Satellite-Enhanced Structural Digital Twin for Bridge Health Monitoring

Abstract

This paper investigates the feasibility of integrating satellite data into structural health monitoring (SHM) systems for transport infrastructure subjected to extreme loads. By combining InSAR satellite data, structural digital twin simulations, and advanced post-processing techniques, the study evaluates the potential of spaceborne remote sensing to provide insights into structural displacement and overall health conditions. A real-world pilot was conducted on the Kalix Bridge in Sweden using Sentinel-1-derived InSAR time series from the European Ground Motion Service (EGMS). The analysis demonstrated consistent uplift trends and highlighted the critical role of coherence-based filtering in extracting reliable displacement data. The results offer a foundation for future research in satellite-based SHM and underscore the importance of integrating geospatial and structural data for infrastructure resilience.