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DEM analysis of the influence of the intermediate stress ratio on the critical-state behaviour of granular materials
The critical-state response of granular assemblies composed of elastic spheres under generalised three-dimensional loading conditions was investigated using the discrete element method (DEM). Simulations were performed with a simplified Hertz–Mindlin contact model using a modified version of the LAM...
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Published in: | Granular matter 2014-10, Vol.16 (5), p.641-655 |
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creator | Huang, X. Hanley, K. J. O’Sullivan, C. Kwok, C. Y. Wadee, M. A. |
description | The critical-state response of granular assemblies composed of elastic spheres under generalised three-dimensional loading conditions was investigated using the discrete element method (DEM). Simulations were performed with a simplified Hertz–Mindlin contact model using a modified version of the LAMMPS code. Initially isotropic samples were subjected to three-dimensional stress paths controlled by the intermediate stress ratio,
b
=
[
(
σ
2
′
-
σ
3
′
)
/
(
σ
1
′
-
σ
3
′
)
]
. Three types of simulation were performed: drained (with
b
-value specified), constant volume and constant mean effective stress. In contrast to previous DEM observations, the position of the critical state line is shown to depend on
b
. The data also show that, upon shearing, the dilatancy post-peak increases with increasing
b
, so that at a given mean effective stress, the void ratio at the critical state increases systematically with
b
. Four commonly-used three-dimensional failure criteria are shown to give a better match to the simulation data at the critical state than at the peak state. While the void ratio at critical state is shown to vary with
b
, the coordination number showed no dependency on
b
. The variation in critical state void ratios at the same
p
′
value is apparently related to the directional fabric anisotropy which is clearly sensitive to
b
. |
doi_str_mv | 10.1007/s10035-014-0520-6 |
format | article |
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b
=
[
(
σ
2
′
-
σ
3
′
)
/
(
σ
1
′
-
σ
3
′
)
]
. Three types of simulation were performed: drained (with
b
-value specified), constant volume and constant mean effective stress. In contrast to previous DEM observations, the position of the critical state line is shown to depend on
b
. The data also show that, upon shearing, the dilatancy post-peak increases with increasing
b
, so that at a given mean effective stress, the void ratio at the critical state increases systematically with
b
. Four commonly-used three-dimensional failure criteria are shown to give a better match to the simulation data at the critical state than at the peak state. While the void ratio at critical state is shown to vary with
b
, the coordination number showed no dependency on
b
. The variation in critical state void ratios at the same
p
′
value is apparently related to the directional fabric anisotropy which is clearly sensitive to
b
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b
=
[
(
σ
2
′
-
σ
3
′
)
/
(
σ
1
′
-
σ
3
′
)
]
. Three types of simulation were performed: drained (with
b
-value specified), constant volume and constant mean effective stress. In contrast to previous DEM observations, the position of the critical state line is shown to depend on
b
. The data also show that, upon shearing, the dilatancy post-peak increases with increasing
b
, so that at a given mean effective stress, the void ratio at the critical state increases systematically with
b
. Four commonly-used three-dimensional failure criteria are shown to give a better match to the simulation data at the critical state than at the peak state. While the void ratio at critical state is shown to vary with
b
, the coordination number showed no dependency on
b
. The variation in critical state void ratios at the same
p
′
value is apparently related to the directional fabric anisotropy which is clearly sensitive to
b
.</description><subject>Complex Fluids and Microfluidics</subject><subject>Computer simulation</subject><subject>Constants</subject><subject>Discrete element method</subject><subject>Engineering Fluid Dynamics</subject><subject>Engineering Thermodynamics</subject><subject>Failure</subject><subject>Failure analysis</subject><subject>Foundations</subject><subject>Geoengineering</subject><subject>Granular materials</subject><subject>Heat and Mass Transfer</subject><subject>Hydraulics</subject><subject>Industrial Chemistry/Chemical Engineering</subject><subject>Materials Science</subject><subject>Original Paper</subject><subject>Physics</subject><subject>Physics and Astronomy</subject><subject>Soft and Granular Matter</subject><subject>Stress ratio</subject><subject>Stress state</subject><subject>Stresses</subject><subject>Three dimensional</subject><subject>Void ratio</subject><issn>1434-5021</issn><issn>1434-7636</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNp1kUtLxDAUhYsoOI7-AHcBN26qeTRJu5RxfMCIG12H2zSdydDHmKTC_HtTO6AIbu695H7ncMlJkkuCbwjG8tbHyniKSZZiTnEqjpIZyViWSsHE8WHmmJLT5Mz7LcaEF0TOknC_fEHQQbP31qO-RmFjkO3qZjCdNj8PwbjWVBaCQT444z1yEGyP-u4b0M4Gq6FJfRiR0mzg0_aDGw3WDrqhAYfauHIWGn-enNSxmYtDnyfvD8u3xVO6en18XtytUs1yGlKuJS8Yq0oMgmphKsw5J4LgnNamAlpnRVFWUoNkcaASl1kOGVQMNNYMajZPriffnes_BuODaq3XpmmgM_3gFRG0YKKgnEX06g-6jefHf4kUF4JmMuc0UmSitOu9d6ZWO2dbcHtFsBpzUFMOKuagxhyUiBo6aXxku7Vxv5z_FX0BgKaLpw</recordid><startdate>20141001</startdate><enddate>20141001</enddate><creator>Huang, X.</creator><creator>Hanley, K. 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J. ; O’Sullivan, C. ; Kwok, C. Y. ; Wadee, M. A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c382t-5c75933db0a62c6ed0555161082feda2f499bd7ca7399b270b48a4ad3ac0c3af3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Complex Fluids and Microfluidics</topic><topic>Computer simulation</topic><topic>Constants</topic><topic>Discrete element method</topic><topic>Engineering Fluid Dynamics</topic><topic>Engineering Thermodynamics</topic><topic>Failure</topic><topic>Failure analysis</topic><topic>Foundations</topic><topic>Geoengineering</topic><topic>Granular materials</topic><topic>Heat and Mass Transfer</topic><topic>Hydraulics</topic><topic>Industrial Chemistry/Chemical Engineering</topic><topic>Materials Science</topic><topic>Original Paper</topic><topic>Physics</topic><topic>Physics and Astronomy</topic><topic>Soft and Granular Matter</topic><topic>Stress ratio</topic><topic>Stress state</topic><topic>Stresses</topic><topic>Three dimensional</topic><topic>Void ratio</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Huang, X.</creatorcontrib><creatorcontrib>Hanley, K. 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A.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Engineered Materials Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>Materials Science Database</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Materials science collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Granular matter</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Huang, X.</au><au>Hanley, K. J.</au><au>O’Sullivan, C.</au><au>Kwok, C. Y.</au><au>Wadee, M. A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>DEM analysis of the influence of the intermediate stress ratio on the critical-state behaviour of granular materials</atitle><jtitle>Granular matter</jtitle><stitle>Granular Matter</stitle><date>2014-10-01</date><risdate>2014</risdate><volume>16</volume><issue>5</issue><spage>641</spage><epage>655</epage><pages>641-655</pages><issn>1434-5021</issn><eissn>1434-7636</eissn><abstract>The critical-state response of granular assemblies composed of elastic spheres under generalised three-dimensional loading conditions was investigated using the discrete element method (DEM). Simulations were performed with a simplified Hertz–Mindlin contact model using a modified version of the LAMMPS code. Initially isotropic samples were subjected to three-dimensional stress paths controlled by the intermediate stress ratio,
b
=
[
(
σ
2
′
-
σ
3
′
)
/
(
σ
1
′
-
σ
3
′
)
]
. Three types of simulation were performed: drained (with
b
-value specified), constant volume and constant mean effective stress. In contrast to previous DEM observations, the position of the critical state line is shown to depend on
b
. The data also show that, upon shearing, the dilatancy post-peak increases with increasing
b
, so that at a given mean effective stress, the void ratio at the critical state increases systematically with
b
. Four commonly-used three-dimensional failure criteria are shown to give a better match to the simulation data at the critical state than at the peak state. While the void ratio at critical state is shown to vary with
b
, the coordination number showed no dependency on
b
. The variation in critical state void ratios at the same
p
′
value is apparently related to the directional fabric anisotropy which is clearly sensitive to
b
.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s10035-014-0520-6</doi><tpages>15</tpages></addata></record> |
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language | eng |
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source | Springer Nature |
subjects | Complex Fluids and Microfluidics Computer simulation Constants Discrete element method Engineering Fluid Dynamics Engineering Thermodynamics Failure Failure analysis Foundations Geoengineering Granular materials Heat and Mass Transfer Hydraulics Industrial Chemistry/Chemical Engineering Materials Science Original Paper Physics Physics and Astronomy Soft and Granular Matter Stress ratio Stress state Stresses Three dimensional Void ratio |
title | DEM analysis of the influence of the intermediate stress ratio on the critical-state behaviour of granular materials |
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