Advances in Intelligent Operation, Monitoring, and Maintenance of Infrastructure
A Special Issue of Applied Sciences (ISSN 2076-3417) belonging to the section "Civil Engineering".
Deadline for manuscript submissions: 30 November 2026 | Viewed by 443
Editors
Interests: smart city; intelligent transportation systems; AI-based modeling and prediction
Special Issues, Collections and Topics in MDPI journals
Interests: optical sensing; structural health monitoring; advanced coating materials; AI prediction
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues
At present, increasing attention is being directed toward the sustainable operation and long-term resilience of civil infrastructure systems, particularly in the context of aging assets, growing traffic demands, and exposure to harsh environments. Numerous studies highlight the need to move beyond traditional inspection and maintenance practices toward intelligent, data-driven approaches that integrate advanced sensing, real-time monitoring, and predictive analytics. To address these challenges, technologies such as distributed fiber optic sensing, wireless sensor networks, and digital twin frameworks are increasingly being adopted to enable continuous condition assessment and early damage detection. Despite the complexity of infrastructure behavior under coupled mechanical, environmental, and operational loads, significant progress can be achieved through the integration of high-fidelity sensing data with physics-based models and machine learning techniques. In parallel, the incorporation of automation, artificial intelligence, and smart decision-support systems offers new opportunities to optimize maintenance strategies, reduce lifecycle costs, and enhance system reliability and safety. Important considerations also include structural durability, material degradation mechanisms, and the interaction between infrastructure performance and external factors such as climate, traffic, and environmental exposure.
The main objective of this Special Issue is to bring together original contributions that present recent Advances in Intelligent Operation, Monitoring, and Maintenance of Infrastructure systems. We welcome experimental studies, field implementations, and numerical simulations that focus on innovative sensing technologies, data-driven modeling, structural health monitoring, and predictive maintenance strategies. Topics of interest include, but are not limited to, fiber optic sensing, digital twins, machine learning and artificial intelligence applications, corrosion and material degradation monitoring, smart transportation infrastructure, and resilient infrastructure systems under extreme conditions. Applications may span a wide range of infrastructure types, including bridges, pavements, pipelines, buildings, and energy systems. This Special Issue also encourages interdisciplinary research that integrates sensing, modeling, and decision-making to advance the next generation of intelligent infrastructure management systems.
Prof. Dr. Ying Huang
Dr. Luyang Xu
Guest Editors
Manuscript Submission Information
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Keywords
- intelligent infrastructure systems
- structural health monitoring (SHM)
- distributed fiber optic sensing (DFOS)
- digital twin and data-driven modeling
- predictive maintenance and AI analytics
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