Recent Developments and Applications in Vehicle-Assisted Structural Health Monitoring for Infrastructures
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Vehicular Sensing".
Deadline for manuscript submissions: closed (31 December 2025) | Viewed by 1000
Special Issue Editors
Interests: monitoring of material deterioration; sustainability in maintenance; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: structural health monitoring; vehicle–bridge interaction; damage detection
Special Issues, Collections and Topics in MDPI journals
Interests: structural health monitoring; intelligent infrastructures
Special Issues, Collections and Topics in MDPI journals
Interests: structural health monitoring; bridge structures; finite element modeling
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Infrastructures, such as buildings, bridges, roads, and railways, play vital roles in the current transportation system worldwide. However, since many of them were built in the last century, aging and deterioration pose significant threats to their safe operation. In recent decades, structural health monitoring (SHM) has become a critical area of focus, contributing significantly to the development of a sustainable society. Recent studies have highlighted the use of vehicles, e.g., cars, drones, and robots, in the health monitoring of infrastructures, where various types of sensors or cameras are installed on infrastructures and/or moving vehicles to collect important information for decision-making on bridge integrity management. Such a process involves measuring responses of the infrastructure/vehicles, data transmission, data storage and management, and cluster data processing and analysis. Significant information about infrastructures is extracted from these data and statistically analyzed to provide engineers with condition assessment results. In the future, SHM for infrastructures should be accomplished automatically with trivial manual operations, non-destructive to the structure, and achievable under operational conditions. Vehicle-assisted techniques will play a significant role in achieving these goals.
The purpose of this Special Issue is to collect state-of-the-art developments and applications in vehicle-assisted SHM for infrastructures, with its scope including, but not limited to, the following topics:
- Infrastructural operational modal identification and analysis;
- Vehicle-assisted damage detection of infrastructures;
- Road roughness/railway irregularity estimation and monitoring using vehicle responses;
- Anomaly detection in vehicle-induced data based on machine/deep learning algorithms;
- Infrastructural health monitoring using vehicle-induced responses;
- Monitoring of bridge traffic load distribution;
- Application of unmanned aerial vehicles (UAVs) for structural health monitoring of infrastructures;
- Investigations of vehicle–structure interaction theories;
- Drive-by/fly-by infrastructural health monitoring using vehicles as moving sensors;
- Modal parameter identification of bridges from responses of passing vehicles;
- AI applications for direct/indirect bridge health monitoring;
- Crowdsensing for bridge condition assessment.
You may choose our Joint Special Issue in Buildings.
Dr. Zhenkun Li
Dr. Kun Feng
Dr. Myra Lydon
Dr. Weiwei Lin
Guest Editors
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Keywords
- structural health monitoring
- damage detection
- modal identification
- unmanned aerial vehicles
- deep learning
- drive-by/fly-by method
- computer vision
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