Geomechanics and Engineering

  • 제7권5호
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  • Pages.525-537
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  • 2014
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  • 2005-307X(pISSN)
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  • 2092-6219(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

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Stochastic cost optimization of ground improvement with prefabricated vertical drains and surcharge preloading

  • Kim, Hyeong-Joo (Department of Civil and Environmental Engineering, Kunsan National University) ;
  • Lee, Kwang-Hyung (Department of Civil and Environmental Engineering, Kunsan National University) ;
  • Jamin, Jay C. (Department of Civil and Environmental Engineering, Kunsan National University) ;
  • Mission, Jose Leo C. (SK Engineering and Construction (SK E&C))
  • 투고 : 2013.12.09
  • 심사 : 2014.07.17
  • 발행 : 2014.11.25
⟨ 이전 논문 다음 논문 ⟩

초록

The typical design of ground improvement with prefabricated vertical drains (PVD) and surcharge preloading involves a series of deterministic analyses using averaged or mean soil properties for the various combination of the PVD spacing and surcharge preloading height that would meet the criteria for minimum consolidation time and required degree of consolidation. The optimum design combination is then selected in which the total cost of ground improvement is a minimum. Considering the variability and uncertainties of the soil consolidation parameters, as well as considering the effects of soil disturbance (smear zone) and drain resistance in the analysis, this study presents a stochastic cost optimization of ground improvement with PVD and surcharge preloading. Direct Monte Carlo (MC) simulation and importance sampling (IS) technique is used in the stochastic analysis by limiting the sampled random soil parameters within the range from a minimum to maximum value while considering their statistical distribution. The method has been verified in a case study of PVD improved ground with preloading, in which average results of the stochastic analysis showed a good agreement with field monitoring data.

키워드

과제정보

연구 과제 주관 기관 : Ministry of Land, Infrastructure and Transport

참고문헌

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피인용 문헌

  1. Experimental investigation of lateral displacement of PVD-improved deposit vol.9, pp.5, 2015, https://doi.org/10.12989/gae.2015.9.5.585
  2. Equivalent ‘smear’ effect due to non-uniform consolidation surrounding a PVD vol.67, pp.5, 2017, https://doi.org/10.1680/jgeot.16.P.087
  3. Rao-3 algorithm for the weight optimization of reinforced concrete cantilever retaining wall vol.20, pp.6, 2014, https://doi.org/10.12989/gae.2020.20.6.527
  4. Microbially Induced Desaturation and Carbonate Precipitation through Denitrification: A Review vol.11, pp.17, 2021, https://doi.org/10.3390/app11177842