A design optimization problem for steel box girder sections is formulated and a numerical solution procedure is presented. The formulation is based on the load and resistance factor design (LRFD) procedure. The application of genetic algorithms (GAs) for a class of numerical examples is investigated. The steel box girder may have longitudinal stiffeners on flanges and webs and transverse intermediate stiffeners. Thus, the design variables may be continuous or discrete, which naturally makes the use of GAs attractive. Design constraints represent the LRFD versions of the Standard Specifications of Korean Highway Bridges. The dimensions of concrete slab and other appurtenance are assumed to be pre-determined and minimization of the unit weight of the steel box girder is taken as a design objective. As the numerical optimizers, the Internet version of simple GA (SGA) and micro-GA (μGA) are used and their performance and results are compared. In addition, the sequential quadratic programming algorithm is also applied for purposes of comparison. It is found that μGA with the population size of 5 is a suitable and reliable tool for the design optimization of steel box girder sections. The resulting design can be effectively used as an initial design for practical proportioning
LRFD-based design optimization of steel box girder sections using genetic algorithms
KSCE J Civ Eng
KSCE Journal of Civil Engineering ; 6 , 2 ; 127-134
2002-06-01
8 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
AASHTO LRFD bridge design specifications : SI units
TIBKAT | 2004
|Europäisches Patentamt | 2024
|Influence of secondary torsion on curved steel girder bridges with box and I-girder cross-sections
Springer Verlag | 2015
|