期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2018
卷号：189
期号：2
页码：022077
DOI：10.1088/1755-1315/189/2/022077
语种：English
出版社：IOP Publishing
摘要：Considering the multi-objective characteristics of the self insulation hollow block optimization problem, the thermal performance objective function, the mechanical performance objective function and the economic performance objective function are established for the self insulation block. The multi-objective function optimization method based on genetic algorithm is used to optimize the thermal performance, mechanical performance and economy of the hollow block. The opening rate, heat transfer coefficient and compressive strength of the three row interlaced hollow block, four row of staggered hollow block and five row of staggered hollow block were analyzed by using the ABAQUS finite element software. The results show that the opening rate of the five row staggered holes is 38.9% and the heat transfer coefficient is 0.592 W / (m2 ⋅ K). The insulation performance of the three and four row hollow blocks is better and the compressive strength is 10.23 Mpa, which meets the strength requirement of the bearing structure.
Loading...
