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融合异质层次因果图的尾矿堆积坝安全状态分析

Tailings accumulation dam safety state analysis by integrating heterogeneous hierarchical graph
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摘要 为探究尾矿堆积坝内外部因素对堆积坝体安全状态的影响,提出基于异质层次图的尾矿堆积坝安全状态分析方法。该方法通过构建异质层次因果图,将环境、渗流场和应力场等关键因素与堆积坝安全状态建立联系,并结合异质节点属性特征,形成环-渗-应安全状态分析指标体系;通过提出定量指标动态等级区间计算方法和安全状态等级计算模型,将坝体安全状态定性问题的模糊性转化为定量化表达,实现对尾矿堆积坝安全等级评价;以洛阳某尾矿坝为例验证模型的科学性。结果表明:该模型能合理定量分析因素与状态之间联系,并找出堆积坝负向演化的敏感性因素,给后续筑坝过程的安全管理提供决策依据。 In order to investigate the influence of internal and external factors on the safety state of the tailings dam,a method for analysing the safety state of the tailings dam based on heterogeneous hierarchical diagrams was proposed.Firstly,a hierarchical causal graph was constructed based on a priori knowledge to link key factors such as environment,seepage field and stress field with the safety status of tailing dams,and an evaluation index system was established by combining the attribute characteristics of heterogeneous nodes.Secondly,the cloud model and set-pair analysis theory were used to quantitatively calculate the potential logical relationship between the heterogeneous causal graph and the safety stability of the tailings dam.A dynamic interval calculation method for quantitative indicators and a safety status level calculation model were proposed to convert the fuzziness and uncertainty of complex and diverse evaluation indicators into quantitative expressions.Finally,a tailings dam in Luoyang was used as an example to verify the scientificity of the model.The results show that the model can quantitatively analyse the link between factors and states and identify the causes of negative changes in stacked dams.The conclusions of the model analysis can be used for the safety management of the dam-building process.
作者 阮顺领 韩思淼 殷一涵 刘迪 刘佳佳 江松 RUAN Shunling;HAN Simiao;YIN Yihan;LIU Di;LIU Jiajia;JIANG Song(School of Resources Engineering,Xi'an University of Architecture and Technology,Xi'an Shaanxi 710055,China;Institute of Mine Systems Engineering,Xi'an University of Architecture and Technology,Xi'an Shaanxi 710055,China;Xi'an Key Laboratory of Perceptive Computing and Decision for Intelligent Industry,Xi'an Shaanxi 710055,China)
出处 《中国安全科学学报》 CAS CSCD 北大核心 2024年第7期53-62,共10页 China Safety Science Journal
基金 国家自然科学基金资助(52374160) 陕西省自然科学基础研究计划项目(2022JM-201)。
关键词 异质层次因果图 尾矿堆积坝 安全状态 云模型 集对分析 heterogeneous hierarchical causal graph tailings accumulation dam safety situation cloud model set pair analysis
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