIPLE RISK FACTORS[J]. Engineering Mechanics, 2022, 39(10): 249-256. DOI: 10.6052/j.issn.1000-4750.2021.06.0427
Citation: DU Yan, BAI Yun-fei, ZHANG Xiao-yong, XIE Mo-wen, MA Guo-xing. RISK ASSESSMENT OF COAL GANGUE SLOPE CONSIDERING MULTIPLE RISK FACTORS[J]. Engineering Mechanics, 2022, 39(10): 249-256. DOI: 10.6052/j.issn.1000-4750.2021.06.0427

基于多种风险因素的矸石山边坡风险评价

RISK ASSESSMENT OF COAL GANGUE SLOPE CONSIDERING MULTIPLE RISK FACTORS

  • 摘要: 该研究应用可拓理论综合考虑影响矸石边坡稳定的8种风险指标,建立了一套新的矸石边坡稳定性风险评价模型。与传统可拓理论评价模型相比,新模型在可拓距计算方面进行改进,并采用主客观权重相结合的综合分析法对8种风险指标进行权重分析,降低了传统理论算法在边坡稳定性风险评价过程中的系统误差。选取王家岭矸石边坡为案例,经新的边坡稳定性风险评价模型得出,2020年7月7日−2020年8月14日的风险等级变量特征值由原有的1.284上升到2.263,风险等级由低风险上升至中低风险等级,实现了现场矸石山边坡风险的定量评价。通过多个矸石边坡案例应用研究,发现改进的稳定性风险评价模型所得风险等级变量特征可与现有的边坡稳定性评估技术结合使用,实现矿山边坡安全指标与风险指标的综合评价。此外,该方法可以分析现场的实时监测数据,为矿山边坡安全风险评价提供一种客观简便的分析方法,进而有效改变目前矿山边坡工程监测重采集、轻分析的现状。

     

    Abstract: The study comprehensively considered 8 risk factors affecting the stability of gangue slope by applying extension theory, and established a new risk assessment model for the stability of gangue slope. Compared with the traditional extension theory-based evaluation model, the new model is improved in the calculation of extension distance, and it uses subjective and objective analysis method to comprehensively analyze 8 risk weight indices, thus it can reduce the systematic error of the traditional theory algorithm in the risk evaluation of slope stability. Taking Wangjialing gangue slope as a case, the risk assessment for slope stability concludes that the characteristic value of risk level increases from the original 1.284 at July 7th, 2020 to 2.263 at August 14th, 2020, and the risk level increases from low risk to medium low risk, thus achieves a quantitative risk assessment of coal gangue slope. Through applications in a number of gangue slope cases, it is concluded that the instability risk analysis based on improved extension theory evaluation model can be used in combination with existing slope stability assessment tools, and realize the comprehensive evaluation of mine slope safety index and risk index. In addition, by analyzing the on-site monitoring data index, the method can provide an objective and effective risk analysis method for mine slope, and improve the current situation that slope monitoring pays more attention to data acquisition than data analysis.

     

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