Author(s): Yuto Tanaka and Hanae Suzuki

Abstract: Limitations include reliance on computational model assumptions and potential variability in InSAR data due to urban obstructions. Ground settlements induced by tunneling activities pose a substantial risk to urban infrastructure, necessitating precise monitoring and predictive capabilities. This study investigates the integration of geotechnical instrumentation and satellite-based InSAR techniques to monitor settlement patterns during tunneling. The objectives included assessing the impact of soil properties, tunneling depth, and excavation methods on settlement magnitudes, and validating computational models against observed data. Field data revealed a Gaussian settlement distribution with maximum values reaching 16 mm in clayey soils. Settlements were significantly lower in sandy loam and gravel layers. Computational modeling using PLAXIS 3D accurately predicted settlement patterns, with deviations within ±1.5 mm of observed values. Statistical analyses confirmed strong correlations between settlement magnitudes, soil compressibility, and tunneling depth. The integration of InSAR with traditional monitoring methods provided high-resolution, real-time data, enabling more effective risk mitigation strategies. These findings align with prior research and highlight the need for site-specific approaches to tunneling-induced settlement monitoring. In conclusion, this study demonstrates the critical value of combining advanced monitoring techniques and computational models for urban tunneling projects. Practical recommendations include the adoption of integrated monitoring systems, real-time data platforms, and tailored predictive models to mitigate settlement risks and ensure infrastructure safety.

Pages: 49-52 | Views: 82 | Downloads: 44

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