基于改进响应面法的蒙华铁路良山边坡可靠度分析

Reliability Analysis of Liangshan Slope in Menghua Railway Based on Improving Response Surface Method

基于人工神经网络与响应面法相结合的组合方法,以边坡安全系数为研究对象,黏聚力、内摩擦角和容重作为自变量,采用Janbu法计算边坡实际安全系数,以安全系数等于1为临界值,最终得到了边坡稳定的功能函数。对蒙华铁路良山边坡岩土体可靠度进行分析,并采用蒙特卡罗法进行了验证。结果表明:良山边坡的岩土体可靠度指标计算结果与蒙特卡罗法所获取的结果吻合,验证了所提出方法的可行性;与蒙特卡罗法相比,所提出方法计算时间大大缩短,为边坡稳定性研究提供了新的思路。

Stability analysis of slopes is an important part during the designation.However,for the traditional methods,the safety of factor of slopes was investigated by using fixed values.Since mechanical parameters of rocks or soils in slopes are full of large variation,it is obvious that traditional methods are not reasonable.A combination of artificial neural network method and response surface method is proposed herein,the slope safety factor is treated as the research object,cohesion c,internal friction angleφand density ofρare treating as random variables.Janbu method is used to calculate the actual safety factors of the slope,and the limit state safety factor is equal to 1,and the performance function of the slope stability is finally obtained.Liangshan Slope,located in Menghua Railway,is analyzed and verified by Monte Carlo Method.The results show that the reliability index of Liangshan Slope is 3.4,and so is the Monte Carlo method.The calculation results are in good agreement.The feasibility of the proposed combination method is verified,but Monte Carlo method consumes more than the proposed method,so the proposed method is more efficient.