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  5. Analyzing Wind Effects on Long-Span Bridges: A Viable Numerical Modelling Methodology Using OpenFOAM for Industrial Applications
 
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Analyzing Wind Effects on Long-Span Bridges: A Viable Numerical Modelling Methodology Using OpenFOAM for Industrial Applications

Author(s)
Zhang, Yuxiang  
MacReamoinn, Reamonn  
Cardiff, Philip  
Keenahan, Jennifer  
Uri
http://hdl.handle.net/10197/26003
Date Issued
2023-08-26
Date Available
2024-05-21T14:50:36Z
Abstract
Aerodynamic performance is of critical importance to the design of long-span bridges. Computational fluid dynamics (CFD) modelling offers bridge designers an opportunity to investigate aerodynamic performance for long-span bridges during the design phase as well as during operation of the bridge. It offers distinct advantages when compared with the current standard practice of wind tunnel testing, which can have several limitations. The proposed revisions to the Eurocodes offer CFD as a methodology for wind analysis of bridges. Practicing engineers have long sought a computationally affordable, viable, and robust framework for industrial applications of using CFD to examine wind effects on long-span bridges. To address this gap in the literature and guidance, this paper explicitly presents a framework and demonstrates a workflow of analyzing wind effects on long-span bridges using open-source software, namely FreeCAD, OpenFOAM, and ParaView. Example cases are presented, and detailed configurations and general guidance are discussed during each step. A summary is provided of the validation of this methodology with field data collected from the structural health monitoring (SHM) systems of two long-span bridges.
Other Sponsorship
China Scholarship Council
Type of Material
Journal Article
Publisher
MDPI
Journal
Infrastructures
Volume
8
Issue
9
Start Page
1
End Page
19
Copyright (Published Version)
2023 The Authors
Subjects

Bridge

Wind

Aerodynamic

Modelling

Simulation

Framework

DOI
10.3390/infrastructures8090130
Language
English
Status of Item
Peer reviewed
ISSN
2412-3811
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by/3.0/ie/
File(s)
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Name

[23] 2023_Workflow.pdf

Size

10.6 MB

Format

Adobe PDF

Checksum (MD5)

73d29513c1abb0ae171ff1a764c3a8c1

Owning collection
Civil Engineering Research Collection
Mapped collections
Mechanical & Materials Engineering Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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