Sustainable and Automated Design Strategies for Advanced Bridge Engineering
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".
Deadline for manuscript submissions: 31 May 2026 | Viewed by 48
Special Issue Editors
Interests: sustainability; heuristic optimization; steel-concrete composite structures; life cycle assessment; bridges; neural networks
Special Issues, Collections and Topics in MDPI journals
Interests: optimization; deep learning; operations research; artificial intelligence applications to industrial problems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, bridge engineering has entered a transformative phase, driven by the urgent need to create infrastructure that is not only safe and efficient but also environmentally sustainable and resilient to evolving climate conditions. With increasing societal demand for long-lasting, low-carbon, and intelligent structures, the integration of sustainable materials, advanced computational tools, and emerging technologies such as artificial intelligence has become essential in modern bridge design, construction, and maintenance.
This Special Issue aims to collect high-quality research that showcases the latest developments and innovative practices in this critical area. The issue aligns with the journal’s scope by addressing the intersection of structural engineering, sustainability, and digital technologies. We welcome contributions that explore both theoretical and applied aspects, with a focus on improving the lifecycle performance, durability, and environmental footprint of bridge infrastructure.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Sustainable materials and low-impact construction methods;
- Smart sensing technologies and structural health monitoring;
- Resilient and adaptive bridge design strategies;
- Lifecycle assessment and predictive maintenance;
- Digital design tools and structural optimization;
- Applications of artificial intelligence and machine learning in bridge engineering;
- Climate change adaptation and risk-informed design;
- Case studies of innovative and sustainable bridge solutions.
We look forward to receiving your contributions.
Dr. David Martínez-Muñoz
Dr. José Antonio García
Guest Editors
Dr. Andrés Ruiz-Vélez
Guest Editor Assistant
Manuscript Submission Information
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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
- sustainable bridge engineering
- structural health monitoring
- resilient infrastructure
- artificial intelligence in civil engineering
- lifecycle assessment
- smart materials and structures
- bridge maintenance and management
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