Journal Structural and Multidisciplinary Optimization - Requested papers

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Journal Structural and Multidisciplinary Optimization - Requested papers

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A genetic algorithm for design of moment-resisting steel frames

Author: Prakash Kripakaran, Brian Hall and Abhinav Gupta | Size: 0.65 MB | Format: PDF | Quality: Original preprint | Publisher: Structural and Multidisciplinary Optimization Volume 44, Number 4 | Year: 2011 | pages: 559-574 | ISSN: 1615-1488

This paper presents computational approaches that can be implemented in a decision support system for the design of moment-resisting steel frames. Trade-off studies are performed using genetic algorithms to evaluate the savings due to the inclusion of the cost of connections in the optimization model. Since the labor costs and material costs vary according to the geographical location and time of construction, the trade-off curves are computed for several values of the ratio between the cost of rigid connection and the cost of steel. A real-life 5-bay 5-story frame is used for illustration. Results indicate that the total cost of the frame is minimal when rigid connections are present only at certain locations. Finally, “Modeling to Generate Alternatives—MGA,” is proposed to generate good design alternatives as the solution from optimization may not be optimal with respect to the unmodeled objectives and constraints. It provides a set of alternatives that are near-optimal with respect to the modelled objectives and that are also farther from each other in the decision space. Results show that a final design could be chosen from the set of alternatives or obtained by tinkering one of the alternatives.

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Using genetic algorithm for the optimization of seismic behavior of steel planar frames with semi-rigid connections

Author: Asghar Vatani Oskouei, Sahand Sarioletlagh Fard and Orhan Aksogan | Size: 1.30 MB | Format: PDF | Quality: Original preprint | Publisher: Structural and Multidisciplinary Optimization Volume 45, Number 2 | Year: 2012 | pages: 287-302 | ISBN: 1615-1488

Beam-column connections have a significant role in the results of the analysis and the design of steel frames. In this paper, a genetic algorithm has been used for the non-linear analysis and design of steel frames. For minimizing the weight of frames, while satisfying the applied constraints and restraints such as the limits of normal and combined stresses, criteria such as target displacement(s) and the number and locations of plastic hinges were used. To analyze and design the frame elements, I and box-shaped standard sections were used for beams and columns, respectively. Finally, some clues for finding optimizing semi-rigid connection stiffness values for beam-to-column connections have been obtained. The degrees of these rigidities are obtained by a genetic algorithm during the procedure of optimization in order to reach a frame with the minimum weight. SAP2000 structural analysis program was used to perform modal analysis and linear and non-linear static solutions as well as the design of the elements. A MATLAB program was written for the process of optimization. The procedure of optimization was based on a weight minimization carried out for 9 steel frames. Thus, the optimum connection stiffness could be obtained for minimizing the weight of the structure. The results show that the non-linear analysis gives less weight for short period frames with semi-rigid connections compared to those of linear ones. However, by increasing the periods of frames, much less weights are obtained in the case of non-linear analysis with semi-rigid connections.

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