Advanced Non-Contact Sensing Technologies for Structural Health Monitoring
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 30 November 2026 | Viewed by 145
Special Issue Editors
Interests: infrared thermography; terahertz time-domain spectroscopy; nondestructive testing/evaluation; deep learning; experimental mechanics
Special Issue Information
Dear Colleagues,
Structural health monitoring (SHM) is essential for ensuring the safety, resilience, and operational lifetime of engineered systems—from bridges and buildings to aircraft and industrial machinery. Recent progress in non-contact sensing technologies has vastly expanded the capabilities of SHM, enabling remote, full-field, and high-resolution assessment. These advanced approaches—including optical imaging, thermal and infrared methods, radar, terahertz/microwave sensing, and laser vibrometry—provide powerful alternatives to traditional contact sensors, allowing rapid inspection of complex structures and hard-to-access components with reduced installation cost and operational disruption.
This Special Issue, entitled “Advanced Non-Contact Sensing Technologies for Structural Health Monitoring”, invites cutting-edge research that advances sensing hardware, signal and image processing, intelligent data interpretation, and integrated diagnostics tailored for real-world SHM challenges. Contributions that demonstrate novel methodologies, data-driven frameworks, and field validation in diverse applications are particularly welcome. The topic aligns closely with the Sensors journal’s mission to publish innovative sensor systems, sensing principles, and applications for dynamic monitoring and intelligent evaluation of complex engineered systems.
Dr. Pengfei Zhu
Dr. Jakub Roemer
Guest Editors
Manuscript Submission Information
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Keywords
- non-contact sensing
- structural health monitoring (SHM)
- infrared thermography
- terahertz sensing
- vision and laser vibrometry
- radar and microwave sensing
- signal/Image processing
- machine learning/deep learning
- remote sensing technology
- digital twin and predictive analytics
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