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In this paper, the authors carried out the optimization of an isogrid structure considering six different responses: Tsai-Wu failure index under compression and torsion efforts; instability coefficient under compression and torsion efforts; mass and natural frequency. The response surface methodology was used to find the functions that describe the model from the data found by numerical analysis; and a new optimization algorithm called SunFlower Optimization (SFO) was used to find the best possible configurations. This paper shows something unprecedented in the literature to date when evaluating the compression, torsion, and modal performance of an isogrid tube. The simultaneous evaluation of several responses brings something more real to the scientific world, the results obtained here suggest that the optimal configuration for one response can be very bad for others and the use of a multi-objective optimization solved this problem.
Matheus Brendon Francisco; João Luiz Junho Pereira; Guilherme Antônio Oliver; Fernando Helton Sanches da Silva; Sebastião Simões da Cunha; Guilherme Ferreira Gomes. Multiobjective design optimization of CFRP isogrid tubes using sunflower optimization based on metamodel. Computers & Structures 2021, 249, 106508 .
AMA StyleMatheus Brendon Francisco, João Luiz Junho Pereira, Guilherme Antônio Oliver, Fernando Helton Sanches da Silva, Sebastião Simões da Cunha, Guilherme Ferreira Gomes. Multiobjective design optimization of CFRP isogrid tubes using sunflower optimization based on metamodel. Computers & Structures. 2021; 249 ():106508.
Chicago/Turabian StyleMatheus Brendon Francisco; João Luiz Junho Pereira; Guilherme Antônio Oliver; Fernando Helton Sanches da Silva; Sebastião Simões da Cunha; Guilherme Ferreira Gomes. 2021. "Multiobjective design optimization of CFRP isogrid tubes using sunflower optimization based on metamodel." Computers & Structures 249, no. : 106508.
This paper proposes a novel global optimization algorithm called Lichtenberg Algorithm (LA), inspired by the Lichtenberg figures patterns. Optimization is an essential tool to minimize or maximize functions, obtaining optimal results on costs, mass, energy, gains, among others. Actual problems may be multimodal, nonlinear, and discontinuous and may not be minimized by classical analytical methods that depend on the gradient. In this context there are metaheuristics algorithms inspired by natural phenomena to optimize real problems. There is no algorithm that is the worst or the best, but more efficient for a given type of problem. Thus, an unprecedented metaheuristic algorithm was created inspired by the physical phenomenon of radial intra-cloud lightning and Lichtenberg figures, successfully exploiting the fractal power and it is different from many in the literature as it is a hybrid algorithm composed of methods of search based on population and trajectory. Several test functions, including a design problem in a welded beam, were used to verify the robustness and to validate the Lichtenberg Algorithm. In all cases, the results were satisfactory when compared to those in the literature. LA shown to be a powerful optimization tool for both unconstraint optimizations and real problems with linear and nonlinear constraints.
João Luiz Junho Pereira; Matheus Brendon Francisco; Camila Aparecida Diniz; Guilherme Antônio Oliver; Sebastião Simões Cunha; Guilherme Ferreira Gomes. Lichtenberg algorithm: A novel hybrid physics-based meta-heuristic for global optimization. Expert Systems with Applications 2020, 170, 114522 .
AMA StyleJoão Luiz Junho Pereira, Matheus Brendon Francisco, Camila Aparecida Diniz, Guilherme Antônio Oliver, Sebastião Simões Cunha, Guilherme Ferreira Gomes. Lichtenberg algorithm: A novel hybrid physics-based meta-heuristic for global optimization. Expert Systems with Applications. 2020; 170 ():114522.
Chicago/Turabian StyleJoão Luiz Junho Pereira; Matheus Brendon Francisco; Camila Aparecida Diniz; Guilherme Antônio Oliver; Sebastião Simões Cunha; Guilherme Ferreira Gomes. 2020. "Lichtenberg algorithm: A novel hybrid physics-based meta-heuristic for global optimization." Expert Systems with Applications 170, no. : 114522.
The inadequate disposal of household appliances by consumers and industries have annually been generating enormous amounts of polymeric waste (PW). So, the interest in reuse of PW in civil construction has increased. The production of new cementitious materials, such as concrete with PW, proves to be a promising solution to inappropriate disposal of this waste. In this study, self-compacting concrete (SCC) was developed with partial replacement of the coarse aggregates by polymeric waste (PW) from the recycling of refrigerators. In the SCC reference mixture, Portland cement, silica fume, sand, gravel and superplasticizer were used. The study also grouped the gravel as replaced by 5%, 10%, 15% and 20% of PW. In order to analyze the samples, the following tests were used: spreading, viscosity, passing ability, compressive strength, tensile strength, microstructure, modulus of elasticity, specific gravity, absorption, voids index and electrical resistivity. The SCC found showed adequate homogeneity and viscosity, staying within the normative parameters. The mechanical resistance was above 20 MPa; specific mass between 1870 to 2260 kg/m3; modulus of elasticity ranged from 34 to 14 GPa; and electrical resistivity between 319 to 420 ohm.m. Due to the mechanical resistance, the SCC with PW can be used for structural purposes and densely reinforced structures such as pillars, beams and foundation elements.
Lucas Silva; Josimara Silva; Matheus Francisco; Vander Ribeiro; Michel Souza; Patricia Capellato; Marcelo Souza; Valquíria Santos; Paulo Gonçalves; Mirian Melo. Polymeric Waste from Recycling Refrigerators as an Aggregate for Self-Compacting Concrete. Sustainability 2020, 12, 8731 .
AMA StyleLucas Silva, Josimara Silva, Matheus Francisco, Vander Ribeiro, Michel Souza, Patricia Capellato, Marcelo Souza, Valquíria Santos, Paulo Gonçalves, Mirian Melo. Polymeric Waste from Recycling Refrigerators as an Aggregate for Self-Compacting Concrete. Sustainability. 2020; 12 (20):8731.
Chicago/Turabian StyleLucas Silva; Josimara Silva; Matheus Francisco; Vander Ribeiro; Michel Souza; Patricia Capellato; Marcelo Souza; Valquíria Santos; Paulo Gonçalves; Mirian Melo. 2020. "Polymeric Waste from Recycling Refrigerators as an Aggregate for Self-Compacting Concrete." Sustainability 12, no. 20: 8731.