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    Öğe
    Design of non-linear steel frames for stress and displacement constraints with semi-rigid connections via genetic optimization
    (Springer, 2004) Hayalioglu, MS; Degertekin, SO
    A genetic-algorithm-based optimum design method is presented for non-linear steel frames with semi-rigid connections and column bases. The design algorithm obtains the minimum total cost, which comprises total member plus connection costs, by selecting suitable sections from a standard set of steel sections such as American Institute of Steel Construction (AISC) wide-flange (W) shapes. A genetic algorithm is employed as the optimization method, which utilizes reproduction, crossover and mutation operators. Displacement and stress constraints of AISC Allowable Stress Design (ASD) specification and size constraints for beams and columns are imposed on the frame. The algorithm requires a large number of non-linear analyses of frames. The analyses cover both the non-linear behavior of beam-to-column connection and P-Delta effects of beam-column members. The Frye and Morris polynomial model is used for modeling semi-rigid connections. Two design examples with various types of connections are presented to demonstrate the application of the algorithm. The semi-rigid connection and column base modeling results in more economical solutions than rigid connection modeling, but increases the sway of frames.
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    Öğe
    Genetic algorithm based optimum design of non-linear steel frames with semi-rigid connections
    (Techno-Press, 2004) Hayalioglu, MS; Degertekin, SO
    In this article, genetic algorithm based optimum design method is presented for non-linear steel frames with semi-rigid connections. The design algorithm obtains the minimum weight frame by selectin suitable sections from a standard set of steel sections such as European wide flange beams (i.e., HE sections). A genetic algorithm is employed as optimization method which utilizes reproduction. crossover and mutation operators. Displacement and stress constraints of Turkish Building Code for Steel Structures (TS 648, 1980) are imposed on the frame. The algorithm requires a lame number of non-linear analyses of frames. The analyses cover both the non-linear behaviour of beam-to-column connection and P-Delta effects of beam-column members. The Frye and Morris polynomial model is used for modelling of semi-rigid connections. Two design examples with various type of connections are presented to demonstrate the application of the algorithm. The semi-rigid connection modelling results in more economical solutions than rigid connection modelling, but it increases frame drift.
  • [ X ]
    Öğe
    Minimum cost design of steel frames with semi-rigid connections and column bases via genetic optimization
    (Pergamon-Elsevier Science Ltd, 2005) Hayalioglu, MS; Degertekin, SO
    In this paper, an optimum design method is presented for non-linear steel frames with semi-rigid connections and semi-rigid column bases using a genetic algorithm. The design algorithm obtains the minimum total cost which comprises total member plus connection costs by selecting suitable sections from a standard set of steel sections such as American Institute of Steel Construction (AISC) wide-flange (W) shapes. A genetic algorithm is employed as optimization method which utilizes reproduction, crossover and mutation operators. Displacement and stress constraints of AISC-Load and Resistance Factor Design (LRFD) specification and also size constraints for beams and columns are imposed on the frame. The Frye and Morris polynomial model and also a linear spring model are used for semi-rigid connections and column bases respectively. Three design examples with various type of connections are presented. The designs obtained using AISC-LRFD code are compared to those where AISC-Allowable Stress Design (ASD) is considered. The comparisons show that the former code yields frames with less costs. Moreover, the semi-rigid connection and column base modelling is compared to rigid connection modelling. (c) 2005 Elsevier Ltd. All rights reserved.