Machine Learning, Health Monitoring, and Numerical Simulation of Civil Engineering Materials
A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Construction and Building Materials".
Deadline for manuscript submissions: 20 December 2025 | Viewed by 227
Special Issue Editors
Interests: intelligent perception and information fusion of road traffic; long-term performance prediction and maintenance decision-making for pavement; mechanisms of vehicle–road coupling interaction; digitalization of transportation infrastructure for the operation and maintenance stage
Special Issues, Collections and Topics in MDPI journals
Interests: multi-scale characterization and digital design of asphalt pavement materials; intelligent sensing technologies for asphalt pavements
Special Issues, Collections and Topics in MDPI journals
Interests: prompt-guided large language models; evidential deep neural networks; decision-making under uncertainty; AI-enabled ground-penetrating radar detection
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent construction and maintenance of transportation infrastructure; integrated design of asphalt pavement structure and materials; long-term performance prediction of pavement
Interests: long-term performance of pavement structure and materials; transportation infrastructure resilience and risk prediction; automated truck platooning strategy; carbon footprint and decarbonization of road transportation
Interests: advanced monitoring, detection, and maintenance technologies for highway and airport pavements, including modeling and data integrity restoration, sensor signal analysis, and surface texture and functionality evaluation
Special Issue Information
Dear Colleagues,
This Special Issue is centered on the interdisciplinary domain of sustainable operation and maintenance for intelligent transportation systems. Its overarching goal is to construct a comprehensive technological framework spanning from perception to decision-making, construction, and operation. In the realm of intelligent perception, this study leverages the integration of multiple traffic information sources and delves into the analysis of vehicle–road interaction mechanisms. By doing so, it aims to elucidate the dynamic load characteristics of vehicles and the intricate interactions between roads and vehicles. Such efforts lay a solid theoretical groundwork for evaluating the status of infrastructure. Regarding digital technology applications, a Building Information Modeling (BIM)-based digital operation and maintenance platform for intelligent transportation infrastructure has been developed. This platform, in combination with long-term performance prediction models and material analysis, enables the visual management of data throughout the entire lifecycle of transportation facilities. The proposed integrated design approach for the maintenance system represents an optimal solution for minimizing life cycle costs. In the area of intelligent construction technology, this research emphasizes the optimization of asphalt pavement material mixtures and the precise control of construction process parameters. Through the implementation of digital twin technology, real-time monitoring and adjustment of construction quality can be achieved. Moreover, this study introduces an innovative deep learning method to analyze damages under various conditions and environmental factors. This approach provides intelligent decision support for preventive maintenance strategies. By integrating cutting-edge information technologies, including intelligent perception, digital twins, and artificial intelligence, with traditional civil engineering practices, this research system propels the development of intelligent infrastructure towards the realm of “self-adaptive perception, self-decision-making, and self-optimization”.
Dr. Shi Dong
Dr. Chao Xing
Dr. Zheng Tong
Dr. Ziming Liu
Guest Editors
Dr. You Huang
Dr. Ziye Ma
Guest Editor Assistants
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 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
- digitalization of transportation infrastructure for the operation and maintenance stage
- long-term performance prediction of pavement
- intelligent construction and maintenance of transportation infrastructure
- mechanism of vehicle–road coupling interaction
- intelligent operation and maintenance
- intelligent design of road engineering
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