Mechanism of correlation between particle motion and compaction characteristics in gyratory compaction
Li-cai ZHAO1,2(),Yu-xin BIAN3
1. Department of Civil and Construction Engineering, Taiwan University of Science and Technology, Taipei 106335, China 2. China Railway 19th Bureau Group Third Engineering Company Limited, Shenyang 110136, China 3. College of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu 611830, China
To reveal the compaction mechanism of graded aggregates from the perspective of particle motion, polyhedral aggregate specimens were constructed considering the real shape characteristics of aggregates based on the discrete element numerical simulation method. Through the virtual gyratory compaction test, the motion characteristics of the aggregates at different positions of the graded aggregate specimens during the compaction process were investigated. And the correlation mechanism between the particle motion and the compaction characteristics of the graded aggregates were revealed during the gyratory compaction process from a fine viewpoint. Results show that the particle motion responses of all parts of the compacted specimens show similar patterns, and the particle motion and compaction characteristics at intermediate positions can assess the compaction quality of the specimens. The compaction stage can be divided into four stages: initial compaction, transition compaction, locking and compaction. The locking point of particle motion appears at the end of the locking stage, and the appearance of the locking point can be used as a sign that the specimen enters the compacting stage. The particle motion characteristics are superior to the change in porosity inside the specimen to evaluate the compaction quality.
Li-cai ZHAO,Yu-xin BIAN. Mechanism of correlation between particle motion and compaction characteristics in gyratory compaction. Journal of ZheJiang University (Engineering Science), 2022, 56(12): 2471-2477.
Fig.1Different aggregate shapes for graded aggregates
d/mm
P/%
d/mm
P/%
d/mm
P/%
d/mm
P/%
22.40
100
16.00
83.0
9.50
50.0
2.36
0.5
19.00
92.0
13.20
75.0
4.75
12.0
1.60
0
Tab.1Virtual polyhedral specimen particle grading
Fig.2Polyhedral aggregate generation and virtual model construction
Fig.3Polyhedral aggregates of different particle sizes
Fig.4Linear contact model meso-scale components
Fig.5Particle movement monitoring points and gyratory compaction flow chart
Fig.6Variation curve of compaction height and porosity with gyratory compaction times
Fig.7 Variation curve of euler angle with gyratory compaction times at monitoring point 2
Fig.8Variation curve of particles’ relative rotation angle with gyratory compaction times at each monitoring position
Fig.9Division of compaction stages according to relative angle variation characteristics
Fig.10Variation curve of particles ’ relative rotation angle with gyratory compaction times at central monitoring position
Fig.11Schematic diagram of particle attitude adjustment during compaction of graded aggregates
[1]
叶阳升, 朱宏伟, 尧俊凯, 等 高速铁路路基振动压实理论与智能压实技术综述[J]. 中国铁道科学, 2021, 42 (5): 1- 11 YE Yang-sheng, ZHU Hong-wei, YAO Jun-kai, et al Review of vibration compaction theory and intelligent compaction technology of high-speed railway subgrade[J]. China Railway Science, 2021, 42 (5): 1- 11
doi: 10.3969/j.issn.1001-4632.2021.05.01
[2]
ZHANG J K, LING J M, QIAN J S, et al. Application of gyratory compaction for determining the target values for pavement subgrade compaction [C]// Proceedings of GeoShanghai 2018 International Conference: Transportation Geotechnics and Pavement Engineering. [S.l.]: Springer, 2018 : 311–318.
[3]
ZHANG J K, WHITE D J, VENNAPUSA P K R Estimating mechanistic parameters for subgrade using gyratory compaction with pressure distribution analyzer[J]. Journal of Materials in Civil Engineering, 2017, 29 (11): 04017216
doi: 10.1061/(ASCE)MT.1943-5533.0002028
[4]
PETERSON R L, MAHBOUB K C, ANDERSON R M, et al Comparing superpave gyratory compactor data to field cores[J]. Journal of Materials in Civil Engineering, 2004, 16 (1): 78- 83
doi: 10.1061/(ASCE)0899-1561(2004)16:1(78)
[5]
GONG F Y, LIU Y, ZHOU X D, et al Lab assessment and discrete element modeling of asphalt mixture during compaction with elongated and flat coarse aggregates[J]. Construction and Building Materials, 2018, 182: 573- 579
doi: 10.1016/j.conbuildmat.2018.06.059
[6]
CERNI G, CAMILLI S Comparative analysis of gyratory and proctor compaction processes of unbound granular materials[J]. Road Materials and Pavement Design, 2011, 12 (2): 397- 421
doi: 10.1080/14680629.2011.9695251
[7]
COSENTINO P J, BLEAKLEY A M, SAJJADI A M, et al Evaluating laboratory compaction techniques of reclaimed asphalt pavement[J]. Transportation Research Record: Journal of the Transportation Research Board, 2013, 2335 (1): 89- 98
doi: 10.3141/2335-10
[8]
RIBAS C Y, THIVES L P Evaluation of effect of compaction method on the macrostructure of asphalt mixtures through digital image processing under Brazilian conditions[J]. Construction and Building Materials, 2019, 228: 116821
doi: 10.1016/j.conbuildmat.2019.116821
[9]
谭波, 杨涛 振动旋转压实级配碎石制样方法及力学性能试验[J]. 华侨大学学报:自然科学版, 2021, 42 (3): 322- 328 TAN Bo, YANG Tao Sample preparation method and mechanical property test of graded crushed stone under gyrator and vibration compaction[J]. Journal of Huaqiao University: Natural Science, 2021, 42 (3): 322- 328
[10]
刘栋, 李立寒 旋转压实成型水泥稳定类基层材料试验[J]. 中国公路学报, 2019, 32 (11): 118- 128 LIU Dong, LI Li-han Experiment on gyratory compaction of cement stabilized base course materials[J]. China Journal of Highway and Transport, 2019, 32 (11): 118- 128
[11]
MASAD E, MUHUNTHAN B, SHASHIDHAR N, et al Internal structure characterization of asphalt concrete using image analysis[J]. Journal of Computing in Civil Engineering, 1999, 13 (2): 88- 95
doi: 10.1061/(ASCE)0887-3801(1999)13:2(88)
[12]
王萌, 肖源杰, 王小明, 等 道砟压实质量与颗粒运动关联特征及内在机制研究[J]. 铁道科学与工程学报, 2021, 18 (8): 2055- 2065 WANG Meng, XIAO Yuan-jie, WANG Xiao-ming, et al Investigating correlation characteristics and intrinsic mechanism between compaction quality and particle movement of railway ballasts[J]. Journal of Railway Science and Engineering, 2021, 18 (8): 2055- 2065
doi: 10.19713/j.cnki.43-1423/u.t20210240
[13]
WANG X, SHEN S H, HUANG H, et al Characterization of particle movement in Superpave gyratory compactor at meso-scale using SmartRock sensors[J]. Construction and Building Materials, 2018, 175: 206- 214
doi: 10.1016/j.conbuildmat.2018.04.146
[14]
XIAO Y J, WANG M, WANG X M, et al Evaluating gyratory compaction characteristics of unbound permeable aggregate base materials from meso-scale particle movement measured by smart sensing technology[J]. Materials, 2021, 14 (15): 4287
doi: 10.3390/ma14154287
[15]
CHEN J S, HUANG B S, CHEN F, et al Application of discrete element method to Superpave gyratory compaction[J]. Road Materials and Pavement Design, 2012, 13 (3): 480- 500
doi: 10.1080/14680629.2012.694160
[16]
GONG F Y, ZHOU X D, YOU Z P, et al Using discrete element models to track movement of coarse aggregates during compaction of asphalt mixture[J]. Construction and Building Materials, 2018, 189: 338- 351
doi: 10.1016/j.conbuildmat.2018.08.133
[17]
CHEN J S, HUANG B S, SHU X Air-void distribution analysis of asphalt mixture using discrete element method[J]. Journal of Materials in Civil Engineering, 2012, 25 (10): 1375- 1385
[18]
CHEN J S, HUANG B S, SHU X, et al DEM simulation of laboratory compaction of asphalt mixtures using an open source code[J]. Journal of Materials in Civil Engineering, 2015, 27 (3): 04014130
doi: 10.1061/(ASCE)MT.1943-5533.0001069
[19]
ZHOU X D, CHEN S Y, GE D D, et al Investigation of asphalt mixture internal structure consistency in accelerated discrete element models[J]. Construction and Building Materials, 2020, 244: 118272
doi: 10.1016/j.conbuildmat.2020.118272
[20]
POTYONDY D O The bonded-particle model as a tool for rock mechanics research and application: current trends and future directions[J]. Geosystem Engineering, 2015, 18 (1): 1- 28
doi: 10.1080/12269328.2014.998346
[21]
BEK L, KOTTNER R, LAS V Material model for simulation of progressive damage of composite materials using 3D Puck failure criterion[J]. Composite Structures, 2021, 259: 113435
doi: 10.1016/j.compstruct.2020.113435
[22]
CUNDALL P A, STRACK O D L A discrete numerical model for granular assemblies[J]. Geotechnique, 1979, 29 (1): 47- 65
doi: 10.1680/geot.1979.29.1.47
[23]
WANG X M, XIAO Y J, SHI W B, et al Research on meso-scale deformation and failure mechanism of fractured rock mass subject to biaxial compression[J]. Arabian Journal of Geosciences, 2021, 14: 1390
doi: 10.1007/s12517-021-07769-x
[24]
SHI C, YANG W K, YANG J X, et al Calibration of micro-scaled mechanical parameters of granite based on a bonded-particle model with 2D particle flow code[J]. Granular Matter, 2019, 21: 38
doi: 10.1007/s10035-019-0889-3
[25]
阿比尔的, 郑颖人, 冯夏庭, 等 平行黏结模型宏细观力学参数相关性研究[J]. 岩土力学, 2018, 39 (4): 1289- 1301 ABI Erdi, ZHEN Ying-ren, FENG Xia-ting, et al Relationship between particle micro and macro mechanical parameters of parallel-bond model[J]. Rock and Soil Mechanics, 2018, 39 (4): 1289- 1301
[26]
WANG X M, XIAO Y J, SHI W B, et al Forensic analysis and numerical simulation of a catastrophic landslide of dissolved and fractured rock slope subject to underground mining[J]. Landslides, 2022, 19: 1045- 1067
doi: 10.1007/s10346-021-01842-y