Technical Papers
Sep 13, 2024

2D Aerodynamic Admittances of a Streamlined Box Bridge Deck in Various Turbulent Flows

Publication: Journal of Bridge Engineering
Volume 29, Issue 11

Abstract

Due to the influence of the three-dimensional (3D) effect, the identification accuracy of 3D aerodynamic admittance functions (AAFs) would inevitably be influenced by the ratio of turbulent integral scale to model dimension (dimensionless integral scale). For this, the two-dimensional (2D) AAFs of a streamlined bridge deck in different turbulent flow fields are experimentally investigated, wherein the 2D AAF is determined by separating out the 3D effect from the 3D AAF. Consistent with the previous studies, the 3D AAFs exhibit significant flow field dependence, and are less than the Sears function in low-frequency range. Different from the 3D AAF, the 2D AAFs obtained in two turbulent flow fields are higher than the Sears function and have a good consistency in various turbulent flows. It can be therefore considered that the identification accuracy of 2D AAF of a streamlined bridge deck is not related to the dimensionless integral scale, which might avoid the possible deviation caused by the mismatch of integral scale in the wind tunnel test. An empirical formula for the 2D AAF of a streamlined bridge deck is then proposed by fitting the experimental data. In addition, to further examine the validity of above conclusion, a comparison between the 3D AAFs of a streamlined bridge deck measured in other wind tunnel tests and the predictions calculated with the present 2D AAF is also made.

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Acknowledgments

This study is supported by the National Natural Science Foundation of China under Grant No. 52008357 and the Natural Science Foundation of Sichuan Province under Grant No. 2022NSFSC1044.

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Go to Journal of Bridge Engineering
Journal of Bridge Engineering
Volume 29Issue 11November 2024

History

Received: Jun 22, 2023
Accepted: Jul 24, 2024
Published online: Sep 13, 2024
Published in print: Nov 1, 2024
Discussion open until: Feb 13, 2025

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Authors

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Ph.D. Candidate, Research Center for Wind Engineering, Southwest Jiaotong Univ., Chengdu 610031, China. ORCID: https://orcid.org/0000-0003-3169-065X. Email: [email protected]
Assistant Professor, Research Center for Wind Engineering, Wind Engineering Key Laboratory of Sichuan Province, Southwest Jiaotong Univ., Chengdu 610031, China (corresponding author). Email: [email protected]
Mingshui Li [email protected]
Professor, Research Center for Wind Engineering, Wind Engineering Key Laboratory of Sichuan Province, Southwest Jiaotong Univ., Chengdu 610031, China. Email: [email protected]
Master’s Student, Research Center for Wind Engineering, Southwest Jiaotong Univ., Chengdu 610031, China. ORCID: https://orcid.org/0009-0005-4903-1056. Email: [email protected]

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