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公路边坡安全模糊综合预警方法
引用本文:李元松,段 鑫,李 洋. 公路边坡安全模糊综合预警方法[J]. 武汉工程大学学报, 2014, 0(3): 28-32. DOI: 103969/jissn1674 2869201403006
作者姓名:李元松  段 鑫  李 洋
作者单位:武汉工程大学资源与土木工程学院,湖北 武汉 430074
摘    要:针对目前单一判据评判公路边坡稳定性状态存在种种不足的现状,分析了公路边坡地质灾害发生的特点和影响边坡安全的主要因素,提出了安全模糊综合预警方法.运用案例统计回归分析法、数值模拟分析法和边坡围岩蠕变理论,分别确定公路边坡稳定极限状态的累计位移阈值、降雨量阈值、变形速率阈值与变形加速度阈值.在此基础之上,运用专家评分法确定各判据的权重,构建判断矩阵,经模糊逻辑推理判明边坡稳定性状态,从而实现安全预警.利用所建预警模型分析边坡近两年的监测数据,进行了两次预警,其最危险结果均达到Ⅲ级.结果表明:预警结果与实际情况完全吻合,在该工程中取得了良好的效果,很好的弥补单一判据的局限性.

关 键 词:公路边坡  模糊推理  多判据  预警方法

Fuzzy comprehensive early-warning method for highway slope safety
LI Yuan-song,DUAN Xin,LI Yang. Fuzzy comprehensive early-warning method for highway slope safety[J]. Journal of Wuhan Institute of Chemical Technology, 2014, 0(3): 28-32. DOI: 103969/jissn1674 2869201403006
Authors:LI Yuan-song  DUAN Xin  LI Yang
Affiliation:School of Resource and Civil Engineering,Wuhan Institute of Technology,Wuhan 430074,China
Abstract:Aimed at hensive early-warn geological disaster placement, the rain regression analysis od was used to det the limitation of single criterion to judge the highway slope stability,fuzzy compre- ing method was put forward. Based on analyzing the characteristics of highway slope and the main factors affecting the safety of slope, the thresholds of cumulative dis- fall amount, deformation rate and acceleration were determined using the statistical , the numerical simulation and the characteristic of rock creep. Experts grading meth- ermine each criterion weight values. Consequent Finally the safety early-warning was carried out through fuzzy logi ly, the j udgm c inference to stability. Two early-warnings were conducted using the presented early-warning the most dangerous result achieves Ⅲ level with the observed data in recent two that the early-warning results are consistent with the actual situation, and they tions of a single criterion ent matrix was formed. judge the state of slope model in one slope, and years. The results show make up for the limita-
Keywords:highway slope  fuzzy logic  multi-criterion  early-warning method
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