Vol.58, No.3, 2019, pp.641-651, doi:10.32604/cmc.2019.04885
OPEN ACCESS
ARTICLE
Optimal Building Frame Column Design Based on the Genetic Algorithm
  • Tao Shen1,*, Yukari Nagai1, Chan Gao2
Knowledge Science, Japan Advanced Institute of Science and Technology, Nomi City, Ishikawa 923-1292, Japan.
Architecture Department, Huzhou University, Huzhou, Zhejiang, 313000, China.
* Corresponding Author: Tao Shen. Email: .
Abstract
Building structure is like the skeleton of the building, it bears the effects of various forces and forms a supporting system, which is the material basis on which the building depends. Hence building structure design is a vital part in architecture design, architects often explore novel applications of their technologies for building structure innovation. However, such searches relied on experiences, expertise or gut feeling. In this paper, a new design method for the optimal building frame column design based on the genetic algorithm is proposed. First of all, in order to construct the optimal model of the building frame column, building units are divided into three categories in general: building bottom, main building and building roof. Secondly, the genetic algorithm is introduced to optimize the building frame column. In the meantime, a PGA-Skeleton based concurrent genetic algorithm design plan is proposed to improve the optimization efficiency of the genetic algorithm. Finally, effectiveness of the mentioned algorithm is verified through the simulation experiment.
Keywords
Structure optimization, genetic algorithm, concurrent computation, conceptual design, simulation experiment.
Cite This Article
T. . Shen, Y. . Nagai and C. . Gao, "Optimal building frame column design based on the genetic algorithm," Computers, Materials & Continua, vol. 58, no.3, pp. 641–651, 2019.
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