Special Issue "Bridge Modeling, Monitoring, Management and Beyond"

A special issue of Infrastructures (ISSN 2412-3811).

Deadline for manuscript submissions: 31 March 2024 | Viewed by 1068

Special Issue Editor

School of Civil Engineering, University College Dublin, D04V1W8 Dublin, Ireland
Interests: bridge engineering; structural health monitoring; system identification; structural dynamics; earthquake engineering; sensor technologies; machine learning; decision analysis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the rise of next-generation sensing, learning, and analytics frameworks and platforms, we observe a significant step towards data-enabled automation in managing transportation infrastructure assets. The mechanical behavior of transportation infrastructure is subject to change over time, and digitized early warnings reflecting infrastructure conditions can dramatically increase the efficiency of stakeholders’ decisions without conventional labor-intensive efforts taking place. Concerning deterioration and failure, bridge structures are among the specific weak links of transportation networks; although they are not the sole degradable assets, and many other sources can trigger transportation service disruption.

This Special Issue is a broad attempt to bring state-of-the-art research on various aspects of bridge mechanics, from dynamic modeling and simulations to inverse dynamics incorporating diagnostics techniques such as structural health monitoring. The Special Issue is not only limited to the technical developments in modeling and monitoring frontiers but also covers the stakeholder-end post-diagnostics processes, i.e., consequence metrics, decision models, and potential maintenance actions conditioned to infrastructure diagnostics. Parallel advances in sensor technologies and hardware, finite element and surrogate modeling prospects, statistical learning approaches, hazard analysis and decision-making strategies are encouraged for representation in the Special Issue.

We hope this initiative will unify the existing research trends in bridge engineering for a complete understanding of data-enabled bridge risk mitigation and generate the essential knowledge for the 21st century’s digital transformation that can lead to more sustainable and resilient transportation infrastructure. Future recommender systems for bridge assets can be a vital part of this scheme, particularly addressed in this Special Issue. Topics included in this Special Issue include but are not limited to:

  • Bridge health monitoring
  • Bridge condition assessment/diagnostics
  • Emerging sensing techniques/sensor technologies for bridge monitoring
  • Bridge dynamics
  • Finite element modeling and model updating
  • Damage identification and classification
  • Predictive systems for prognostics/remaining useful life
  • Digital twins
  • Machine learning applications for bridge infrastructure
  • Hazard and risk analysis for bridges
  • Performance assessment of bridges
  • Bridge decision support systems
  • Bridge maintenance, retrofit, and management
  • Bridge networks

Yours sincerely,

Dr. Ekin Ozer
Guest Editor

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. Infrastructures is an international peer-reviewed open access monthly 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 1600 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.


  • bridge
  • sensor
  • dynamics
  • finite element
  • model
  • monitoring
  • reliability
  • risk
  • diagnostics
  • prognostics
  • machine learning
  • twins
  • damage
  • maintenance
  • decision

Published Papers (1 paper)

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19 pages, 10856 KiB  
Analyzing Wind Effects on Long-Span Bridges: A Viable Numerical Modelling Methodology Using OpenFOAM for Industrial Applications
Infrastructures 2023, 8(9), 130; https://doi.org/10.3390/infrastructures8090130 - 26 Aug 2023
Viewed by 799
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 [...] Read more.
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. Full article
(This article belongs to the Special Issue Bridge Modeling, Monitoring, Management and Beyond)
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