Advances in Bridge Engineering: Structures, Monitoring, and AI Technologies
A special issue of Infrastructures (ISSN 2412-3811). This special issue belongs to the section "Infrastructures and Structural Engineering".
Deadline for manuscript submissions: 30 August 2026 | Viewed by 1594
Special Issue Editors
Interests: bridge engineering; computational mechanics; concrete
Interests: railway engineering; strutural safety
Interests: bridge engineering; impact engineering; seismic engineering; blast engineering
Special Issue Information
Dear Colleagues,
With the continuous expansion of transportation networks and the construction of increasingly long-span and complex bridge systems, ensuring structural safety and serviceability has become a critical priority. Modern bridge engineering must address not only challenging design and construction demands but also the long-term performance and resilience of bridges under various loading and environmental influences.
Advancements in structural health monitoring, artificial intelligence, and data-driven engineering have opened new avenues for improving the safety, durability, and maintenance efficiency of bridge infrastructure. These technologies enable real-time evaluation, early damage detection, and intelligent decision-making, greatly reducing the risk of unexpected failures and ensuring sustainable operation throughout a bridge’s lifecycle.
This Special Issue aims to gather innovative research, recent achievements, and engineering applications related to structural systems, monitoring technologies, and artificial intelligence in bridge engineering. Submissions should highlight methods and solutions that improve reliability, cost-effectiveness, resilience, and digitalization in the design, assessment, and management of bridge structures.
Potential topics include, but are not limited to, the following:
- Large-span structures: Structural performance, design optimization, aerodynamic behavior, and dynamic performance.
- Novel bridge design and construction technologies: Advanced materials, prefabrication, and adaptive structural systems.
- Structural health monitoring in bridge engineering: Innovative sensing techniques, smart inspection systems, and real-time condition evaluation.
- Load actions in bridges: Traffic loads, environmental loads, fatigue and creep effects, and loading mechanisms in complex operational scenarios.
- Machine learning and deep learning in bridge engineering: Data-driven damage detection, pattern recognition, predictive analytics, and digital twin development.
- Bridge disaster prevention and resilience: Monitoring and mitigation strategies for seismic events, extreme weather, impacts, and other hazards.
Field applications and engineering case studies: Practical demonstration of techniques across different bridge types and operating conditions.
Dr. Miao Su
Prof. Dr. Zhiping Zeng
Dr. Min Wu
Dr. Fuming Wang
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 250 words) can be sent to the Editorial Office for assessment.
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 1800 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
- large-span structures
- novel bridge design and construction
- structural health monitoring in bridge engineering
- load actions in bridges
- machine learning and deep learning in bridge engineering
- bridge disaster prevention and resilience
- field applications and engineering case studies
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.



