Foto del docente

Wael Alahmad

PhD Student

Department of Architecture

Teaching tutor

Department of Civil, Chemical, Environmental, and Materials Engineering

Academic discipline: ICAR/08 Structural Mechanics

Research

Structural Health Monitoring (SHM) Using InSAR Technology

Interferometric Synthetic Aperture Radar (InSAR) technology provides a remote, high-precision solution for monitoring structural displacements, capable of detecting millimeter-level changes in structural behavior over time. By analyzing displacement patterns in bridges, historical masonry structures, and other infrastructure, InSAR enables the early identification of potential structural issues. As a non-destructive procedure, InSAR allows for structural monitoring without the need for direct sensor installations, overcoming accessibility limitations and reducing associated monitoring costs.

Large-Scale Monitoring: Low-Cost and Scalable Solutions

Effective large-scale infrastructure monitoring requires SHM solutions that are both cost-efficient and scalable. Leveraging InSAR data makes it possible to monitor extensive networks of bridges and historical structures across vast regions. This approach keeps the monitoring process affordable while using existing data infrastructure to streamline data collection, processing, and analysis.

Transfer Learning for Enhanced Anomaly Detection

Transfer learning plays a critical role in SHM, particularly in situations where historical data on structural behavior is limited or unavailable. By applying insights gained from one structure to similar ones, transfer learning enhances anomaly detection and structural assessment capabilities. This approach is particularly valuable for historical masonry structures, where direct historical data may be sparse, but relevant patterns from other structures can guide accurate identification of potential issues.

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