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A synergistic study of a CFD and semi-analytical models for aeroelastic analysis of bridges in turbulent wind conditions
- Long-span bridges are prone to wind-induced vibrations. Therefore, a reliable representation of the aerodynamic forces acting on a bridge deck is of a major significance for the design of such structures. This paper presents a systematic study of the two-dimensional (2D) fluid-structure interaction of a bridge deck under smooth and turbulent wind conditions. Aerodynamic forces are modeled by twoLong-span bridges are prone to wind-induced vibrations. Therefore, a reliable representation of the aerodynamic forces acting on a bridge deck is of a major significance for the design of such structures. This paper presents a systematic study of the two-dimensional (2D) fluid-structure interaction of a bridge deck under smooth and turbulent wind conditions. Aerodynamic forces are modeled by two approaches: a computational fluid dynamics (CFD) model and six semi-analytical models. The vortex particle method is utilized for the CFD model and the free-stream turbulence is introduced by seeding vortex particles upstream of the deck with prescribed spectral characteristics. The employed semi-analytical models are based on the quasi-steady and linear unsteady assumptions and aerodynamic coefficients obtained from CFD analyses. The underlying assumptions of the semi-analytical aerodynamic models are used to interpret the results of buffeting forces and aeroelastic response due to a free-stream turbulence in comparison with the CFD model. Extensive discussions are provided to analyze the effect of linear fluid memory and quasi-steady nonlinearity from a CFD perspective. The outcome of the analyses indicates that the fluid memory is a governing effect in the buffeting forces and aeroelastic response, while the effect of the nonlinearity is overestimated by the quasi-steady models. Finally, flutter analyses are performed and the obtained critical velocities are further compared with wind tunnel results, followed by a brief examination of the post-flutter behavior. The results of this study provide a deeper understanding of the extent of which the applied models are able to replicate the physical processes for fluid-structure interaction phenomena in bridge aerodynamics and aeroelasticity.…
Document Type: | Preprint |
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Author: | M.Sc. Igor KavrakovORCiD, Prof.Dr. Guido MorgenthalORCiDGND |
DOI (Cite-Link): | https://doi.org/10.25643/bauhaus-universitaet.4087Cite-Link |
URN (Cite-Link): | https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20200206-40873Cite-Link |
Language: | English |
Date of Publication (online): | 2020/02/05 |
Date of first Publication: | 2018/07/06 |
Release Date: | 2020/02/06 |
Publishing Institution: | Bauhaus-Universität Weimar |
Institutes and partner institutions: | Fakultät Bauingenieurwesen / Professur Modellierung und Simulation - Konstruktion |
Tag: | Aerodynamic nonlinearity; Buffeting; Fluid memory; Flutter; Vortex particle method |
GND Keyword: | Ingenieurwissenschaften; Aerodynamik; Bridge |
Dewey Decimal Classification: | 000 Informatik, Informationswissenschaft, allgemeine Werke |
BKL-Classification: | 56 Bauwesen |
Licence (German): | Zweitveröffentlichung |
Note: | This is the pre-peer reviewed version of the following article: https://www.sciencedirect.com/science/article/abs/pii/S0889974617308423?via%3Dihub, which has been published in final form at https://doi.org/10.1016/j.jfluidstructs.2018.06.013 |