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基于实数编码的加速遗传算法在混凝土温度场反分析中的应用
引用本文:陈向阳,朱岳明,王振红. 基于实数编码的加速遗传算法在混凝土温度场反分析中的应用[J]. 三峡大学学报(自然科学版), 2008, 30(5)
作者姓名:陈向阳  朱岳明  王振红
作者单位:河海大学水利水电工程学院,南京,210098
基金项目:国家自然科学基金重点项目,国家自然科学基金,国家自然科学基金重点项目(国家自然科学基金雅砻江水电开发专项基金)
摘    要:根据现场实验室内的混凝土长方体试件非绝热温升试验,在温度场三维有限元仿真计算的基础上,运用基于实数编码的加速遗传算法对混凝土的热学特性参数进行反演分析.反演结果表明,基于实数编码的加速遗传算法在混凝土热学参数反演分析中简单通用、适应性好、且反演收敛速度快,效率高.

关 键 词:混凝土  热学参数  反分析  遗传算法  实数编码

Application of Accelerating Genetic Algorithm Based on Real Number Coding(RAGA) to Back Analysis of Temperature Field of Concrete
Chen Xiangyang,Zhu Yueming,Wang Zhenhong. Application of Accelerating Genetic Algorithm Based on Real Number Coding(RAGA) to Back Analysis of Temperature Field of Concrete[J]. Journal of China Three Gorges University(Natural Sciences), 2008, 30(5)
Authors:Chen Xiangyang  Zhu Yueming  Wang Zhenhong
Affiliation:Chen Xiangyang Zhu Yueming Wang Zhenhong (College of Water Conservancy & Hydropower Engineering,Hohai Univ.,Nanjing 210098,China)
Abstract:Based on the non-adiabatic temperature rise test of concrete cuboid at the field laboratory and the 3-D finite element method of concrete temperature simulation,and by using RAGA in back analysis of the concrete thermal parameters,good result is achieved.As one kind of optimization,RAGA are simple and universal and also have the characteristic of good adaptability.The back analysis result shows the fast convergence and high efficiency of RAGA in the back analysis of concrete thermal parameters.
Keywords:concrete  thermal parameters  back analysis  genetic algorithm  real coding  
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