Fuzzy-Genetic System Applied to Topology Optimization of Cable-Trusses Modular Design

Finotto, V. C.; Silva, Wilson R. L. da; Griffin, John; Valášek, Michael

doi:10.1007/978-3-642-32645-5_30

Cited by 4 publications

(4 citation statements)

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“…Modularity in design consists in patterning basic modules to form more complex structures. This approach can be used in the design of discrete structures such as trusses, tensegrities, and cabled-trusses [13]. The use of the modular approach allows for decreasing the total number of design parameters and for speeding up the analysis while limiting the search space.…”

Section: Gs12m: Spatial Modular Robotic Manipulatormentioning

confidence: 99%

“…Previous researches [13,14] explored cabled-trusses within civil engineering benchmarks; whereas the application of cabled-truss designs in mechanical engineering was not yet investigated. Thus, this work aims to explores the suitability of cabled-trusses in mechanical engineering applications where the design space is strictly bounded and forces are likely to change direction.…”

Section: Introductionmentioning

confidence: 99%

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Hybrid optimization of cabled-trusses: Benchmarks for mechanical engineering

Finotto

Silva

Valášek

et al. 2015

Journal of Intelligent &Amp; Fuzzy Systems

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This paper proposes cabled-trusses benchmarks for mechanical engineering applications and provides suitable tools for modeling and optimization of cabled-trusses. These structures correspond to a system of cables and triangular bar formations jointed at their ends by hinged connections to form a rigid framework. The optimized cabled-truss is determined through a discrete optimization procedure that uses nonlinear finite element analysis, genetic algorithm, and fuzzy logic. In this work, planar and spatial trusses and cabled-trusses are optimized to achieve minimum weight designs. Also, the structural performance of the optimized structures is compared. In summary, the results show that cabled-trusses feature improvements over trusses.

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Section: Gs12m: Spatial Modular Robotic Manipulatormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Hybrid optimization of cabled-trusses: Benchmarks for mechanical engineering

Finotto

Silva

Valášek

et al. 2015

Journal of Intelligent &Amp; Fuzzy Systems

Self Cite

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“…The combination of sizing and topology optimization methods is an efficient way to achieve optimal design of cabled-trusses [33,37]. This is because the initial pre-stress depends on both the initial strain (sizing) and the length and orientation of the element (topology).…”

Section: Cabled-trusses Optimizationmentioning

confidence: 99%

“…This can be achieved by using expert-based rules to identify the most suitable individuals during the stochastic search. This approach was proposed in [33,37]; in particular, fuzzy logic-based rules were used to classify and filter the population generated by the GA. The classification indicates the individuals (i.e.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity analysis of fuzzy-genetic approach applied to cabled-truss design

Finotto

Silva

Štemberk

et al. 2014

Journal of Intelligent &Amp; Fuzzy Systems

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This paper sheds light on a fuzzy-genetic system applied to optimize cabled-truss structures. The optimization procedure combines ground structure approach, nonlinear finite element analysis, genetic algorithm, and fuzzy logic. The latter is used to include expertise in the evolutionary search to classify and filter individuals with low survival possibility (s p ). The classification is based on a scale that varies from 0% to 100%, and the filtering depends on a threshold value (S pt ) defined by the user. Particularly, the individuals with s p ≤ S pt are not evaluated, thereby decreasing the total number of evaluations. Although this approach proved suitable to reduce computational cost, the effect of different S pt values on the system's performance was not yet investigated. In that light, this work aims to present a sensitivity analysis of the fuzzy-genetic optimization system to variations of S pt . For that, the system was applied to ground structures with 10 elements and S pt values ranging from 0% to 100%. The results were compared by means of the analysis of variance test in order to investigate the effects of S pt on the system's performance and to identify the optimum S pt , which was found to be of 60% for the studied case.

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