Estudo de Sensibilidade do Algoritmo de Colônia de Vagalumes para um Problema de Engenharia Envolvendo Dimensionamento de Treliças

Pereira, Larissa Longaray; Santos, Daniel C. Lorenzo; Moraes, Machado; Filho, Geraldo Machado; Ancioto, Edgar Marcos; Junior, Wanderlei Malaquias Pereira; Dantas, Maria José Pereira

doi:10.5540/tema.2020.021.03.583

Cited by 4 publications

(1 citation statement)

References 28 publications

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“…Table 7 presents the input parameters of the FA that were based on the study by Pereira et al [34]. In the present research, a total population of 10 individuals, randomly generated, will be considered.…”

Section: Bioinspired Optimization Algorithmmentioning

confidence: 99%

Optimum design of precast and prestressed beams with focus on CO2 emission reduction

Moraes

Junior²,

Almeida

et al. 2022

Rev. IBRACON Estrut. Mater.

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Among the main contributors to CO2 emissions on the ozone layer, the construction industry contributes with a significant portion. This emission is generated largely by applying concrete construction systems and their variations. Therefore, it is important to use tools that allow the development of projects which mitigate the effects of harmful gas emissions into the atmosphere. Thus, this study applied an optimization algorithm called Firefly Algorithm (FA) to design precast and prestressed rectangular beams focusing on reducing CO2 emissions in the structural design phase. The Objective Function (OF) was defined as the total weight of CO2 emitted in each construction phase (production, transportation, and placement) and the structural design constraints are based on the design criteria established in ABNT NBR 6118. The problem optimization’s variables are geometric properties and mechanical beam's conditions, where the beam height, beam width, the proportion of height generates prestressing eccentricity, and the proportion of prestressing load were considered as design variables. Ten beams were analyzed, with different loadings, where each of these beams was submitted to the optimization process thirty times. For the proposed conditions, the ten beams had an average CO2 emission of 3282.59 kg, maximum and minimum carbon emission of 3630.52 kg and 2910.67 kg, respectively. The study resulted in a feasibility rate higher than 90%, showing that the optimization tool was efficient in the structural design phase focusing on sustainability. Concerning carbon emission, it is possible to verify a relationship between the increase of emission and the load since element with greater inertia tend to emit a greater amount of CO2. It was also possible to determine a regression between carbon emission and beam load.

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Section: Bioinspired Optimization Algorithmmentioning

confidence: 99%

Optimum design of precast and prestressed beams with focus on CO2 emission reduction

Moraes

Junior²,

Almeida

et al. 2022

Rev. IBRACON Estrut. Mater.

Self Cite

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Comparative Analysis of the Mechanical Performance of Timber Trusses Structural Typologies Applying Computational Intelligence

Moraes

Fraga

Junior³

et al. 2022

Rev. Árvore

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Timber application is viable in constructive systems because of its mechanical properties, suitable for structural applications in engineering. Timber is even more interesting to use since it is a renewable source. Among its several applications, timber is widely used in roofing structures, with several typologies of trusses. Therefore, it is necessary to understand the behavior of plane truss in different loading conditions, including dead load, service load, and wind suction load. The mechanical performance of two trusses (Pratt and Scissor) was analyzed and compared, according to the Brazilian standard of timber structures ABNT NBR 7190 (1997) (methods and calculus premises), with the finite element method, an algorithm of swarm intelligence optimization (structure weight minimization), and a parametric study. Based on minimum weight and maximum displacement as a function of span variation, Pratt typology presented lower weight (3–19%) when compared with Scissor, under the same span and loading conditions. Regarding maximum displacements, Pratt typology presented lower displacement values than the Scissor typology. The difference between these values ranged from two to seven times, indicating that Scissor typology can better distribute normal loads (maximum displacement closer to the normative limit displacement). Variance analysis (5% of significance) confirmed these results.

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Computational Intelligence Applied in Optimal Design of Wooden Plane Trusses

et al. 2022

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Estudo de Sensibilidade do Algoritmo de Colônia de Vagalumes para um Problema de Engenharia Envolvendo Dimensionamento de Treliças

Cited by 4 publications

References 28 publications

Optimum design of precast and prestressed beams with focus on CO2 emission reduction

Optimum design of precast and prestressed beams with focus on CO2 emission reduction

Comparative Analysis of the Mechanical Performance of Timber Trusses Structural Typologies Applying Computational Intelligence

Computational Intelligence Applied in Optimal Design of Wooden Plane Trusses

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