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Geomechanics and Engineering Volume 7, Number 5, November 2014 , pages 525-537 DOI: https://doi.org/10.12989/gae.2014.7.5.525 |
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Stochastic cost optimization of ground improvement with prefabricated vertical drains and surcharge preloading |
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Hyeong-Joo Kim, Kwang-Hyung Lee, Jay C. Jamin and Jose Leo C. Mission
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Abstract | ||
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. | ||
Key Words | ||
ground improvement; prefabricated vertical drain (PVD); surcharge preloading; stochastic cost optimization; direct Monte Carlo (MC) simulation; importance sampling (IS) | ||
Address | ||
(1) Hyeong-Joo Kim, Kwang-Hyung Lee, Jay C. Jamin: Department of Civil and Environmental Engineering, Kunsan National University, Gunsan 573-701, Republic of Korea; (2) Jose Leo C. Mission: SK Engineering and Construction (SK E&C), Seoul 100-192, Republic of Korea. | ||