摘要
鉴于混凝土坝温度场仿真演算中通过试验得到的温度参数与实际参数相差较大,且传统温度场反分析算法计算量很大,计算效率低下,引进人工蚁群算法(ACA)并将其优化,利用优化后的算法对混凝土坝热学参数进行反分析,基于反演参数,用有限元方法对其温度场进行正演算,对比所得结果与监测数据真实值的差异,发现两者拟合程度较高,说明改进的ACA算法在大坝混凝土热力学参数反分析中具有较好的适应性。
The thermal parameters obtained by experiment are of great difference with the actual parameters in the simulation analysis of the temperature field of concrete dams.Besides,the amount of calculation is large and the efficiency is low in the back analysis of traditional concrete thermal parameters.So,an improved ant colony algorithm is applied to the inverse analysis of thermal parameters of concrete dams.And then the finite element method is used to analyze the temperature field based on the inversion thermal parameters.By comparing the calculated values with the monitoring values,the results show that the calculated values are very close to the actual values,which proves that the improved ant colony algorithm has good applicability to the inverse analysis of thermal parameters of concrete dam.
作者
倪智强
周兰庭
NI Zhi-qiang;ZHOU Lan-ting(a. State Key Laboratory of Hydrology-Water Resources ＆ Hydraulic Engineerin;b. College of Water Conservancy Hydropower Engineering, Hohai University, Nanjing 210098, China)
出处
《水电能源科学》
北大核心
2018年第4期82-85,共4页
Water Resources and Power
基金
国家自然科学基金项目(51209078)
关键词
混凝土坝
热学参数
改进蚁群算法
反演分析
concrete dam
thermal parameters
improved ant colony algorithm
inverse analysis
