Abstract
AbstractWith the development of construction industrialization technology, prefabricated construction technology overcomes the shortcomings of previous on-site pouring construction methods with its good economic and social benefits, and has become a research hotspot in the current construction industry. Using genetic algorithm to optimize the structure design of prefabricated concrete frame building (PCFB) can not only achieve better economic efficiency, but also ensure the safety of the structure. Based on this, this article will study the PCFB optimization based on genetic algorithm. This paper investigates the current application of prefabricated concrete frame structures and the application of component optimization based on Matlab genetic algorithm. This paper analyzes the advantages of PCFB and the obstacles to its development, and proposes a PCFB optimization scheme based on Matlab genetic algorithm. The survey data shows that with regard to the application of genetic algorithm and BIM technology in PCFB optimization, 94.94%, 86.71% and 83.23% are used for “component collision check”, “prefabricated component drawing”, and “project construction simulation” respectively. It can be seen that the genetic algorithm has considerable application effects in PCFB optimization.KeywordsBuilding structure optimizationGenetic algorithmPrefabricated buildingConcrete construction
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