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

Application of Accelerating Genetic Algorithm Based on Real Number Coding(RAGA) to Back Analysis of Temperature Field of Concrete

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.

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.