基于HLRF优化模型的矿山岩质边坡逆可靠度

Study on the inverse reliability of mine rock slopes based on optimization model of HLRF

  • 摘要: 针对传统HLRF繁杂的计算过程逆可靠度在边坡工程缺少相应的几何意义解释及矿山边坡具有服务年限等问题,建立基于HLRF优化算法的矿山岩质边坡逆可靠度分析模型。首先,对边坡逆可靠度进行几何意义解释,在FLAC3D计算基础上,应用套索算法得到边坡的极限状态方程;其次,用遗传粒子群算法(GA-PSO)优化HLRF,并编写优化模型(GA-PSO-HLRF)与一次逆可靠度程序;最后,对边坡进行逆可靠度与可靠度分析,并提出考虑服务年限的边坡稳定双重指标评价方法。案例结果表明:优化模型对安全系数的反演结果为1.049,与设计安全系数1.05相差0.13%,优化模型精度较高,与一次逆可靠度结果一致;同时优化模型完成了多参数反演,可以获得较好效果;案例结果验证了逆可靠度几何意义解释;提出的双重指标评价方法有利于开展潜在边坡灾害的评估与防治。

     

    Abstract: In view of the complicated calculation process of traditional HLRF, the lack of corresponding geometric meaning interpretation of inverse reliability in slope engineering, and the limited service life of mine slopes, an inverse reliability analysis model of mine rock slopes was established based on the optimization model of HLRF. Firstly, the geometric significance of slope inverse reliability was interpreted, and the limit state equation of a slope was obtained by applying the LASSO algorithm based on calculations of FLAC3D. Secondly, HLRF was optimized by the GA-PSO program, and the optimization model (GA-PSO-HLRF) program and the inverse FORM program were written. Finally, the slope’s inverse reliability and reliability analysis were carried out, and the dual index evaluation method of slope stability considering the service life was proposed. The case results show that the inversion of the optimization model for the slope safety factor is 1.049, which is 0.13% different from the design safety factor of 1.05. The optimization model is more accurate and consistent with the inverse FORM. Meanwhile, the optimization model completes the multi-parameter inversion, which can obtain good results. The case results verify the interpretation of the geometric significance of the inverse reliability, and the proposed dual index evaluation method is beneficial for assessing and preventing potential slope disasters.

     

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