Rock Slope Stability Analysis Based On Mechanical Parameters Back-analysis And Monitoring Data

At present,China has formed a large variety of high-steep rock slopes during the construction of highways and other infrastructure.High-steep rock slopes are often caused by weathering and denudation in nature,causing slope instability.The main reason is that the strength of rock and soil in the slope is reduced due to damage,resulting in slope failure.The strength parameters of the rock and soil in the slope can accurately grasp the stability of the slope,effectively prevent the occurrence of slope failure and reduce the damage caused by the slope damage.Therefore,it is very important to study how to accurately obtain the strength parameters of the rock and soil.meaningful.This paper takes the actual high slope engineering of a highway as an example.Firstly,through on-site investigation and high-slope monitoring technology research,the on-site monitoring plan is determined and the actual monitoring data is obtained.Secondly,through the simulation of the classic case,The accuracy of the model built by Midas gts NX finite element software and Moore-Coulomb criterion was used to verify the sensitivity of the model.The sensitivity of the model was used to analyze the sensitivity of the rock and soil parameters to determine the parameters of the rock and soil to be inverted.Then use Midas gts NX finite element software and Moore-Cullen constitutive model to establish the finite element numerical model of the supporting project,and provide training samples for BP neural network suitable for the project.Finally,use the actual monitoring data of the site to conduct the BP neural network.The inversion of the actual rock and soil parameters of the slope,and the actual monitoring data of the site were used to verify the accuracy of the inversion parameters of the rock and soil,so as to study the stability of the slope.In this paper,the high slope numerical simulation and displacement back analysis method are used to study the stability of slope.The main research results are as follows:(1)Through the case study of classical numerical simulation,using Midas gts NX finite element software,Moore-Coulomb criterion The accuracy of the model is higher,the error is within the controllable range,and the software can be used for subsequent analysis and research;(2)the sensitivity of the rock and soil parameters to the slope safety factor and the different depth displacements of the slope is analyzed.Determine the displacement back analysis of the three parameters of elastic modulus E,cohesion C and friction angle ?;(3)DPS data processing system combined with the numerical model of the support project established by Midas to obtain BP nerve The training samples of the network are continuously adjusted to establish the BP neural network with hidden layer to be determined by Matlab software.Finally,the BP neural network with the minimum variance of 0.61 is selected for the inversion of the geotechnical parameters of the project;(4)4 The monitoring point data verified the geotechnical parameters obtained from the inversion.The results show that the error between the calculated displacement value and the measured value is 6.585%,which is less than 10%,indicating that the The resulting parameters are accurate rock and soil,can be used for subsequent analysis slope stability,i.e.displacement back analysis proved rock slope stability studies may be used.In addition,this paper realizes the perfect combination of slope intelligent monitoring and stability analysis,and provides a new idea for the stability study of high slope.