Advancements in Tunnelling: The Role of Engineering Geology in Design and Construction over the Last 30 Years

Authors

  • Vassilis Marinos International Association for Engineering Geology and the Environment (IAEG). School of Civil Engineering, National Technical University of Athens, Zografou 157 80, Greece. Author

DOI:

https://doi.org/10.64862/

Keywords:

Tunneling, Rock mass classification, Behavior-based design, Tunnel support systems, Artificial intelligence

Abstract

Over the past three decades, tunneling has advanced significantly through integration of engineering geology into design and construction. Modern practices emphasize understanding critical failure mechanisms rather than relying solely on classification systems. Developments in geological investigation, rock mass classification (RMR, Q-system, GSI, Hoek–Brown), numerical modelling, and behavior-based approaches, including the Tunnel Behavior Chart and GCBS, have improved predictive assessments and support design. Case studies highlight the influence of structural anisotropy, stress conditions, and groundwater on tunnel behavior. Future integration of artificial intelligence promises real-time adaptive design, optimizing support systems and enhancing safety, efficiency, and cost-effectiveness in complex underground construction.

References

Bieniawski, Z. T. (1976). Rock mass classification in rock engineering. In Z. T. Bieniawski (Ed.), Exploration for rock engineering (Vol. 1, pp. 97–106). Cape Town, South Africa: Balkema.

Hoek, E., and Marinos, P., and Marinos, V. (2005). Characterisation and engineering properties of tectonically undisturbed but lithologically varied sedimentary rock masses. International Journal of Rock Mechanics and Mining Sciences, 42 (2), 277–285. https://doi.org/10.1016/j.ijrmms.2004.09.015

Hoek, E., and Marinos, P. (2000). Predicting tunnel squeezing problems in weak heterogeneous rock masses: Part 1—Estimating rock mass strength and Part 2—Estimating tunnel squeezing problems. Tunnels and Tunnelling International, Part 1 (November), 45–51; Part 2 (December), 34–36.

Marinos, P., Hoek, E., and Marinos, V. (2005). Variability of the engineering properties of rock masses quantified by the geological strength index: The case of ophiolites with special reference to tunnelling. Bulletin of Engineering Geology and the Environment, 65 (2), 129–142. https://doi.org/10.1007/s10064-005-0018-x

Marinos, V. (2007). Geotechnical classification and engineering geological behaviour of weak and complex rock masses in tunnelling (Doctoral thesis, National Technical University of Athens, Athens, Greece).

Marinos, V. (2012). Assessing rock mass behaviour for tunneling. Environmental and Engineering Geoscience, 18 (4), 327–341. https://doi.org/10.2113/gseegeosci.18.4.327

Marinos, V. (2014). Tunnel behaviour and support associated with the weak rock masses of flysch. Journal of Rock Mechanics and Geotechnical Engineering, 6, 227–239. https://doi.org/10.1016/j.jrmge.2014.04.003

Marinos, V. (2017). A revised, geotechnical classification GSI system for tectonically disturbed heterogeneous rock masses, such as flysch. Bulletin of Engineering Geology and the Environment. https://doi.org/10.1007/S10064-017-1151-Z

Marinos, V., and Carter, T. G. (2018). Maintaining geological reality in application of GSI for design of engineering structures in rock. Journal of Engineering Geology, 239, 282–297. https://doi.org/10.1016/j.enggeo.2018.03.022

Downloads

Published

2025-11-27

How to Cite

Advancements in Tunnelling: The Role of Engineering Geology in Design and Construction over the Last 30 Years. (2025). Asian Journal of Engineering Geology, 2(Sp Issue), 419-420. https://doi.org/10.64862/

Similar Articles

1-10 of 162

You may also start an advanced similarity search for this article.