Genetic algorithms for optimal design of underground reinforced concrete tube structure

Author

Zhao, Sheng-Li ; Li, Min-qiang ; Kou, Ji-Song ; Liu, Yan

Author_Institution

Sch. of Manage., Tianjin Univ., China

Volume

4

fYear

2004

fDate

26-29 Aug. 2004

Firstpage

2307

Abstract

Applying genetic algorithms to optimal design of underground reinforced concrete tube structure, the author develops the optimal model of structural design based on genetic algorithms for underground reinforced concrete tube. An example of the reinforced concrete tube structure is calculated by the proposed computer programs based on genetic algorithms optimal model, and the result indicates that using genetic algorithms for optimizing the design of underground reinforced concrete tube structure can reduce the engineering cost in a large degree, and also guarantee the safety of structure. Therefore, this method is feasible and effective.

Keywords

concrete; construction components; design for quality; genetic algorithms; structural engineering; genetic algorithms optimal model; structural design; underground reinforced concrete tube structure; Agricultural engineering; Algorithm design and analysis; Biological cells; Concrete; Cost function; Design engineering; Design optimization; Genetic algorithms; Genetic mutations; Safety;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on

Print_ISBN

0-7803-8403-2

Type

conf

DOI

10.1109/ICMLC.2004.1382184

Filename

1382184