差分进化算法对混凝土热学参数的反分析
ifferential Evolution of Concrete Thermal Parameter Solution
混凝土热学参数在大体积混凝土温控仿真计算中十分重要, 而对应混凝土热力学参数是多参数优化问题, 差分进化算法是一种从遗传算法发展起来的的算法. 本文将差分进化算法对混凝土温度特性参数识别, 并将等效负热源方法加入有限元实现仿真水管降温, 建立起混凝土热学参数计算模型,通过实验该证实算法用以实现混凝土热学参数效果明显。
Thermodynamic parameters of concrete are the significant condition in the preventing mass concrete cracking computation. The concrete inversion problem of Thermodynamic parameters is a multi-parameter optimization problem. Differential Evolution is one of the optimization method of evolutionary and developed from GA (genetic algorithm). In the paper, non-steady temperature field finite element simulation and DE (Differential Evolution)were combined together to establish DE inverse solution for concrete thermodynamic parameter including equivalent heat source method to realize water-pipe cooling simulation. The procedure was implemented in mode with high computational efficiency and being high accuracy. It is an effective way to select thermal parameters instead of empirical formula and provide recommend solution for engineering.
邓居智、沈振中、许军才
水工材料工程基础科学数学
仿真计算热力学参数反演
simulation calculationThermodynamic parametersinversion
邓居智,沈振中,许军才.差分进化算法对混凝土热学参数的反分析[EB/OL].(2011-10-04)[2025-08-02].http://www.paper.edu.cn/releasepaper/content/201110-21.点此复制
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