Single vs Multi-drain Probabilistic Analyses of Soil Consolidation via Prefabricated Vertical Drains
Natural soils are one of the most inherently variable in the ground. Although the significance of inherent soil variability in relation to reliable prediction of consolidation rates of soil deposits has long been realized, there have been few studies that addressed the issue of soil variability for...
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| Format: | Conference Paper |
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cIRcle, the Digital Repository of the University of British Columbia
2015
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| Online Access: | http://hdl.handle.net/20.500.11937/48065 |
| _version_ | 1848758007724244992 |
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| author | Bari, Md. Wasiul Shahin, Mohamed Soubra, A. |
| author2 | Terje Haukaas |
| author_facet | Terje Haukaas Bari, Md. Wasiul Shahin, Mohamed Soubra, A. |
| author_sort | Bari, Md. Wasiul |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Natural soils are one of the most inherently variable in the ground. Although the significance of inherent soil variability in relation to reliable prediction of consolidation rates of soil deposits has long been realized, there have been few studies that addressed the issue of soil variability for the problem of ground improvement by prefabricated vertical drains (PVDs). Despite showing valuable insights into the impact of soil spatial variability on soil consolidation by PVDs, available stochastic works on this subject are based on a single drain (or unit cell) analysis. In a spatially variable soil, however, the condition of unit cell may be violated. Therefore, in a probabilistic context, it is necessary to assess the feasibility of performing an analysis based on the unit cell concept as compared to the multi-drain analysis. In this study, a rigorous stochastic finite element modeling approach that allows the nature of soil spatial variability to be considered in a quantifiable manner, both for the single and multi-drain cases, is presented. It is shown that with proper input statistics representative of a particular domain of interest, both single and multi-drain analyses yield almost identical results. This study also highlights the importance of proper modeling of soil spatial variability in design of ground improvement by PVDs. |
| first_indexed | 2025-11-14T09:37:09Z |
| format | Conference Paper |
| id | curtin-20.500.11937-48065 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:37:09Z |
| publishDate | 2015 |
| publisher | cIRcle, the Digital Repository of the University of British Columbia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-480652017-01-30T15:37:19Z Single vs Multi-drain Probabilistic Analyses of Soil Consolidation via Prefabricated Vertical Drains Bari, Md. Wasiul Shahin, Mohamed Soubra, A. Terje Haukaas Prefabricated vertical drains ground improvement soft clay consolidation soil spatial variability Natural soils are one of the most inherently variable in the ground. Although the significance of inherent soil variability in relation to reliable prediction of consolidation rates of soil deposits has long been realized, there have been few studies that addressed the issue of soil variability for the problem of ground improvement by prefabricated vertical drains (PVDs). Despite showing valuable insights into the impact of soil spatial variability on soil consolidation by PVDs, available stochastic works on this subject are based on a single drain (or unit cell) analysis. In a spatially variable soil, however, the condition of unit cell may be violated. Therefore, in a probabilistic context, it is necessary to assess the feasibility of performing an analysis based on the unit cell concept as compared to the multi-drain analysis. In this study, a rigorous stochastic finite element modeling approach that allows the nature of soil spatial variability to be considered in a quantifiable manner, both for the single and multi-drain cases, is presented. It is shown that with proper input statistics representative of a particular domain of interest, both single and multi-drain analyses yield almost identical results. This study also highlights the importance of proper modeling of soil spatial variability in design of ground improvement by PVDs. 2015 Conference Paper http://hdl.handle.net/20.500.11937/48065 cIRcle, the Digital Repository of the University of British Columbia restricted |
| spellingShingle | Prefabricated vertical drains ground improvement soft clay consolidation soil spatial variability Bari, Md. Wasiul Shahin, Mohamed Soubra, A. Single vs Multi-drain Probabilistic Analyses of Soil Consolidation via Prefabricated Vertical Drains |
| title | Single vs Multi-drain Probabilistic Analyses of Soil Consolidation via Prefabricated Vertical Drains |
| title_full | Single vs Multi-drain Probabilistic Analyses of Soil Consolidation via Prefabricated Vertical Drains |
| title_fullStr | Single vs Multi-drain Probabilistic Analyses of Soil Consolidation via Prefabricated Vertical Drains |
| title_full_unstemmed | Single vs Multi-drain Probabilistic Analyses of Soil Consolidation via Prefabricated Vertical Drains |
| title_short | Single vs Multi-drain Probabilistic Analyses of Soil Consolidation via Prefabricated Vertical Drains |
| title_sort | single vs multi-drain probabilistic analyses of soil consolidation via prefabricated vertical drains |
| topic | Prefabricated vertical drains ground improvement soft clay consolidation soil spatial variability |
| url | http://hdl.handle.net/20.500.11937/48065 |