刘慧明, 王常明, 卢长伟, 王冰, 张索煜. 2017: 基于蒙特卡洛法和K-检验法的堆积体边坡稳定性可靠度研究. 工程地质学报, 25(s1): 434-439. DOI: 10.13544/j.cnki.jeg.2017.s1.067
    引用本文: 刘慧明, 王常明, 卢长伟, 王冰, 张索煜. 2017: 基于蒙特卡洛法和K-检验法的堆积体边坡稳定性可靠度研究. 工程地质学报, 25(s1): 434-439. DOI: 10.13544/j.cnki.jeg.2017.s1.067
    LIU Huiming, WANG Changming, LU Changwei, WANG Bing, ZHANG Suoyu. 2017: MONTE-CARLO METHOD AND K-S TEST FOR RELIABILITY ANALYSIS OF ACCUMULATION SLOPES' STABILITY. JOURNAL OF ENGINEERING GEOLOGY, 25(s1): 434-439. DOI: 10.13544/j.cnki.jeg.2017.s1.067
    Citation: LIU Huiming, WANG Changming, LU Changwei, WANG Bing, ZHANG Suoyu. 2017: MONTE-CARLO METHOD AND K-S TEST FOR RELIABILITY ANALYSIS OF ACCUMULATION SLOPES' STABILITY. JOURNAL OF ENGINEERING GEOLOGY, 25(s1): 434-439. DOI: 10.13544/j.cnki.jeg.2017.s1.067

    基于蒙特卡洛法和K-检验法的堆积体边坡稳定性可靠度研究

    MONTE-CARLO METHOD AND K-S TEST FOR RELIABILITY ANALYSIS OF ACCUMULATION SLOPES' STABILITY

    • 摘要: 堆积体边坡广泛存在水利工程建设中,该种边坡的稳定性对工程项目的可行性和安全运行具有极大的影响。由于堆积体形成原因多样,造成其组成成分复杂,组成物质具有典型的随机性,岩土体参数具有变异性,使该种类型边坡的稳定性可靠度分析存在一定不确定性。本文基于概率理论,采用K-S检验方法对岩土体参数的分布类型进行检验,避免了传统人为设定岩土体参数分布类型所产生的误差,并在此基础上采用蒙特卡洛方法,对K-S检验和人为设定的岩土体参数分布进行抽样,获得目标函数,从而获得堆积体的安全系数和可靠度指标。通过将两种参数分布获得的岩土体可靠度指标进行对比,证明K-S检验法与蒙特卡罗方法结合进行的稳定性可靠度分析能够有效提高计算精度。

       

      Abstract: Large-scale accumulation slopes are widespread in the hydropower engineering constructions. The stability of accumulation slope has a great impact on the feasibility of the project and the safe operation. The accumulation horizon of complex composition has significant randomness and the parameters have variability. These characteristics make some uncertainty in the stability analysis of the stability of this type of slope. Based on probability theory, we use K-S test method to verify the distribution type of the physical and mechanical parameters. This method can reduce the influence of errors caused by artificial assumption. And sample the parameters respectively tested by K-S test method and artificial assumption method to obtain the state function and get the safety factor and reliability by using Monte Carlo Method. Comparison of two distribution type test methods, the K-S test method combined with Monte-Carlo method can improve the accuracy of reliability analysis effectively.

       

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