2018
DOI: 10.1590/1679-78254952
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A Comparison between different techniques for optimum design of steel frames subjected to blast

Abstract: According to the conditions of today's world, design of resistant structures against blast loading is an important subject that requires special attention. Thus, given the benefits of optimization in engineering, development and assessment of optimization methods for optimum design of structures against blast is of great importance. In this research, the optimum design of steel frame structures against blast loading is investigated. For this purpose first an optimization methodology is proposed. In the propose… Show more

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Cited by 7 publications
(3 citation statements)
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“…During the short period of time of this positive phase, pressure decays towards zero, after which a negative phase takes place. Then, the suction pressure increases up to a peak underpressure value and it is subsequently restored to zero at the end of the negative phase (Needham, 2010;Khaledy et al, 2018).…”
Section: Definition and Load Functionmentioning
confidence: 99%
“…During the short period of time of this positive phase, pressure decays towards zero, after which a negative phase takes place. Then, the suction pressure increases up to a peak underpressure value and it is subsequently restored to zero at the end of the negative phase (Needham, 2010;Khaledy et al, 2018).…”
Section: Definition and Load Functionmentioning
confidence: 99%
“…In both papers, the structures are modeled and analyzed using the Applied Element Method. Khaledy et al (2018) study the optimum design of 2D steel moment frames under blast loading using three techniques: Nonlinear Programming by Quadratic Lagrangian (NLPQL), Particle Swarm Optimization (PSO), and Multi Island Genetic Algorithm (MIGA). The weight of the structure is considered as the objective function and design variables are members' cross-sectional areas.…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, unbraced frame needs rigid beam-column connections to avoid very large displacement due to members' loss. Khaledy et al (2018) of the problem is not practical since the members cannot be directly selected from the AISC tables and the design code constraints cannot be imposed.…”
Section: Review Of Literaturementioning
confidence: 99%