Application Of Bionic Inverse Reliability In Bank Slope Engineering

Bank slope engineering has always been a classical research field in the field of water conservancy and geotechnical engineering.As people gradually accept the idea that the occurrence environment,composition,physical characteristics,mechanical characteristics and other factors of the rock and soil mass of the bank slope engineering have uncertainty in varying degrees,the majority of scientific research workers will take this uncertainty into account when analyzing the stability of the bank slope engineering.In the bank slope engineering,most of the reliability is positive reliability analysis,that is,under the condition that the statistical characteristics of soil parameters and structural performance function of the bank slope are known,the failure probability or reliability index of the bank slope is solved,so as to carry out stability analysis and evaluation.The inverse reliability problem is to set the target reliability index in advance and solve the unknown parameters in the performance function of the structure according to the importance level and failure type of the structure.The method of inverse reliability analysis can take the uncertainty of parameters into account,which is more in line with the engineering practice.Based on the detailed explanation of the inverse reliability problem and the commonly used inverse reliability analysis methods,the bionic inverse reliability analysis method is formed by combining the inverse reliability solution with the intelligent bionic algorithm.In this paper,when the response surface method is used to fit the implicit function,the strength reduction method with strict theory is used to calculate the safety factor of bank slope with small interval and high accuracy as the response value;the quadratic response surface function is used to properly describe the relationship between the soil parameters and the safety factor;the moth flame catching bionic algorithm with strong robustness and superior performance is used to solve each response surface function The term coefficient ensures the fitting accuracy of the response surface.After obtaining the structure performance function through the above process,combined with the optimization theory,the inverse reliability problem is transformed into the constrained optimization problem.With the characteristics of wide applicability and fast response of the bionic particle swarm optimization algorithm,the solution process of the inverse reliability problem is transformed into the objective function and constraint condition of the bionic particle swarm optimization algorithm,and then the inverse reliability problem is solved efficiently.The results of stability analysis of a bank slope project by using the bionic inverse reliability analysis method constructed in this paper show that: in the process of bank slope stability analysis,the response surface method combined with the finite element strength reduction method and the moth flame catching bionic algorithm with strong fitting ability is more reliable,and the error of the response surface constructed is very small,which lays the foundation for inverse reliability analysis;bionic particle swarm optimization calculation Compared with the common inverse reliability analysis method,the method has better convergence and faster solution speed when dealing with highly nonlinear inverse reliability problems.