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International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP) (12th : 2015)
Variability of allowable bearing capacity of soft soil stabilized by end-bearing deep mixed columns Zhang, Jie; Chen, Hongzhi; Huang, Hongwei
Abstract
Deep mixed (DM) columns are commonly used to reduce the settlement of foundations constructed on the soft soils. This paper investigate the variability of the allowable bearing capacity of soft soil stabilized by end-bearing DM columns. A continuum model is used to calculate the allowable bearing capacity corresponding to a settlement threshold. To enhance the computational efficiency, the kriging-based response surface method is used to model the relationships between the random variables and the allowable bearing capacity. The coefficient of variation (COV) of the bearing capacity of the reinforced ground is assessed with Monte Carlo simulation. For the example investigated in this paper, the COV of the bearing capacity and the resistance factor are most sensitive to Young’s modulus of the DM columns, the shear strength parameters of the DM columns, but are insensitive to soil properties. The COV and the resistance factor are not sensitive to the thickness of the soft soil layer and the allowable settlement threshold when it varies between 5 - 15 cm. The results obtained in this study may be particular to soft ground reinforced with end-bearing DM columns. If the DM columns are floating, the uncertainties in soil properties may be more important.
Item Metadata
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Variability of allowable bearing capacity of soft soil stabilized by end-bearing deep mixed columns
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Date Issued |
2015-07
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Description |
Deep mixed (DM) columns are commonly used to reduce the settlement of foundations constructed on the soft soils. This paper investigate the variability of the allowable bearing capacity of soft soil stabilized by end-bearing DM columns. A continuum model is used to calculate the allowable bearing capacity corresponding to a settlement threshold. To enhance the computational efficiency, the kriging-based response surface method is used to model the relationships between the random variables and the allowable bearing capacity. The coefficient of variation (COV) of the bearing capacity of the reinforced ground is assessed with Monte Carlo simulation. For the example investigated in this paper, the COV of the bearing capacity and the resistance factor are most sensitive to Young’s modulus of the DM columns, the shear strength parameters of the DM columns, but are insensitive to soil properties. The COV and the resistance factor are not sensitive to the thickness of the soft soil layer and the allowable settlement threshold when it varies between 5 - 15 cm. The results obtained in this study may be particular to soft ground reinforced with end-bearing DM columns. If the DM columns are floating, the uncertainties in soil properties may be more important.
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Language |
eng
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Notes |
This collection contains the proceedings of ICASP12, the 12th International Conference on Applications of Statistics and Probability in Civil Engineering held in Vancouver, Canada on July 12-15, 2015. Abstracts were peer-reviewed and authors of accepted abstracts were invited to submit full papers. Also full papers were peer reviewed. The editor for this collection is Professor Terje Haukaas, Department of Civil Engineering, UBC Vancouver.
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Date Available |
2015-05-25
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivs 2.5 Canada
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DOI |
10.14288/1.0076181
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URI | |
Affiliation | |
Citation |
Haukaas, T. (Ed.) (2015). Proceedings of the 12th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP12), Vancouver, Canada, July 12-15.
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Peer Review Status |
Unreviewed
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Scholarly Level |
Faculty
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DSpace
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Rights
Attribution-NonCommercial-NoDerivs 2.5 Canada