Optimization of steel floor systems using particle swarm optimization

Poitras, Gérard J.; Lefrançois, G.; Cormier, Gabriel

doi:10.1016/j.jcsr.2011.02.016

Cited by 42 publications

(33 citation statements)

References 15 publications

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“…The popularity of PSO is mainly due to its comprehensible performance as well as its simple operation [ 5 ]. Many researchers applied PSO to solve their problems in the fields of structural [ 6 – 8 ], environmental [ 9 – 11 ], hydrological [ 12 , 13 ], and geotechnical [ 14 – 16 ] engineering.…”

Section: Introductionmentioning

confidence: 99%

The Contribution of Particle Swarm Optimization to Three-Dimensional Slope Stability Analysis

Kalatehjari

Rashid

Ali

et al. 2014

The Scientific World Journal

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Over the last few years, particle swarm optimization (PSO) has been extensively applied in various geotechnical engineering including slope stability analysis. However, this contribution was limited to two-dimensional (2D) slope stability analysis. This paper applied PSO in three-dimensional (3D) slope stability problem to determine the critical slip surface (CSS) of soil slopes. A detailed description of adopted PSO was presented to provide a good basis for more contribution of this technique to the field of 3D slope stability problems. A general rotating ellipsoid shape was introduced as the specific particle for 3D slope stability analysis. A detailed sensitivity analysis was designed and performed to find the optimum values of parameters of PSO. Example problems were used to evaluate the applicability of PSO in determining the CSS of 3D slopes. The first example presented a comparison between the results of PSO and PLAXI-3D finite element software and the second example compared the ability of PSO to determine the CSS of 3D slopes with other optimization methods from the literature. The results demonstrated the efficiency and effectiveness of PSO in determining the CSS of 3D soil slopes.

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Section: Introductionmentioning

confidence: 99%

The Contribution of Particle Swarm Optimization to Three-Dimensional Slope Stability Analysis

Kalatehjari

Rashid

Ali

et al. 2014

The Scientific World Journal

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“…They presented a detailed objective function which took the complete structure's manufacturing costs into account. Poitras et al [7] incorporated both mass and cost objective functions into the particle swarm optimization algorithm for minimizing the cost of composite floor systems whose components satisfy Canadian CSA S16 standard requirements. They evaluated different degrees of composite action and interestingly, results revealed an increase in the percentage of composite action is not always proportional to the drop in cost.…”

Section: Survey Of the Pertinent Literaturementioning

confidence: 99%

Cost Optimization of Steel-concrete Composite Floor Systems with Castellated Steel Beams

Kaveh

Fakoor

2020

Period. Polytech. Civil Eng.

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Performance of cost optimization program of composite steel deck-slabs (DS) and supporting castellated beams (CB) consisting of interior beams, edge beams and girders is proposed in this paper. The program applies the vibrating particle system (VPS) meta-heuristic algorithm, which imitates the free vibration of ideal one-story frame structures with viscous damping. The program is also furnished with an advanced cost function, which takes into account both material and fabrication costs of all parts of the floor system. The effect of four major cost reduction procedures and additional cost-saving techniques are studied on the cost function. Considering various DS profiles, altering the dimensions of hexagonal openings, different number of floor divisions and choosing costlier DSs except the optimal deck are the major cost reduction procedures. Inclusion of partial composite action for CBs, infilling certain openings of CBs and applying camber are the supplementary economizing techniques. To realize the economy of LRFD method, a meticulous design theory of composite CBs in adherence with LRFD principles of AISC 360-16 specifications is applied to the formulation of the strength constraints. Due to excessive deflections and due emphasis on vibration control of CBs, we implement accurate design procedures for the formulation of the serviceability constraints. Performance and superiority of the proposed optimization program is validated by studying three distinct real-size design examples taken from the literatures.

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“…Such problems include the sizing of individual members (sizing optimization problems), the selection of the most efficient placing of structural members (topology optimization) or a combination of both in order to achieve a single or multiple goals at the same time (multiobjective optimization). The existing literature is rich of papers proposing and applying optimization algorithms in structural problems [62][63][64][65][66][67][68][69][70][71][72][73][74][75][76][77][78].…”

Section: Application On Structural Optimizationmentioning

confidence: 99%

Assessment of the Effectiveness of Cabling System Configuration in Retrofitting Steel-Concrete Composite Buildings

Papavasileiou¹

2017

Proceedings of the 6th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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Optimization of steel floor systems using particle swarm optimization

Cited by 42 publications

References 15 publications

The Contribution of Particle Swarm Optimization to Three-Dimensional Slope Stability Analysis

The Contribution of Particle Swarm Optimization to Three-Dimensional Slope Stability Analysis

Cost Optimization of Steel-concrete Composite Floor Systems with Castellated Steel Beams

Assessment of the Effectiveness of Cabling System Configuration in Retrofitting Steel-Concrete Composite Buildings

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