Abstract

The physical and mechanical parameters of hydraulic structures in complicated operating conditions often change over time. Updating these parameters in a timely manner is important to comprehend the operating behaviors and monitor the safety of hydraulic structures. Conventional inverse analysis methods can only generate inversions on the comprehensive deformation modulus of concrete dam structures, which contradict practical conditions. Based on the researches on conventional reversion methods of the deformation modulus of the dam body, foundation, and reservoir basin, the objective fitness function is established in this paper according to engineering-measured data and finite element simulation results. The quantum genetic algorithm has high global search efficiency and population diversity. A mechanical parameter inversion of high-arch dams is built from the intelligent optimization of an established algorithm by applying the quantum genetic algorithm. The proposed algorithm is tested to be feasible and valid for practical engineering projects and therefore shows scientific and practical application values.

Highlights

  • Hydraulic structural designs and the stress-strain and crack formation mechanisms of engineering structures are largely determined by the physical and mechanical parameters of the geotechnical engineering medium

  • Su and Peng [7] after fully considering the influence of uncertainty on the inversion results of physical and mechanical parameters introduced the interval analysis method to process in situ monitoring data and finite element calculation results and discussed the inversion model of the comprehensive elastic modulus of the concrete dam body and the comprehensive deformation modulus of the dam foundation rock body

  • On the basis of the finite element simulation results, we construct an inversion model for quantum genetic algorithm (QGA). e fitness function is established on the basis of the difference between the measured value and the finite element simulation result. e inversion of the mechanical parameters of hydraulic structural materials is realized by MATLAB programming. e specific steps are as follows: (1) e calling interface of the Abaqus finite element program is established using MATLAB. e INP document of the Abaqus model and the constitutive Fortran subprogram document of materials are called through system commands. e problem is solved using the Abaqus finite element high-efficiency core

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Summary

Introduction

Hydraulic structural designs and the stress-strain and crack formation mechanisms of engineering structures are largely determined by the physical and mechanical parameters of the geotechnical engineering medium. The intelligent optimization of the ideal objective function is realized using the quantum genetic algorithm (QGA), and the portioning QGA inversion model based on the finite element simulation results is constructed using the high-efficiency core solver, Abaqus. During the inversion analysis of Eb based on the finite element simulation model for the position far away from the dam, the node displacement {δ} under certain hydraulic loads 􏼈RH􏼉 is mainly influenced by En as follows:. Supposing the concrete deformation modulus of the dam body is Ec0 and the displacement at this point under different water levels is calculated by the finite element simulation model of the dam structure on the basis of the inversion result of Er, n.

Case Study
Method GA
Conclusion

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