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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, SOA 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.Öğe Genetic algorithm based optimum design of non-linear steel frames with semi-rigid connections(Techno-Press, 2004) Hayalioglu, MS; Degertekin, SOIn 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.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, SOIn 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.Öğe Optimization of frames and trusses under natural frequency constraints(Civil Comp Press, 1997) Hayalioglu, MS; Ulker, MThis paper demonstrates an optimization algorithm of frames and trusses considering natural frequency constraints. The fundamental natural frequency of a structure is required to be greater than or equal to its prescribed value. The optimality criterion method is used to develop a recursive relationship for the weight minimizing problem. This relationship and a single Lagrange multiplier are derived for member groups in the structure. A lumped mass model is adopted in the free vibration analyses and large non-structural masses are imposed on the structures. A number of design examples are presented to demonstrate the application of the algorithm. Optimum designs of the same structures are obtained for various frequency constraints.Öğe Optimum design of geometrically non-linear elastic-plastic steel frames via genetic algorithm(Pergamon-Elsevier Science Ltd, 2000) Hayalioglu, MSIn this article, a genetic algorithm (GA) is presented for the optimum design of geometrically non-linear elastic-plastic steel frames with discrete design variables. Design variables an selected from practically available sets of standard steel sections. Relatively large displacement restrictions are considered in the optimum designs. The simple GA used here utilizes reproduction, crossover and mutation operators. The algorithm requires a large number of nonlinear analyses of frames. The analyses cover geometric non-linearities and, elastic-plastic effects of the material as well. An incremental load approach with a Newton-Raphson type of iteration is used in the analyses of the frames. The application of the algorithm is shown by a number of design examples. The designs obtained for non-linear elastic-plastic frames are compared to those where linear-elastic behaviour is assumed. (C) 2000 Elsevier Science Ltd. All rights reserved.Öğe Optimum load and resistance factor design of steel space frames using genetic algorithm(Springer-Verlag, 2001) Hayalioglu, MSIn this paper, an algorithm is presented for the minimum weight design of steel moment-resisting space frames subjected to American Institute of Steel Construction (AISC) Load and Resistance Factor Design (LRFD) specification. A genetic algorithm (GA) is utilized herein as the optimization method. Design variables which are cross-sectional areas are discrete and are selected from the standard set of AISC wide-flange (W) shapes. The structure is subjected to wind loading in accordance with the Uniform Building Code (UBC) in conjunction with vertical loads (dead and live loads). Displacement and AISC LRFD stress constraints are imposed on the structure. The algorithm is applied to the design of three space frame structures. 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 results in lighter structures for the examples presented.Öğe Optimum load and resistance factor design of steel space frames using genetic algorithm (vol 21, pg 292, 2001)(Springer-Verlag, 2002) Hayalioglu, MS[Abstract Not Available]
