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Modelling the Cone Penetration Test in sand using Cavity Expansion and Arbitrary Lagrangian Eulerian Finite Element Methods
Citation
Tolooiyan, A and Gavin, K, Modelling the Cone Penetration Test in sand using Cavity Expansion and Arbitrary Lagrangian Eulerian Finite Element Methods, Computers and Geotechnics, 38, (4) pp. 482-490. ISSN 0266-352X (2011) [Refereed Article]
Copyright Statement
Copyright 2011 Elsevier Ltd.
DOI: doi:10.1016/j.compgeo.2011.02.012
Abstract
The paper considers two techniques to model the Cone Penetration Test (CPT) end resistance, qc in a dense sand deposit using commercial finite element programmes. In the first approach, Plaxis was used to perform spherical cavity expansion analyses at multiple depths. Two soil models, namely; the Mohr-Coulomb (MC) and Hardening Soil (HS) models were utilized. When calibrated using simple laboratory element tests, the HS model was found to provide good estimates of qc. However, at shallow depths, where the over-consolidation ratio of the sand was highest, the relatively large horizontal stresses developed prevented the full development of the failure zone resulting in under-estimation of the qc value. The second approach involved direct simulation of cone penetration using a large-strain analysis implemented in Abaqus/Explicit. The Arbitrary Lagrangian Eulerian (ALE) technique was used to prevent excessive mesh deformation. Although the Druker-Prager soil model used was not as sophisticated as the HS model, excellent agreement was achieved between the predicted and measured qc profiles.
Item Details
Item Type: | Refereed Article |
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Keywords: | Cone Penetration Test, finite element analysis, cavity expansion, Arbitrary Lagrangian Eulerian, over-consolidated sand |
Research Division: | Engineering |
Research Group: | Civil engineering |
Research Field: | Civil geotechnical engineering |
Objective Division: | Expanding Knowledge |
Objective Group: | Expanding knowledge |
Objective Field: | Expanding knowledge in engineering |
UTAS Author: | Tolooiyan, A (Dr Ali Tolooiyan) |
ID Code: | 129515 |
Year Published: | 2011 |
Web of Science® Times Cited: | 72 |
Deposited By: | Engineering |
Deposited On: | 2018-12-04 |
Last Modified: | 2019-01-21 |
Downloads: | 0 |
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