Weight optimization of large span steel truss structures with genetic algorithm

Journal Article · Tue Mar 10 04:00:00 EDT 2015 · AIP Conference Proceedings

DOI:https://doi.org/10.1063/1.4913138· OSTI ID:22391173

Mojolic, Cristian; Hulea, Radu; Pârv, Bianca Roxana ^[1]

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1. Technical University of Cluj-Napoca, Faculty of Civil Engineering, Department of Structural Mechanics, Str. Constantin Daicoviciu nr. 15, Cluj-Napoca (Romania)

The paper presents the weight optimization process of the main steel truss that supports the Slatina Sport Hall roof. The structure was loaded with self-weight, dead loads, live loads, snow, wind and temperature, grouped in eleven load cases. The optimization of the structure was made using genetic algorithms implemented in a Matlab code. A total number of four different cases were taken into consideration when trying to determine the lowest weight of the structure, depending on the types of connections with the concrete structure ( types of supports, bearing modes), and the possibility of the lower truss chord nodes to change their vertical position. A number of restrictions for tension, maximum displacement and buckling were enforced on the elements, and the cross sections are chosen by the program from a user data base. The results in each of the four cases were analyzed in terms of weight, element tension, element section and displacement. The paper presents the optimization process and the conclusions drawn.

• OSTI ID: 22391173
• Journal Information: AIP Conference Proceedings, Journal Name: AIP Conference Proceedings Journal Issue: 1 Vol. 1648; ISSN APCPCS; ISSN 0094-243X
• Country of Publication: United States
• Language: English

Related Subjects

42 ENGINEERING
ALGORITHMS
BEARINGS
BUCKLING
CONCRETES
OPTIMIZATION
STEELS
SURFACE TENSION
WEIGHT