Multiscale modeling of large deformation in geomechanics
Source abstract
Abstract
Summary Large deformation soil behavior underpins the operation and performance for a wide range of key geotechnical structures and needs to be properly considered in their modeling, analysis, and design. The material point method (MPM) has gained increasing popularity recently over conventional numerical methods such as finite element method (FEM) in tackling large deformation problems. In this study, we present a novel hierarchical coupling scheme to integrate MPM with discrete element method (DEM) for multiscale modeling of large deformation in geomechanics. The MPM is employed to treat a typical boundary value problem that may experience large deformation, and the DEM is used to derive the nonlinear material response from small strain to finite strain required by MPM for each of its material points. The proposed coupling framework not only inherits the advantages of MPM in tackling large deformation engineering problems over the use of FEM (eg, no need for remeshing to avoid mesh distortion in FEM), but also helps avoid the need for complicated, phenomenological assumptions on constitutive material models for soil exhibiting high nonlinearity at finite strain. The proposed framework lends great convenience for us to relate rich grain‐scale information and key micromechanical mechanisms to macroscopic observations of granular soils over all deformation levels, from initial small‐strain stage en route to large deformation regime before failure. Several classic geomechanics examples are used to demonstrate the key features the new MPM/DEM framework can offer on large deformation simulations, including biaxial compression test, rigid footing, soil‐pipe interaction, and soil column collapse.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Fluid Dynamics Simulations and Interactions · Numerical methods in engineering · Geotechnical Engineering and Soil Mechanics
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Civil and Environmental Engineering Hong Kong University of Science and Technology Hong Kong
Funding
National Natural Science Foundation of China
References (93)
Show source-provided references
1. 10.1002/(SICI)1096-9853(199805)22:5<327::AID-NAG920>3.0.CO;2-X10.1002/(SICI)1096-9853(199805)22:5<327::AID-NAG920>3.0.CO;2-X ↗
2. 10.1016/j.compgeo.2007.08.00710.1016/j.compgeo.2007.08.007 ↗
3. 10.1016/j.compgeo.2014.12.00510.1016/j.compgeo.2014.12.005 ↗
4. 10.1016/S0045-7825(00)00176-610.1016/S0045-7825(00)00176-6 ↗
5. 10.1016/S0045-7825(02)00218-910.1016/S0045-7825(02)00218-9 ↗
6. 10.1016/j.cma.2016.12.03810.1016/j.cma.2016.12.038 ↗
7. 10.1016/j.cma.2008.02.02110.1016/j.cma.2008.02.021 ↗
8. 10.1016/j.compgeo.2012.09.01310.1016/j.compgeo.2012.09.013 ↗
9. 10.1016/j.compgeo.2013.07.00110.1016/j.compgeo.2013.07.001 ↗
10. 10.1088/0034-4885/68/8/R0110.1088/0034-4885/68/8/R01 ↗
11. 10.1086/11216410.1086/112164 ↗
12. 10.1002/fld.165020082410.1002/fld.1650200824 ↗
13. 10.1016/j.matcom.2008.01.00310.1016/j.matcom.2008.01.003 ↗
14. A particle method for history‐dependent materials10.1016/0045-7825(94)90112-0 ↗
15. 10.1016/0010-4655(94)00170-710.1016/0010-4655(94)00170-7 ↗
16. The generalized interpolation material point method
17. 10.1002/nag.232110.1002/nag.2321 ↗
18. 10.1016/j.compgeo.2015.11.01210.1016/j.compgeo.2015.11.012 ↗
19. 10.1139/cgj-2016-045510.1139/cgj-2016-0455 ↗
20. 10.1007/s11440-016-0436-x10.1007/s11440-016-0436-x ↗
21. MastCM.Modeling landslide‐induced flow interactions with structures using the material point method.PhD thesis.United States: University of Washington;2013.
22. 10.1016/j.cma.2004.01.03510.1016/j.cma.2004.01.035 ↗
23. 10.1007/s10596-009-9137-y10.1007/s10596-009-9137-y ↗
24. 10.1007/s10346-015-0664-410.1007/s10346-015-0664-4 ↗
25. 10.1061/(ASCE)GT.1943-5606.000101110.1061/(ASCE)GT.1943-5606.0001011 ↗
26. 10.1016/j.compgeo.2014.09.00910.1016/j.compgeo.2014.09.009 ↗
27. 10.1680/jgeot.15.LM.00510.1680/jgeot.15.LM.005 ↗
28. 10.1016/j.powtec.2017.02.02210.1016/j.powtec.2017.02.022 ↗
29. 10.1016/j.ijsolstr.2013.07.00510.1016/j.ijsolstr.2013.07.005 ↗
30. 10.1016/j.compgeo.2011.10.00710.1016/j.compgeo.2011.10.007 ↗
31. 10.1016/S0894-9166(14)60012-410.1016/S0894-9166(14)60012-4 ↗
32. 10.1061/(ASCE)EM.1943-7889.000096210.1061/(ASCE)EM.1943-7889.0000962 ↗
33. 10.1680/geot.12.P.04010.1680/geot.12.P.040 ↗
34. 10.1002/nag.221110.1002/nag.2211 ↗
35. 10.1016/j.ijsolstr.2016.11.01910.1016/j.ijsolstr.2016.11.019 ↗
36. 10.1680/geot.1979.29.1.4710.1680/geot.1979.29.1.47 ↗
37. 10.1016/j.compgeo.2012.07.00210.1016/j.compgeo.2012.07.002 ↗
38. 10.1007/s10035-016-0621-510.1007/s10035-016-0621-5 ↗
39. 10.1002/nag.112410.1002/nag.1124 ↗
40. 10.1007/s11440-011-0140-910.1007/s11440-011-0140-9 ↗
41. 10.1016/j.advwatres.2015.11.01810.1016/j.advwatres.2015.11.018 ↗
42. 10.1016/j.jmps.2010.10.00910.1016/j.jmps.2010.10.009 ↗
43. 10.1002/nme.470210.1002/nme.4702 ↗
44. 10.2478/s11600-014-0228-310.2478/s11600-014-0228-3 ↗
45. 10.1680/jgele.15.0014910.1680/jgele.15.00149 ↗
46. GuoN.Multiscale characterization of the shear behavior of granular media.PhD thesis.Hong Kong: Hong Kong University of Science and Technology;2014.
47. 10.1680/geot.14.P.18410.1680/geot.14.P.184 ↗
48. 10.1016/j.compgeo.2016.01.02010.1016/j.compgeo.2016.01.020 ↗
49. 10.1002/nme.513910.1002/nme.5139 ↗
50. 10.1002/nag.240610.1002/nag.2406 ↗
51. 10.1029/2017JB01536610.1029/2017JB015366 ↗
52. Liang W · 2017 · 50
53. 10.1007/978-3-319-97112-4_10110.1007/978-3-319-97112-4_101 ↗
54. 10.1016/j.proeng.2017.01.00910.1016/j.proeng.2017.01.009 ↗
55. 10.1016/0010-4655(88)90020-310.1016/0010-4655(88)90020-3 ↗
56. The particle‐in‐cell computing method for fluid dynamics
57. 10.1016/0021-9991(86)90211-110.1016/0021-9991(86)90211-1 ↗
58. 10.1016/j.cma.2017.01.03510.1016/j.cma.2017.01.035 ↗
59. 10.1016/j.engfracmech.2015.07.01410.1016/j.engfracmech.2015.07.014 ↗
60. 10.1145/2461912.246194810.1145/2461912.2461948 ↗
61. 10.1016/j.jcp.2017.02.05010.1016/j.jcp.2017.02.050 ↗
62. 10.1115/1.401070210.1115/1.4010702 ↗
63. 10.1061/(ASCE)GM.1943-5622.000046710.1061/(ASCE)GM.1943-5622.0000467 ↗
64. 10.1016/j.jmps.2017.10.00310.1016/j.jmps.2017.10.003 ↗
65. 10.1115/1.315761910.1115/1.3157619 ↗
66. 10.1016/j.ijsolstr.2013.04.00110.1016/j.ijsolstr.2013.04.001 ↗
67. SatakeM.Fabric tensor in granular materials. In: IUTAM Conference on Deformation and Flow of Granular Materials;1982;AA Balkema:63‐68.
68. 10.3208/sandf1972.22.4_9610.3208/sandf1972.22.4_96 ↗
69. NairnJA.Material point method (NairnMPM) and finite element analysis (NairnFEA) open‐source software. URLhttps://github.com/nairnj/nairn-mpm-fea.2011.
70. Smilauer V · 2015
71. 10.1006/jcph.2002.710310.1006/jcph.2002.7103 ↗
72. 10.1016/j.cma.2016.03.00410.1016/j.cma.2016.03.004 ↗
73. 10.1002/nme.14210.1002/nme.142 ↗
74. 10.1002/nme.204210.1002/nme.2042 ↗
75. 10.1002/nme.236010.1002/nme.2360 ↗
76. 10.1007/978-3-319-56397-8_5710.1007/978-3-319-56397-8_57 ↗
77. 10.1016/j.compgeo.2010.09.00210.1016/j.compgeo.2010.09.002 ↗
78. 10.1002/nag.65710.1002/nag.657 ↗
79. Terzaghi K · 1951
80. Etude experimentale de la capacite portante du sable sous des fondations directes etablies en surface
81. 10.1002/zamm.1921001010210.1002/zamm.19210010102 ↗
82. Analysis of ultimate loads of shallow foundations10.1061/JSFEAQ.0001846 ↗
83. Seabed characterisation and models for pipeline‐soil interaction
84. 10.1063/1.173661110.1063/1.1736611 ↗
85. 10.1063/1.208768710.1063/1.2087687 ↗
86. 10.1103/PhysRevE.72.04130110.1103/PhysRevE.72.041301 ↗
87. 10.1017/S002211200400903610.1017/S0022112004009036 ↗
88. 10.1016/j.ijsolstr.2017.07.01610.1016/j.ijsolstr.2017.07.016 ↗
89. 10.1007/s10035-013-0445-510.1007/s10035-013-0445-5 ↗
90. 10.1016/j.cma.2014.06.02210.1016/j.cma.2014.06.022 ↗
91. 10.1016/j.jmps.2016.02.02110.1016/j.jmps.2016.02.021 ↗
92. 10.1680/jgeot.17.P.27410.1680/jgeot.17.P.274 ↗
93. 10.1145/3072959.307365110.1145/3072959.3073651 ↗