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Research On Optimization Of Prefabricated Concrete Structure Based On Improved Bat Algorithm

Posted on:2019-10-03Degree:MasterType:Thesis
Country:ChinaCandidate:Z YanFull Text:PDF
GTID:2382330596955321Subject:Engineering
Abstract/Summary:PDF Full Text Request
With the constant adjustment and optimization of China's economic structure,the former extensive development model of the construction industry is more and more inadaptable to actual situation.And the society is more and stricter to the environment,which makes the construction industry need to move towards a more green and energysaving direction.Fabricated residential buildings are favored by high assembly rate,environmental friendly and short construction period.On the basis of analyzing the characteristics of assembled concrete structure,this dissertation established an optimization model suitable for assembled concrete structure,and introduced the improved bat algorithm into practical engineering,which provides a new thought and method for the optimization of assembled concrete structure.The specific work is as follows:First of all,the characteristics of assembled concrete structure were analyzed and the optimization modeled was set up.A series of parameters such as period,mode shape and internal force before and after optimization were obtained and their reliability was analyzed according to the code.Secondly,in view of the shortcomings of the basic bat algorithm,such as poor convergence,inadequate optimization ability and slow iteration,a good point set was introduced to improve the initial population of the bat algorithm,so that the population distribution is more uniform.By weighting the basic bat algorithm,the adaptive micro bats can be found quickly,and the learning factor is introduced to enhance the global search ability of the bat algorithm.Using of classical examples verifies the performance of the improved algorithm.Finally,through the application of the actual project,the improved bat algorithm can optimize the assembly structure.The optimized building has better economic efficiency.This dissertation set up the optimization model and proposed the improved bat algorithm by using good point set and learning factor.Through the actual engineering,the beam-column section of the assembled structure was optimized by the improved algorithm.Finally,it is concluded that the optimized assembling structure meets the requirements of the code and has good economy,which improves the referential for similar structure optimization.
Keywords/Search Tags:Fabricated building, Optimal design, Bat algorithm, Learning factors, Good point set
PDF Full Text Request
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