基于IFOA算法的路基边坡动态预警研究

Study on the dynamic early warning of subgrade slope based on IFOA algorithm

为了实现对公路边坡的动态监测预警和及时响应,保证行车安全,本文结合甘肃渭武高速公路边坡调查分析,基于IFOA算法,提出边坡监测预警方案。通过室内黄土边坡模拟试验,得到不同降雨强度下边坡位移-时间关系曲线,进而提出以降雨强度、边坡位移-时间曲线特征和位移量为指标的边坡预警分级指标,并针对不同预警级别提出了响应措施。研究结果可实现高陡边坡稳定性检测预警与响应,保证施工安全,也为高边坡设计方案的优化提供了科学依据。

In order to realize the dynamic monitoring,early warning and timely response to the highway slope and ensure the driving safety,a slope monitoring and early warning scheme using IFOA algorithm based on the investigation and analysis of the slope of Gansu Weiwu expressway.Through indoor simulation tests of loess slope,the slope displacement-time relation curve under different rainfall intensity was obtained.Then the early warning and classification index of slope based on rainfall intensity,displacement time curve characteristics and displacement was proposed and the measures for different warning gradings were put forward.The research results realized the early warning and response of high and steep slope stability detection,could ensure the construction safety,and provided the basis for the optimization of the high slope design scheme.