Zoning Modulus Inversion Method for Concrete Dams Based on Chaos Genetic Optimization Algorithm

Abstract

For dams and rock foundations of ages, the actual mechanical parameters sometimes differed from the design and the experimental values. Therefore, it is necessary to carry out the inversion analysis on main physical and mechanical parameters of dams and rock foundations. However, only the integrated deformation modulus can be inversed by utilizing the conventional inversion method, and it does not meet the actual situation. Therefore, a new method is developed in this paper to inverse the actual initial zoning deformation modulus and to determine the inversion objective function for the actual zoning deformation modulus, based on the dam displacement measured data and finite element calculation results. Furthermore, based on the chaos genetic optimization algorithm, the inversion method for zoning deformation modulus of dam, dam foundation and, reservoir basin is proposed. Combined with the project case, the feasibility and validity of the proposed method are verified.

Inversion Modeling of Dam‐Zoning Elasticity Modulus for Heightened Concrete Dam Using ICS‐IPSO Algorithm

“…However, the conventional inversion method can only identify the integrated elasticity modulus of the dam body, dam foundation, and reservoir basin. The dam body can be divided into different zones according to the material composition [11]. In recent years, various intelligent optimization algorithms have been applied to identify the mechanical parameters of concrete dams.…”

“…Xiang introduced the genetic algorithm to obtain the elasticity modulus of the concrete dam and foundation [12]. Gu utilized the chaos genetic optimization algorithm [11] and the adjoint method combined with the DFP quasi-Newton method [13] to conduct the inversion analysis of the dam-zoning modulus in concrete dam, respectively. Fei proposed a parameter identification method for concrete dam-foundation systems based on statistical analysis of recorded dam displacements with a hybrid simplex artificial bee colony algorithm [14].…”

Zoning Elastic Modulus Inversion for High Arch Dams Based on the PSOGSA‐SVM Method

“…is process requires an efficient iterative method with strong nonlinear mapping capability and only a few samples. In recent years, such optimization methods have widely been developed [17][18][19][20][21][22][23][24][25][26][27], such as neural network method, confidence interval method, genetic algorithm, and particle swarm optimization. Liang et al [28] comprehensively used artificial neural network and particle swarm optimization algorithm to invert the physical and mechanical parameters of the high and steep slope of the Dagangshan dam.…”

Stochastic Inversion Method for Concrete Dams on the Basis of Bayesian Back Analysis Theory

“…us, the parameters obtained from these tests present large discrepancies with the true values and cannot reflect the real operational situation of projects, especially aging concrete dams [3,4]. erefore, the mechanical parameters of concrete dams should be determined through inverse analysis based on prototype observation data [5,6].…”