Tunnel surrounding rock mechanical parameter inversion method based on parrot optimization algorithm

By combining the Parrot optimization algorithm with ABAQUS finite element software to optimize the mechanical parameters of the surrounding rock of the tunnel, the problem of difficult parameter determination in traditional methods is solved, thereby improving the accuracy of tunnel deformation prediction and the reliability of excavation schemes.

CN121009766APending Publication Date: 2025-11-25GUANGXI CHANGCHANG ROAD & BRIDGE CONSTR
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Patent Information

Application Number
CN202510850284.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-24
Publication Date
2025-11-25

AI Technical Summary

Technical Problem

Traditional methods are insufficient to accurately determine the mechanical parameters of the surrounding rock in tunnels, resulting in large errors in tunnel deformation prediction and affecting the design of support structures and the selection of excavation schemes.

Method used

The parrot optimization algorithm is used to transform the parameter inversion problem into an unconstrained mathematical optimization problem. Using field monitoring information, the displacement difference is calculated as the objective function through ABAQUS finite element software to optimize the surrounding rock mechanical parameters.

Benefits of technology

It improves the reliability and accuracy of tunnel numerical simulation, solves the problems of long calculation time and difficulty in determining parameters, and provides more efficient guidance for tunnel excavation.

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Abstract

The invention relates to a method for inverting tunnel surrounding rock mechanical parameters based on a parrot optimization algorithm. Comprising the following steps: S1, determining a constitutive model of tunnel surrounding rock according to a geological survey report or an indoor and outdoor rock mechanics test result, and establishing an ABAQUS numerical calculation model of the tunnel surrounding rock; s2, converting a parameter inversion problem into an optimization problem, and establishing an objective function of the inversion optimization problem; s3, solving the target function by adopting a parrot optimization algorithm; s4, subsequent excavation of the tunnel is guided according to the surrounding rock mechanics obtained through inversion; the method effectively solves the problem that the tunnel surrounding rock mechanical parameters are difficult to rapidly and reasonably valued.
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