Publication: Study on integrated computer aided design method for series of steel roof truss based on Genetic Algorithm
Issued Date
2013-01-01
Resource Type
Other identifier(s)
2-s2.0-84923206316
Rights
Mahidol University
Rights Holder(s)
SCOPUS
Bibliographic Citation
ISEC 2013 - 7th International Structural Engineering and Construction Conference: New Developments in Structural Engineering and Construction. (2013), 315-320
Suggested Citation
W. Punurai, W. Nantayatron, N. Pholdee Study on integrated computer aided design method for series of steel roof truss based on Genetic Algorithm. ISEC 2013 - 7th International Structural Engineering and Construction Conference: New Developments in Structural Engineering and Construction. (2013), 315-320. doi:10.3850/978-981-07-5354-2-St-120-364 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/31772
Research Projects
Organizational Units
Authors
Journal Issue
Thesis
Title
Study on integrated computer aided design method for series of steel roof truss based on Genetic Algorithm
Author(s)
Other Contributor(s)
Abstract
Copyright © 2013 by Research Publishing Services. Steel roof trusses of industrial buildings usually have repeating patterns. The automatic selection of size, shape and topology variables will reduce environmental impacts and provide additional cost savings. In this study, an integrated design method incorporating a simple Genetic Algorithm (GA) is developed for discrete optimization of two dimensional repeating pattern steel trusses. The objective function, considered solely the total weight, is minimized subjected to serviceability and strength requirements. The GA-FEM based design approach is developed as a module in MATLAB. Special features include seven design configuration variables, an open format for prescribing loading conditions, design checking criterion using AISC specification, and a comprehensive database of available commercial steel member sizes. The results found in the optimization process help the designer providing valuable preliminary conclusions guiding to good final solutions while avoiding the repetitive evaluation of trialand-error designs in a time consuming process.