Simulations of Fall Cone Test in Soil Mechanics Using the Material Point Method

Llano-Serna, MA; Farias, MM; Pedroso, DM; Williams, DJ; Sheng, D

Simulations of Fall Cone Test in Soil Mechanics Using the Material Point Method

Llano-Serna, MA Farias, MM Pedroso, DM Williams, DJ Sheng, D

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Publisher:: Trans Tech Publications, Ltd.
Publication Type:: Journal Article
Citation:: Applied Mechanics and Materials, 2016, 846, pp. 336-341
Issue Date:: 2016-07-01

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Field	Value	Language
dc.contributor.author	Llano-Serna, MA
dc.contributor.author	Farias, MM
dc.contributor.author	Pedroso, DM
dc.contributor.author	Williams, DJ
dc.contributor.author	Sheng, D https://orcid.org/0000-0002-1665-6931
dc.date.accessioned	2022-08-12T23:11:12Z
dc.date.available	2022-08-12T23:11:12Z
dc.date.issued	2016-07-01
dc.identifier.citation	Applied Mechanics and Materials, 2016, 846, pp. 336-341
dc.identifier.issn	1660-9336
dc.identifier.issn	1662-7482
dc.identifier.uri	http://hdl.handle.net/10453/160059
dc.description.abstract	<jats:p>The material point method is a particle-based method that uses a double Lagrangian-Eulerian discretisation. This approach has proved its functionality for the simulation of large deformation problems. Such problems are frequent in geotechnical engineering, more specifically those related to penetration during pile driving and conventional <jats:italic>in situ</jats:italic> tests such as the Cone Penetration Test. The shallow laboratory fall cone test is considered in this paper. This test is widely used for the determination of the liquid limit of clays, but it is also used to study the relationship between penetration (<jats:italic>h</jats:italic>) and the undrained shear strength of clays (<jats:italic>s</jats:italic><jats:italic><jats:sub>u</jats:sub></jats:italic>). Simulations are verified against laboratory vane shear tests and fall cone tests performed on samples of kaolin clay at different moisture contents. Calibrations using a simple penetration-strength (<jats:italic>h</jats:italic>-<jats:italic>s</jats:italic><jats:italic><jats:sub>u</jats:sub></jats:italic>) model are made based on a single coefficient named the cone factor (<jats:italic>K</jats:italic>). The numerical results closely match both the experimental data and analytical solutions available in the literature.</jats:p>
dc.language	en
dc.publisher	Trans Tech Publications, Ltd.
dc.relation.ispartof	Applied Mechanics and Materials
dc.relation.isbasedon	10.4028/www.scientific.net/amm.846.336
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	09 Engineering
dc.title	Simulations of Fall Cone Test in Soil Mechanics Using the Material Point Method
dc.type	Journal Article
utslib.citation.volume	846
utslib.for	09 Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2022-08-12T23:11:11Z
pubs.publication-status	Published online
pubs.volume	846

Abstract:

The material point method is a particle-based method that uses a double Lagrangian-Eulerian discretisation. This approach has proved its functionality for the simulation of large deformation problems. Such problems are frequent in geotechnical engineering, more specifically those related to penetration during pile driving and conventional in situ tests such as the Cone Penetration Test. The shallow laboratory fall cone test is considered in this paper. This test is widely used for the determination of the liquid limit of clays, but it is also used to study the relationship between penetration (h) and the undrained shear strength of clays (su). Simulations are verified against laboratory vane shear tests and fall cone tests performed on samples of kaolin clay at different moisture contents. Calibrations using a simple penetration-strength (h-su) model are made based on a single coefficient named the cone factor (K). The numerical results closely match both the experimental data and analytical solutions available in the literature.

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http://hdl.handle.net/10453/160059