Abstract：
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 15.193 kW·h/m2 (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.
SHAN Ru-dai,LIU Guan-nan,XIA Xiao-dong et al. Genetic Algorithm-Based Study on Optimistic Design of Enclosure Structure[J]. Architecture Technology, 2018, 49(2): 145-.
