Genetic algorithm optimization of composite and steel endplate semi-rigid joints

Ramires, Fernando Busato; Andrade, S.A.L. de; Vellasco, P.C.G. da S.; Lima, Luciano Rodrigues Ornelas de

doi:10.1016/j.engstruct.2012.05.051

Cited by 22 publications

(7 citation statements)

References 7 publications

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“…Finally, in an attempt to optimise composite semi-rigid joints with steel end-plates, genetic algorithms were used to develop automatic procedures that obtain the best solution for this type of connection (Ramires et al, 2012).…”

Section: Figurementioning

confidence: 99%

State of the art of steel–concrete composite structures in Brazil

Nardin¹,

Debs²

2013

Proceedings of the Institution of Civil Engineers - Civil Engin

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Steel-concrete composite structures are now increasingly used in Brazil and are the subject of significant research by the country's leading universities. This paper summarises the typology, state of the art and usage of steelcomposite structures from a Brazilian perspective. It presents the concepts, definitions and design philosophy for basic structural elements, including composite slabs, beams and columns, and also for various types of connections.Summaries of the extensive research findings are presented for each composite element. The paper concludes with a call for all the research results to be condensed into a single design manual, which in turn will help Brazil's fastgrowing construction industry take full advantage of the benefits of composite construction techniques.

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Section: Figurementioning

confidence: 99%

State of the art of steel–concrete composite structures in Brazil

Nardin¹,

Debs²

2013

Proceedings of the Institution of Civil Engineers - Civil Engin

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“…Genetic Algorithm. In the past few years, genetic algorithm has been widely applied in a broad spectrum of realworld systems [24][25][26]. This approach starts with randomly generated population, and individuals with better fitness will be selected as the basis of the next generation.…”

Section: Surface Plotmentioning

confidence: 99%

Modeling and Parameter Analysis of the OC3-Hywind Floating Wind Turbine with a Tuned Mass Damper in Nacelle

Karimi

Gao

2013

Journal of Applied Mathematics

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Floating wind turbine will suffer from more fatigue and ultimate loads compared with fixed-bottom installation due to its floating foundation, while structural control offers a possible solution for direct load reduction. This paper deals with the modelling and parameter tuning of a spar-type floating wind turbine with a tuned mass damper (TMD) installed in nacelle. First of all, a mathematical model for the platform surge-heave-pitch motion and TMD-nacelle interaction is established based on D’Alembert’s principle. Both intrinsic dynamics and external hydro and mooring effects are captured in the model, while tower flexibility is also featured. Then, different parameter tuning methods are adopted to determine the TMD parameters for effective load reduction. Finally, fully coupled nonlinear wind turbine simulations with different designs are conducted in different wind and wave conditions. The results demonstrate that the design of TMD with small spring and damping coefficients will achieve much load reduction in the above rated condition. However, it will deteriorate system performance when the turbine is working in the below rated or parked situations. In contrast, the design with large spring and damping constants will produce moderate load reduction in all working conditions.

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“…Since the first relevant works carried out in the field of structural optimization [14,15], the interest in the application of these techniques has grown a great deal, due to the different structural typologies studied (steel structures [16], reinforced or pre-stressed concrete structures [17,18], or composite structures [19][20][21][22][23][24]), as well as for the methods and algorithms used [25,26]. However, researchers have focused, to a large extent, on the cost optimization of these types of structures.…”

Section: Introductionmentioning

confidence: 99%

Heuristic Techniques for the Design of Steel-Concrete Composite Pedestrian Bridges

et al. 2019

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The objective of this work was to apply heuristic optimization techniques to a steel-concrete composite pedestrian bridge, modeled like a beam on two supports. A program has been developed in Fortran programming language, capable of generating pedestrian bridges, checking them, and evaluating their cost. The following algorithms were implemented: descent local search (DLS), a hybrid simulated annealing with a mutation operator (SAMO2), and a glow-worms swarm optimization (GSO) in two variants. The first one only considers the GSO and the second combines GSO and DLS, applying the DSL heuristic to the best solutions obtained by the GSO. The results were compared according to the lowest cost. The GSO and DLS algorithms combined obtained the best results in terms of cost. Furthermore, a comparison between the CO2 emissions associated with the amount of materials obtained by every heuristic technique and the original design solution were studied. Finally, a parametric study was carried out according to the span length of the pedestrian bridge.

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Genetic algorithm optimization of composite and steel endplate semi-rigid joints

Cited by 22 publications

References 7 publications

State of the art of steel–concrete composite structures in Brazil

State of the art of steel–concrete composite structures in Brazil

Modeling and Parameter Analysis of the OC3-Hywind Floating Wind Turbine with a Tuned Mass Damper in Nacelle

Heuristic Techniques for the Design of Steel-Concrete Composite Pedestrian Bridges

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