Study On Monitoring Index And Safety Evaluation Method Of Riverside Bank Slope Based On Measured Data

Riverside bank slope engineering is an important and widely distributed project.The stability of the slope is related to the safety of human life and property,and sometimes even related to the country’s economic and social development.Therefore,it is very urgent and important to obtain timely the safety status of the riverside bank slope.At present,most slope engineering is established slope safety monitoring system to monitor the slope of the displacement,osmotic pressure,rainfall and other information monitoring,and uses these monitoring information on the slope safety comprehensive evaluation.Due to the obvious change of the Yangtze River,the geologic environment along the Yangtze River is complicated and there are many mutual influence factors,and the current technical level is difficult to obtain all the information of the running status of riverside bank slope accurately.How to combine riverside bank slope monitoring project to expand its monitoring index system and gradually establish riverside bank slope safety evaluation become the problems to be addressed.Based on the experience of Riverside bank slope and the experience of existing slope monitoring,this paper analyzes the main influencing factors affecting the safety of riverside bank slope,and constructs a monitoring index system with prominent and representative displacement,osmotic pressure,water level and rainfall as indicators.Fuzzy comprehensive evaluation principle of riverside bank slope safety evaluation system to explain and build a security assessment hierarchy system.The different levels of different levels of the system of different indicators of the use of reasonable ways to determine the level of judgments,according to the classification of indicators and their data distribution,to determine the indicators of membership function.Using the subjective and objective combination of each way to empower the indicators,analysis of riverside bank slope comprehensive evaluation vector to determine the level of riverside bank slope safety assessment,to achieve the whole process of riverside bank slope safety assessment.In this paper,we use the correlation coefficient method to select the participation factor,and the multiple displacement regression model is used to predict the displacement and osmotic pressure of riverside bank slope,then combined with historical monitoring data and forecast information on the state of riverside bank slope pre-evaluation.This paper shows that the fuzzy comprehensive evaluation model of riverside bank slope and the pre-judgment model of riverside bank slope are reasonable and feasible,which has certain guiding significance for the operation and management of bank slope engineering.