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Geotechnical Predictions in Soft Ground Using Mechanised Shield Tunnelling

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Abstract

Exponential increase in urbanization has led to a growing need for a mass rapid transit system in developing countries. Underground network of tunnels constructed using tunnel boring machines (TBMs) has been an efficient solution. Urban tunnels have an essential requirement of minimizing the ground disturbances as it adversely impacts the existing infrastructure. Current study presents potential correlations for parametric geotechnical assessment for mechanized soft ground tunnelling data considering statistical numerical regression. The established correlations essentially enable us to determine and validate the geotechnical parameters in real time and subsequently enables optimization and even potential automation of TBM operations during soft ground mechanized tunnelling.

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Acknowledgements

The author thanks Afcons Infrastructure Ltd and Kolkata Metro Rail Corporation Ltd for the project data. Author would also like to Thank National High-Speed Rail Corporation Ltd for the Ph.D. programme.

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No funding was received for the study.

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  1. Department of Civil Engineering, Indian Institute of Technology Bombay, Powai, Mumbai, 400076, India

    A. Sharma

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  1. A. Sharma
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Sharma, A. Geotechnical Predictions in Soft Ground Using Mechanised Shield Tunnelling. Geotech Geol Eng 42, 2185–2203 (2024). https://doi.org/10.1007/s10706-023-02668-2

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