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Session: Urban Seismology

Type: Oral

Date: 10/10/2024

Time: 11:45 AM

Room: Stanley Park Ballroom

Building Health Monitoring Using Ambient Noise Interferometry Across Multistory DAS Arrays

Distributed acoustic sensing (DAS) has gained significant traction in the oil and gas industry and shows promising potential for broader engineering applications, particularly in digital twins for smart cities. Digital twins create virtual replicas for smart cities, and DAS can provide complementary information for bidirectional communication between the virtual and physical worlds.

To explore the benefits of integrating DAS into digital twins for smart cities, our study designed a multi-story DAS array to recover building mode shapes through ambient noise interferometry. The impacts of weather parameters on building vibration modes were investigated. Our contribution leverages the ambient noise interferometry approach, utilizing a multi-story DAS array to enhance the depth and accuracy of building mode shape analysis. This method marks a significant departure from conventional practices by introducing a 3D perspective to structural health monitoring (SHM), a notable advancement over the 1D or 2D approaches typically employed.

By doing so, our work expands the toolkit available for SHM and opens new pathways for understanding the complex dynamics of buildings under various environmental influences. The inclusion of a DAS array facilitates a more nuanced capture of structural responses, promising improvements in the precision of monitoring and early detection of potential structural issues.

Presenting Author: Chen

Additional Authors