This article introduces a novel methodology for detecting and classifying anomalies in multiple bridges within a geographical region using satellite-based interferometric synthetic aperture radar displacements and environmental measures. The approach uses subspace alignment to harmonize bridge features, enabling the detection of anomalies based on deviations in one bridge compared to the rest of the population. Simulated and real case studies involving steel railway bridges spanning the Po River in Italy demonstrate the effectiveness of the proposed approach, showcasing its potential for large-scale applications. Moreover, the study explores the transferability of knowledge from simulated data to real-world monitoring scenarios, yielding promising results in classifying real instances using synthetic labels. The proposed approach presents practical benefits for bridge monitoring agencies by providing a cost-effective method for enhancing the resilience and safety of transportation infrastructure.

Said Quqa

Antonio Palermo

Francesco Ubertini

Alessandro Marzani

Structural Health Monitoring

Structural Health Monitoring is an international peer reviewed journal that publishes the highest quality original research that contain theoretical, analytical, and experimental investigations that advance the body of knowledge and its application in the discipline of structural health monitoring.

Structural Health Monitoring is an international peer-reviewed journal dedicated to publishing high-quality original research. This research includes theoretical, analytical, and experimental investigations aimed at advancing the body of knowledge and its applications in the field of structural health monitoring.

《Structural Health Monitoring》是一本国际同行评审期刊，致力于发表高质量的原创研究。这些研究包括理论、分析和实验调查，旨在推动结构健康监测领域的知识体系及其应用的发展。

Category	Quartile
工程技术	2
工程技术, 工程综合	2
工程技术, 仪器仪表	2

Regional-scale bridge condition monitoring using InSAR displacements and environmental data

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Journal Info

Category	Quartile
INSTRUMENTS & INSTRUMENTATION	1