基于遗传算法的混凝土施工通水冷却系统参数优化研究  

Genetic algorithm-based parameter optimization of water cooling system for concrete construction

作　　者：叶敏[1] 叶志强[1] 焦生杰[1] 

机构地区：[1]长安大学公路养护装备国家工程实验室,陕西西安710064

出　　处：《水利水电技术》2016年第2期19-23,共5页Water Resources and Hydropower Engineering

基　　金：教育部博士点基金(20110205110002)

摘　　要：针对蜀河水电站工程概况、水文地质和气象条件,基于传统公式计算出其混凝土施工通水冷却系统的关键参数。基于热力耦合和流固共轭传热方程建立了混凝土结构体通水冷却有限元仿真模型,实现了流固双向耦合数据传导,计算了混凝土结构体的温度场和应力场分布。以冷却系统的能源消耗最低为目标,采用加权法求取混凝土结构温度和应力作为遗传优化的判别条件,应用遗传算法对不同冷却水流速、冷却水温度和冷却水管直径进行了综合优化。优化结果表明,在保证总体冷却效果的同时,优化方案的经济性可提高16%,为混凝土施工通水冷却系统的高效节能提供了实证参考。In accordance with the project generals as well as the hydrological and meteorological conditions of Shuhe Hydropower Station,the key parameters of the water cooling system for its concrete construction are calculated on the basis of the conventional formula. Based on the thermal mechanical coupling and fluid-solid conjugate thermal conductivity equations,a finite element simulation model for the water cooling of concrete structure is established,and then the bidirectional fluid-solid coupling data transmission is realized,while the distributions of both the temperature field and the stress field of the concrete structure are calculated as well. By taking the minimum energy consumption as the target and adopting the derivation of temperature and stress of the concrete structure as the judging condition for the genetic optimization,the comprehensive optimization on various cooling water flowvelocities,temperatures and the diameters of cooling water pipe is made with the genetic algorithm. The optimization result shows that the economic performance of the optimized scheme can be enhanced by 16%,while the whole cooling effect is guaranteed;which lays an application basis for the high efficiency and energy conservation of the water cooling system for the concrete construction.

关 键 词：混凝土施工 通水冷却 遗传优化 流固共轭 热力耦合 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]