2015
DOI: 10.1016/j.apacoust.2015.03.025
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Using spectral finite elements for parametric analysis of the vibration reduction index of heavy junctions oriented to flanking transmissions and EN-12354 prediction method

Abstract: The vibration reduction index of heavy junctions is predicted by means of a model based on spectral finite elements. This is equivalent to a finite element method but faster and with smaller computational costs. This advantage is used in order to perform a parametric analysis of the vibration reduction index for several junction types: T-shaped, L-shaped and +-shaped. The influence of several parameters such as: damping, junction dimensions or the mass ratio on the vibration reduction index is observed. The st… Show more

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Cited by 13 publications
(30 citation statements)
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“…The option here is to leave this aspect free and allow in-plane (longitudinal and transverse shear) waves to play their role if this is the case. The SFEM numerical model details as well as validations were presented in [13]. The numerical model, based on shell Spectral Finite Elements (SFEM [16][17][18]), is an efficient alternative to solve the elastodynamic problem in structures composed of extrusion symmetry shells in the frequency domain.…”
Section: Methodsmentioning
confidence: 99%
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“…The option here is to leave this aspect free and allow in-plane (longitudinal and transverse shear) waves to play their role if this is the case. The SFEM numerical model details as well as validations were presented in [13]. The numerical model, based on shell Spectral Finite Elements (SFEM [16][17][18]), is an efficient alternative to solve the elastodynamic problem in structures composed of extrusion symmetry shells in the frequency domain.…”
Section: Methodsmentioning
confidence: 99%
“…A more general and large comparison was done in the framework of [14] where it was compared with wavebased models and K ij computations done with other FEM software. The model was also compared with K ij measurements on real junctions made in the laboratory [13].…”
Section: Methodsmentioning
confidence: 99%
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