Browsing by Subject "Load and resistance factor designs"

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    An improved particle swarm optimizer for steel grillage systems
    (Techno-Press, 2013) Erdal F.; Doǧan E.; Saka M.P.
    In this paper, an improved version of particle swarm optimization based optimum design algorithm (IPSO) is presented for the steel grillage systems. The optimum design problem is formulated considering the provisions of American Institute of Steel Construction concerning Load and Resistance Factor Design. The optimum design algorithm selects the appropriate W-sections for the beams of the grillage system such that the design constraints are satisfied and the grillage weight is the minimum. When an improved version of the technique is extended to be implemented, the related results and convergence performance prove to be better than the simple particle swarm optimization algorithm and some other meta-heuristic optimization techniques. The efficiency of different inertia weight parameters of the proposed algorithm is also numerically investigated considering a number of numerical grillage system examples. Copyright © 2013 Techno-Press, Ltd.
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    Weight optimization of steel frames with cellular beams through improved hunting search algorithm
    (SAGE Publications Inc., 2020) Dogan E.; Ozyuksel Ciftcioglu A.
    Hunting search method–based optimum design algorithm is presented to investigate the weight optimization of steel frames with cellular beams. Unlike practical applications where rolled sections are assigned to both the beams and columns, built-up sections are used for beams. Design specifications including the design of steel frames and that of cellular beams are taken from Load and Resistance Factor Design–American Institute of Steel Construction. The algorithm presented selects optimal W-sections to be used for the members of the unbraced plane frame from the ready section pool of the same code. In addition, number of holes and hole diameter of the beams are selected for optimal frame by the algorithm for satisfying the design constraints and making the weight of the frame to be minimum. Besides, Levy Flight procedure is also adopted to the simple hunting search method for better designs. Optimized steel frames with cellular beams are then analyzed by ABAQUS three-dimensional finite element software. The results attained from nonlinear finite element analysis of the steel frames are then taken into account for comparison with optimization outcomes. Results reveal that designing the beam members as cellular beams reduces the weight of the frame. © The Author(s) 2019.