Smart Sensing and Artificial Intelligence for Civil Infrastructure Monitoring and Management
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".
Deadline for manuscript submissions: closed (10 July 2023) | Viewed by 32089
Special Issue Editors
Interests: Internet of Things; structural health monitoring; digital twin; artificial intelligence; resilient infrastructure
Special Issues, Collections and Topics in MDPI journals
Interests: structural health monitoring; finite element model updating; fatigue behavior of steel and composite bridge
Special Issues, Collections and Topics in MDPI journals
Interests: sensor development for structural health monitoring; sensing system development; UAV-based remote sensing; deep learning-based computer vision application
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The monitoring and management of civil infrastructure (e.g., bridges, buildings, tunnels, pipelines, railways, dams) is always an important topic around the world. Smart sensing, accompanied with artificial intelligence (AI), has recently received growing interest for addressing the aforementioned concern. Smart sensing can obtain timely condition or status information about civil infrastructures during their lifecycle, and hence ensure safe construction and efficient operation by providing early warnings of damage or deterioration prior to costly repair or even catastrophic failures.
In recent years, engineers and researchers have witnessed significant advancements in the development of smart sensing technologies, such as wireless smart sensors, mobile sensing, computer vision, and NDT technologies. Their significant potential is further released, with advanced signal processing and data science, which is powered by AI technologies. Meanwhile, these technologies have enabled several full-scale instrumentations of structures under construction or in service. Combined with the collected data stream from these smart sensing systems, researchers take advantage of AI techniques for modelling environmental loadings, detecting construction risks, uncovering the degradation law of structural performance, identifying the surface and interior deficiency of structures, and quickly issuing management instructions.
The focus of this Special Issue is on presenting the latest advances in smart sensing and AI for civil infrastructure monitoring and management. Potential topics include, but are not limited to:
- Smart sensor development (hardware or software);
- Digital signal processing and filter design;
- Sensor fault diagnosis and recovery;
- Computer vision and image processing;
- Big data management and mining;
- Long-term performance monitoring and assessment;
- Condition assessment or smart upgrading of infrastructure;
- Surface or interior damage detection of structures;
- System identification;
- Construction monitoring and management;
- Vibration mitigation;
- Performance improvement of aged infrastructure;
- Case studies of smart civil infrastructure systems (e.g., bridges, buildings, and tunnels), etc.
Dr. Yuguang Fu
Dr. Jianxiao Mao
Dr. Peng (Patrick) Sun
Guest Editors
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Keywords
- smart sensing
- signal processing
- artificial intelligence
- structural health monitoring
- infrastructure inspection
- full-scale sensor deployment
- full-field deformation sensing
- UAV-based sensing application
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