Flow-induced Flutter Derivatives of Bridge Decks

This paper presents two-dimensional numerical simulations of the self-excited forces on two bridge decks: a streamlined one (Great Belt Bridge) and a bluff one (Sunshine Skyway Bridge). It employs forced vibration simulations using the Open-source code OpenFOAM for flutter derivative identifications...

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Main Authors: B. Su, Y. Liu, M. Chambalile, G. Wang, M. M. Alam, E. Barati
Format: Article
Language:English
Published: Isfahan University of Technology 2025-02-01
Series:Journal of Applied Fluid Mechanics
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Online Access:https://www.jafmonline.net/article_2600_b30667b4255863bf779077c0ec88bd76.pdf
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author B. Su
Y. Liu
M. Chambalile
G. Wang
M. M. Alam
E. Barati
author_facet B. Su
Y. Liu
M. Chambalile
G. Wang
M. M. Alam
E. Barati
author_sort B. Su
collection DOAJ
description This paper presents two-dimensional numerical simulations of the self-excited forces on two bridge decks: a streamlined one (Great Belt Bridge) and a bluff one (Sunshine Skyway Bridge). It employs forced vibration simulations using the Open-source code OpenFOAM for flutter derivative identifications. A wide sensitivity study is conducted on the effects of turbulence model, Reynolds number, vibration amplitude, and wind attack angle on flutter derivative identifications. The key findings are as follows. (i) k-ε model shows its superiority in simulating self-excited forces on a bluff bridge deck, while SST k-ω exhibits advantages in the case of a streamlined bridge deck. (ii) Compared with a streamlined bridge deck, flutter derivatives of a bluff bridge deck are more sensitive to the Reynolds number due to the generation of more vortices resulting from flow separation. Both the generation and convection of the vortices are largely affected by the Reynolds number. (iii) Flutter derivatives of the bridge decks can be considered as constants if the vertical amplitude ratio and torsional amplitude are lower than 0.025 and 2°, respectively. Increasing vibration amplitude may result in remarkable variations of some flutter derivatives. (iv) The angle of attack changes the flutter derivatives by affecting the wind pressure distribution on the bridge surface. Its impact on a bluff bridge deck is larger than on a streamlined bridge deck. Besides presenting a detailed study of identifying flutter derivatives using OpenFOAM, this research provides valuable references for setting reasonable values of the investigated factors for identifying flutter derivatives of bluff and streamlined bridge decks.
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institution Kabale University
issn 1735-3572
1735-3645
language English
publishDate 2025-02-01
publisher Isfahan University of Technology
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series Journal of Applied Fluid Mechanics
spelling doaj-art-963248cc372441b69f2d8d6ec1979a752025-02-09T07:16:03ZengIsfahan University of TechnologyJournal of Applied Fluid Mechanics1735-35721735-36452025-02-0118483584910.47176/jafm.18.4.30052600Flow-induced Flutter Derivatives of Bridge DecksB. Su0Y. Liu1M. Chambalile2G. Wang3M. M. Alam4E. Barati5Faculty of Civil Engineering and Mechanics, Jiangsu University, Zhenjiang 212000, ChinaFaculty of Civil Engineering and Mechanics, Jiangsu University, Zhenjiang 212000, ChinaFaculty of Civil Engineering and Mechanics, Jiangsu University, Zhenjiang 212000, ChinaFaculty of Civil Engineering and Mechanics, Jiangsu University, Zhenjiang 212000, ChinaCenter for Turbulence Control, Mechanical and Automation Engineering Department, Harbin Institute of Technology (Shenzhen), Shenzhen, 518055, ChinaDepartment of Mechanical Engineering, Khayyam University, Mashhad, IranThis paper presents two-dimensional numerical simulations of the self-excited forces on two bridge decks: a streamlined one (Great Belt Bridge) and a bluff one (Sunshine Skyway Bridge). It employs forced vibration simulations using the Open-source code OpenFOAM for flutter derivative identifications. A wide sensitivity study is conducted on the effects of turbulence model, Reynolds number, vibration amplitude, and wind attack angle on flutter derivative identifications. The key findings are as follows. (i) k-ε model shows its superiority in simulating self-excited forces on a bluff bridge deck, while SST k-ω exhibits advantages in the case of a streamlined bridge deck. (ii) Compared with a streamlined bridge deck, flutter derivatives of a bluff bridge deck are more sensitive to the Reynolds number due to the generation of more vortices resulting from flow separation. Both the generation and convection of the vortices are largely affected by the Reynolds number. (iii) Flutter derivatives of the bridge decks can be considered as constants if the vertical amplitude ratio and torsional amplitude are lower than 0.025 and 2°, respectively. Increasing vibration amplitude may result in remarkable variations of some flutter derivatives. (iv) The angle of attack changes the flutter derivatives by affecting the wind pressure distribution on the bridge surface. Its impact on a bluff bridge deck is larger than on a streamlined bridge deck. Besides presenting a detailed study of identifying flutter derivatives using OpenFOAM, this research provides valuable references for setting reasonable values of the investigated factors for identifying flutter derivatives of bluff and streamlined bridge decks.https://www.jafmonline.net/article_2600_b30667b4255863bf779077c0ec88bd76.pdfflutter derivativeturbulence modeamplitudeangle of attackreynolds number
spellingShingle B. Su
Y. Liu
M. Chambalile
G. Wang
M. M. Alam
E. Barati
Flow-induced Flutter Derivatives of Bridge Decks
Journal of Applied Fluid Mechanics
flutter derivative
turbulence mode
amplitude
angle of attack
reynolds number
title Flow-induced Flutter Derivatives of Bridge Decks
title_full Flow-induced Flutter Derivatives of Bridge Decks
title_fullStr Flow-induced Flutter Derivatives of Bridge Decks
title_full_unstemmed Flow-induced Flutter Derivatives of Bridge Decks
title_short Flow-induced Flutter Derivatives of Bridge Decks
title_sort flow induced flutter derivatives of bridge decks
topic flutter derivative
turbulence mode
amplitude
angle of attack
reynolds number
url https://www.jafmonline.net/article_2600_b30667b4255863bf779077c0ec88bd76.pdf
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AT yliu flowinducedflutterderivativesofbridgedecks
AT mchambalile flowinducedflutterderivativesofbridgedecks
AT gwang flowinducedflutterderivativesofbridgedecks
AT mmalam flowinducedflutterderivativesofbridgedecks
AT ebarati flowinducedflutterderivativesofbridgedecks