基于CM-AFSA算法的碾压混凝土坝热学参数反分析

Inverse Analysis of RCC Dam's Thermal Parameters Based on Cloud Model-Artificial Fish School Algorithm

针对通过试验得到的碾压混凝土坝热学参数偏离实际的问题,引入人工鱼群算法并利用云模型理论对其进行优化,将改进得到的CM-AFSA算法用于碾压混凝土坝热学参数反演中。结合某碾压混凝土坝实测资料,将算法通过MATLAB软件编程,反演其热学参数,并利用反演出的热学参数进行温度场的正演算,将得到的温度计算值与实测资料中的真实值进行对比,结果表明,两者的拟合程度很高,说明CM-AFSA算法在碾压混凝土坝热学参数反演中具有较好的适应性。

In view of the fact that there is great difference between the tbermal parameters nbtained by experiment and actual ones. the Artificial Fish School Algorithm （AFSA） anti Cloud Model （CM） theory are introduced for improving experiment resuhs. The improved CM-AFSA is used to conduct the inverse analysis of RCC dam＇s tbermal parameters. Based on the measured data of a RCC dam, the thermal parameters of this RCC dam are inversely analyzed by programming the algorithm with MATLAB software, and then the temperature field is calculated by the inverse thermal parameters. The calculated values of temperature are compared with the actual measured data. The results show that the calculated values are very close to actual values, which proves the CM-AFSA algorithm is adapted to the inverse analysis of thermal parameters of RCC dam.