An Empirical Function to Predict the Liquefaction-Induced Uplift of Circular Tunnels

Tunnels buried in liquefiable soils are prone to liquefaction-induced uplift damage during strong earthquakes. Studying the parameters that affect the liquefaction-induced uplift of tunnels is crucial for enhancing the seismic resilience of tunnels, minimizing potential damage, and ensuring the safety of critical infrastructure during strong earthquakes. This study investigates the effects of tunnel diameter (D), burial depth (H), and amplitude of input shaking at the base of the soil layer (a[subscript max]) on the liquefaction-induced uplift of circular tunnels using numerical simulation. A comprehensive parametric study was conducted to investigate the effect of the H/D ratio and the value of a[subscript max] on the dynamic responses, such as uplifts and internal forces in the lining of the tunnel. Using the numerical results, an empirical function was proposed to estimate the liquefaction-induced uplift of circular tunnels buried in liquefiable, loose soils. Finally, the results predicted by the proposed function were compared with those of a shaking table test and a centrifuge experiment. It has been demonstrated that the burial depth of a tunnel has the greatest impact on its seismic performance. Under identical input motion, increasing the burial depth of a tunnel with a 5-m diameter from 5 to 10 m resulted in a 270% increase in uplift and increased the internal forces in the tunnel lining, noticeably.

• Record URL:
  • https://doi.org/10.1007/s40515-024-00400-y
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/21967202
• Supplemental Notes:
  • © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
• Authors:
  • Seyedi, Mohsen
  • 0000-0002-2433-0122
• Publication Date: 2024-10

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 2973-2998
• Serial:
  • Transportation Infrastructure Geotechnology
  • Volume: 11
  • Issue Number: 5
  • Publisher: Springer Publishing
  • ISSN: 2196-7202
  • EISSN: 2196-7210
  • Serial URL: http://link.springer.com/journal/40515

Subject/Index Terms

• TRT Terms: Empirical methods; Geotechnical engineering; Liquefaction; Predictive models; Seismicity; Tunnels
• Subject Areas: Bridges and other structures; Geotechnology;

Filing Info

• Accession Number: 01933577
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 15 2024 9:16AM