Geomechanics and Engineering

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Stiffness loss in enzyme-induced carbonate precipitated sand with stress scenarios

  • Song, Jun Young (Korea Polar Research Institute) ;
  • Sim, Youngjong (Land and Housing Institute, Korea Land and Housing Corporation) ;
  • Yeom, Sun (Korea Institute of Civil Engineering and Building Technology) ;
  • Jang, Jaewon (Department of Civil and Environmental Engineering, Hanyang University) ;
  • Yun, Tae Sup (Department of Civil and Environmental Engineering, Yonsei University)
  • Received : 2019.03.19
  • Accepted : 2020.01.15
  • Published : 2020.01.25
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Abstract

The enzyme-induced carbonate precipitation (EICP) method has been investigated to improve the hydro-mechanical properties of natural soil deposits. This study was conducted to explore the stiffness evolution during various stress scenarios. First, the optimal concentration of urea, CaCl2, and urease for the maximum efficiency of calcite precipitation was identified. The results show that the optimal recipe is 0.5 g/L and 0.9 g/L of urease for 0.5 M CaCl2 and 1 M CaCl2 solutions with a urea-CaCl2 molar ratio of 1.5. The shear stiffness of EICP-treated sands remains constant up to debonding stresses, and further loading induces the reduction of S-wave velocity. It was also found that the debonding stress at which stiffness loss occurs depends on the void ratio, not on cementation solution. Repeated loading-unloading deteriorates the bonding quality, thereby reducing the debonding stress. Scanning electron microscopy and X-ray images reveal that higher concentrations of CaCl2 solution facilitate heterogeneous nucleation to form larger CaCO3 nodules and 11-12 % of CaCO3 forms at the interparticle contact as the main contributor to the evolution of shear stiffness.

Keywords

Acknowledgement

Supported by : National Research Foundation of Korea (NRF), Korea Agency for Infrastructure Technology Advancement (KAIA)

This work was supported by the Land and Housing Institute (LHI) grant funded by the Korea Land and Housing Corporation, the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (2016R1A2B4011292), and the research fund of the Korea Agency for Infrastructure Technology Advancement (KAIA) (18CTAP-C142849-01).

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