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Applied Sciences
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New Challenges in Bridge Wind Engineering
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New Challenges in Bridge Wind Engineering

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".

Deadline for manuscript submissions: closed (31 July 2023) | Viewed by 3014

Special Issue Editors

Prof. Dr. Wenli Chen

E-Mail Website
Guest Editor
Key Laboratory of Smart Prevention and Mitigation of Civil Engineering Disasters of Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin 150090, China
Interests: fluid structure interaction; flow control; bridge wind engineering
Special Issues, Collections and Topics in MDPI journals
Dr. Donglai Gao

E-Mail Website
Guest Editor
School of Civil Engineering, Harbin Institute of Technology, Harbin 150090, China
Interests: experimental fluid mechanics; vibration control; bridge wind engineering; fluid-solid couplings; fluid mechanics
Dr. Wen-Han Yang

E-Mail Website
Guest Editor
School of Civil Engineering, Harbin Institute of Technology, Harbin 150090, China
Interests: experimental fluid mechanics; vibration control; bridge wind engineering; fluid-solid couplings; fluid mechanics

Special Issue Information

Dear Colleagues,

Bridge wind engineering aims to study the static effects and dynamic response of bridges that may occur in various wind environments, to provide solutions for the design, construction, and maintenance of bridge structures and to provide for the normal service of bridges throughout their life cycle. The dynamic response of large span flexible bridges and flexible members in bridges under wind loads is significant and needs to be focused on the study of wind resistance performance. The research content of bridge wind engineering mainly includes the characteristics of natural wind; wind load distribution law of large-span bridges; the response of bridge structures under wind load; the mechanism and characteristics of different types of wind-induced vibration, such as vortex vibration, fluttering, buffeting, and rain-wind induced vibration; control methods of wind-induced vibration, including structural measures, mechanical measures, aerodynamic measures, etc.; the influence of extreme wind environments on bridge structure, etc. With theoretical analysis, field measurements, wind tunnel experiments, and numerical simulations, some new breakthroughs have been achieved. In recent years in the field of bridge wind engineering, research results have been widely used in large-span bridges. Therefore, the goal of this Special Issue is to reflect on recent progress in the field of bridge wind engineering.

Prof. Dr. Wenli Chen
Dr. Donglai Gao
Dr. Wen-Han Yang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • long-span bridges
  • wind effects
  • wind tunnel tests
  • CFD
  • wind induced vibration
  • control

Published Papers (2 papers)

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Research

22 pages, 11784 KiB  
Article
Research on Effective Design Methods of Core Beam of Full Bridge Aeroelastic Model
by Kai Qie, Zhitian Zhang, Shouying Li and Yuanyuan Wang
Appl. Sci. 2023, 13(9), 5593; https://doi.org/10.3390/app13095593 - 30 Apr 2023
Viewed by 933
Abstract
The trial-and-error method is complex and tedious, but often adapted to determine the cross-section sizes of core beams in the design of reduced-scale models. In this study, two optimization methods, the optimization methods in ANSYS and the genetic algorithm, are investigated to optimize [...] Read more.
The trial-and-error method is complex and tedious, but often adapted to determine the cross-section sizes of core beams in the design of reduced-scale models. In this study, two optimization methods, the optimization methods in ANSYS and the genetic algorithm, are investigated to optimize the cross-section sizes of core beams of reduced-scale models, which centers around two targeted moments of inertia and a targeted torsion constant. Due to the difficulty of obtaining an analytical solution of the torsion constant, a series of numerical solutions are proposed. Then, taking a U-shaped cross section as an example, the four geometric sizes of the section are optimized by the ANSYS optimization method and the genetic algorithm, respectively. The results of both methods are in good agreement with the targeted values, but the ANSYS optimization method is prone to fall into the local optimization zone and hence could be easily affected by the initial values. The shortcomings of the ANSYS optimization method can be easily avoided by the genetic algorithm, and it is easier to reach the global optimal solution. Finally, taking a suspension bridge with a main span of 920 m as a prototype, the full-bridge aeroelastic model is designed and the genetic algorithm is used to optimize the cross-section sizes of core beams in the bridge tower and the deck. Natural frequencies identified from the aeroelastic model agree well with the target ones, indicating the structural stiffness, which is provided by the core beams, has been modelled successfully. Full article
(This article belongs to the Special Issue New Challenges in Bridge Wind Engineering)
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19 pages, 3110 KiB  
Article
A ML-Based Wind Speed Prediction Model with Truncated Real-Time Decomposition and Multi-Resolution Data
by Hui Feng, Yao Jin, Shujin Laima, Feiyang Han, Wengchen Xu and Zhiqiang Liu
Appl. Sci. 2022, 12(19), 9610; https://doi.org/10.3390/app12199610 - 24 Sep 2022
Cited by 2 | Viewed by 1305
Abstract
Accurate wind speed prediction is of importance for long-span cross-sea bridges. To this end, data decomposition techniques are usually employed to promote accuracy of the prediction model. Since wind speed data come sequentially, real-time decomposition should be adopted. However, real-time decomposition may degrade [...] Read more.
Accurate wind speed prediction is of importance for long-span cross-sea bridges. To this end, data decomposition techniques are usually employed to promote accuracy of the prediction model. Since wind speed data come sequentially, real-time decomposition should be adopted. However, real-time decomposition may degrade the accuracy due to the end effect. In this paper, a novel scheme of real-time decomposition that is a combination of truncated real-time decomposition and multi-resolution data is developed. Specifically, truncated real-time decomposition firstly denoises the data and eliminates the end effect; high-resolution data are then introduced to compensate for the information loss. Further, a novel wind speed prediction model that consists of the proposed scheme and neural networks is proposed. Specifically, two gated recurrent unit neural networks are employed to extract features from the obtained original-resolution and high-resolution data, respectively, and a multi-layer perceptron is adopted to utilize extracted features and make predictions. The proposed model is validated on the monitoring wind speed data of two long-span cross-sea bridges. Specifically, the mean absolute error and the root of mean square error of the proposed model on the two datasets are 0.334, 0.445 and 0.233 and 0.316 m/s, which are smaller than benchmark models and demonstrate superiority of the proposed model. Full article
(This article belongs to the Special Issue New Challenges in Bridge Wind Engineering)
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