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首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >Zoning Modulus Inversion Method for Concrete Dams Based on Chaos Genetic Optimization Algorithm
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Zoning Modulus Inversion Method for Concrete Dams Based on Chaos Genetic Optimization Algorithm

机译:基于混沌遗传优化算法的混凝土坝分区模量反演方法

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摘要

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.
机译:对于年代久远的大坝和岩石基础,实际的机械参数有时与设计和实验值有所不同。因此,有必要对大坝和岩石基础的主要物理力学参数进行反演分析。但是,利用常规的反演方法只能使积分变形模量反演,不能满足实际情况。因此,本文基于大坝位移实测数据和有限元计算结果,提出了一种反演初始初始地层变形模量并确定反演目标函数的新方法。此外,基于混沌遗传优化算法,提出了对大坝,坝基及库区的变形模量进行分区的反演方法。结合工程实例,验证了该方法的可行性和有效性。

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