基于人工蜂群算法的大体积混凝土温度场参数反演  

Parameter Inversion of Massive Concrete Temperature Field Based on Artificial Bee Colony Algorithm

作　　者：张石[1] 李同春[2] 程井[1] 肖妮[1] 

机构地区：[1]河海大学水利水电学院,江苏南京210098 [2]河海大学水资源高效利用与工程安全国家工程研究中心,江苏南京210098

出　　处：《水电能源科学》2014年第11期115-117,62,共4页Water Resources and Power

基　　金：水资源与水电工程科学国家重点实验室开放基金(2012B103);教育部博士点新教师基金(20100094120005);国家自然科学基金项目(51009056)

摘　　要：针对传统混凝土热学参数反分析计算量大、计算效率不高等特点,将人工蜂群算法引入到混凝土温度场计算中,提出基于该算法的反分析法,通过室内二期通水冷却试验,对通水冷却过程中大体积混凝土试件的导温系数及表面散热系数进行反演分析,并利用反演参数结果进行温度场反馈分析。结果表明,人工蜂群算法在温度场参数反演中具有很好的适用性,有效地提高了温度场参数反演的效率。Aiming at the large amount of calculation and low efficiency in the back analysis of traditional concrete thermal parameters,artificial bee colony algorithm is introduced to calculate the concrete temperature field,and inverse analysis temperature field are proposed.Inverse analysis of the mass concrete thermal conductivity and surface heat transfer coefficient is carried out by using indoor test of concrete second stage water cooling.The result of inversion parameters is used to feedback analysis of temperature field.The results show that artificial bee colony algorithm has great applicability to inverse analysis of temperature field and the algorithm effectively raises the efficiency of temperature field parameter inversion.

关 键 词：人工蜂群算法 大体积混凝土 热学参数 参数反演 

分 类 号：TV431[水利工程—水工结构工程] TV41