Instability of Particulate Assemblies under Constant Shear Drained Stress Path: DEM Approach

被引:35
|
作者
Lashkari, Ali [1 ]
Khodadadi, Mitra [1 ]
Binesh, Seyed Mohammad [1 ]
Rahman, Md Mizanur [2 ,3 ]
机构
[1] Shiraz Univ Technol, Dept Civil & Environm Engn, Shiraz 7194684471, Iran
[2] Univ South Australia, Sch Nat & Built Environm, Mawson Lakkes, SA 5095, Australia
[3] Univ South Australia, Nat & Built Environm Res Ctr NBERC, Mawson Lakkes, SA 5095, Australia
关键词
Sands; Discrete element method (DEM); Instability; Fabric; Anisotropic critical state theory; Constitutive model; CRITICAL-STATE; LOOSE SAND; GRANULAR-MATERIALS; LIQUEFACTION; COLLAPSE; MODEL; BEHAVIOR; FAILURE; PARAMETER; ONSET;
D O I
10.1061/(ASCE)GM.1943-5622.0001407
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
The discrete element method (DEM) is applied to investigate instability of frictional particulate assemblies sheared under the triaxial constant shear drained (CSD) condition. The instability in loose samples occurs in the contractive regime of the behavior prior to the complete mobilization of the critical state friction angle. In contrast, instability of dense assemblies occurs once the peak stress ratio is attained. For the loose assemblies, certain states for the onset of instability may be found by means of the intersection of the effective stress path with the instability line obtained from constant volume tests, the second-order work, nullification of volumetric strain rate, and the abrupt rise in the axial strain rate. However, only the second-order work and the sudden rise in the axial strain rate criteria can be applied to examine the instability of dense granular samples. Using the DEM data, evolutions of coordination number and contact fabric tensor in both loose and dense assemblies are investigated. Also, as a complement, a modified plasticity model based on the anisotropic critical state theory is presented that can effectively simulate the instability of loose and dense samples sheared under CSD stress paths using a single set of the model parameters.
引用
收藏
页数:21
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