An Intelligent Optimization Algorithm for Stability Reliability Calculation of Surrounding Rock of Hydraulic Tunnels and Its Application
One of the manifestations of the stability of the surrounding rock in deep-buried hydraulic tunnels is that the deformation or strain of the rock mass can be controlled within the permissible limits.The convergence-confinement method is used to solve the deformation of surrounding rock,but the deformation solved by this method is implied in the nonlinear equations,which makes it difficult to apply the traditional reliability calculation methods to solve.In this paper,based on the geometric meaning of the reliability index,the reliability calculation problem was transformed into a con-strained optimization problem.And then a reliability calculation method based on the Genghis Khan Shark optimizer for the reliability of the stability the surrounding rock of deep-buried hydraulic tunnels was proposed.Through the analysis of a practical deep-buried hydraulic tunnel,the results show that the proposed method has good applicability to the problem of reliability calculation of implicit nonlinear performance functions,and can achieve a good balance between computation-al efficiency and accuracy.The proposed method can provide a technical support for the structural design of deep-buried hydraulic tunnels and the evaluation of the reliability of the stability of the surrounding rock of tunnels.
hydraulic tunnelsstability of surrounding rockreliabilityconvergence-confinement methodGenghis Khan Shark optimizer
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