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Application of the k-omega turbulence model to estimate the flutter derivatives of a long-span bridge

Authors: BRUSIANI, FEDERICO; CAZZOLI, GIULIO; DE MIRANDA, STEFANO; UBERTINI, FRANCESCO; P. Vaona;

Application of the k-omega turbulence model to estimate the flutter derivatives of a long-span bridge

Abstract

This paper considers the influence of the turbulence model adopted to numerically predict the aero-elastic phenomena in Fluid Structure Interaction (FSI) problems. After a detailed evaluation of the main suitable turbulence models available in the Reynolds Average Navier Stokes (RANS) approach, the two-equation k-ω turbulent model was identified as the best compromise between solution accuracy and computational cost. In order to test the k-ω turbulence model performance for FSI applications, a specific simulation methodology was defined. It was firstly tested in assessing the aerodynamic forces resulting on static bluff bodies for which experimental databases were available. Then, the simulation methodology based on the k-co turbulence model was used to reproduce the steady and unsteady aerodynamic forces induced on a Great Belt East bridge cross section subjected to wind load. In particular, the unsteady aerodynamic forces induced on the bridge were evaluated by calculating the flutter derivatives. As for the test cases, also for the Great Belt East bridge the computational results were compared to experimental evidence obtained by wind tunnel tests.

Country
Italy
Keywords

FLUTTER DERIVATIVES; LONG SPAN BRIDGE; NUMERICAL SIMULATION; TURBULENCE

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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