摘要
为确保公路岩质边坡施工的安全性,本文结合工程实际情况,开展了岩质边坡监测方案的设计,并对监测成果进行了分析。同时,利用BP神经网络进行边坡变形预测,以实现边坡变形预警的分级管理。分析结果表明,岩质边坡的深部位移和地表变形监测具有重要意义,两类变形监测值均小于设计要求的变形控制值;此外,通过变形预警分级研究发现,边坡的变形预警等级处于Ⅱ~Ⅲ级,说明其安全储备相对较低。因此,应加强对该边坡的防治,以保障其长期稳定性和施工安全。
To ensure the safety of highway rock slope construction,this article combines the actual situation of the project to design a rock slope monitoring plan and analyzes the monitoring results.Meanwhile,using BP neural network for rock slope deformation prediction to achieve graded management of slope deformation warning.The analysis results indicate that monitoring the deep displacement and surface deformation of rock slopes is of great significance,and both types of deformation detection values are less than the deformation control values required by the design;In addition,through the study of deformation warning grading,it was found that the deformation warning level of the slope is between levelⅡandⅢ,indicating that its safety reserve is relatively low.Therefore,it is necessary to strengthen the prevention and control of this slope to ensure its long-term stability and construction safety.
作者
蔡鹏冲
罗立宏
张晋睿
CAI Pengchong;LUO Lihong;ZHANG Jinrui(Guangdong Jiaoke Testing Co.,Ltd.,Guangzhou Guangdong 510550,China)
出处
《北方建筑》
2025年第5期159-164,共6页
Northern Building
关键词
岩质边坡
变形监测
变形预测
预警分析
BP神经网络
rock slope
deformation monitoring
deformation prediction
early warning analysis
BP neural network
