4.6 Article

Interferometric Satellite Data in Structural Health Monitoring: An Application to the Effects of the Construction of a Subway Line in the Urban Area of Rome

期刊

APPLIED SCIENCES-BASEL
卷 12, 期 3, 页码 -

出版社

MDPI
DOI: 10.3390/app12031658

关键词

Structural Health Monitoring; satellite data; remote sensing; SBAS-DInSAR; subsidence; subway excavation

资金

  1. Progetto DPC-ReLUIS [2019-2021-WP 6]

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In recent years, the use of interferometric satellite data for Structural Health Monitoring (SHM) has grown significantly. This study explores the application of remote sensing techniques in highlighting the impact of construction activities on urban areas, using the example of a new subway line in Rome. The results demonstrate the correlation between two representation techniques and validate the methodologies used.
In recent years, the use of interferometric satellite data for Structural Health Monitoring has experienced a strong development. The urban environment confirms its fragility to adverse natural events, made even more severe by climate change. Hence, the need to carry out continuous monitoring of structures and artefacts appears increasingly urgent. Furthermore, satellite data could considerably increase the feasibility of traditional Structural Health Monitoring (SHM) approaches. This study aims to explore this remote sensing approach, focusing on the representation techniques that can be adopted to highlight their advantages and provide an interpretation of the results. In particular, the study analyzes records from the urban area of Rome (Italy), subject to the construction of a new subway line. These data are exploited to create a velocity map to highlight the possible subsidence phenomenon induced by excavations. Then, the paper focuses on single buildings or building complexes through the entropy-energy representation. Beyond the different limitations caused by the input data, a correlation is identified between the results of the two representation techniques. Accordingly, the effects of excavation on the urban area are demonstrated, and the methodologies are validated.

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