基于遗传算法的围护结构优化设计研究  

GENETIC ALGORITHM-BASED STUDY ON OPTIMISTIC DESIGN OF ENCLOSURE STRUCTURE

作　　者：山如黛[1] 刘冠男 夏晓东[1] 石铁矛[1] 

机构地区：[1]沈阳建筑大学生态低碳城镇化与绿色建筑工程技术中心,沈阳110000

出　　处：《建筑技术》2018年第2期145-148,共4页Architecture Technology

基　　金：国家自然科学基金(51708364)

摘　　要：针对围护结构节能设计参数复杂多样,设计方案模拟运算工作量大,择优过程耗时长,最优解难以快速准确得出的问题,提出一种基于遗传算法的建筑围护结构优化设计方法。结果显示,在百万余种设计组合中,当建筑围护结构影响因子设计参数取值为模拟最优组解时,建筑年使用能耗量最低可达15.193 k W·h/m2(南向)。经认证,此解为设计目标函数最小值。从而证明,基于遗传算法的建筑围护结构节能设计优化方法在设计方案复杂多样的情况下,可准确高效地进行优化运算并辅助筛选,得出既定目标最佳设计方案。Energy-saving design of enclosure structure involves complex and diversified parameters, heavy simulative computation and long period of excellent design scheme selection. This paper proposed a genetic algorithm-based optimistic method for building enclosure structure design, to solve the problem which is difficult to be solved by using the optimum scheme. It was found that the least energy consumption of building per annum may reach 15.193kW·h/m^2 （southward） when the design value of enclosure structure influencing factor is the optimum simulative solution among more than a million of design combination schemes. It has been proved that this solution is the minimum value of design object function. Therefore, it was verified that optimum method for energy-saving design of building enclosure structure could accurately and effectively realize optimum computation and screen out the optimum design scheme for planned objective.

关 键 词：遗传算法 围护结构 优化设计 严寒地区 办公空间 

分 类 号：TU528.38[建筑科学—建筑技术科学]