Effect of joint density on mechanical behavior of rock mass: Insight from 3D printing tests and DEM simulation

被引:6
作者
Jia, Chaojun [1 ]
Chen, Fanlei [1 ]
Zhou, Shijie [1 ]
Lei, Mingfeng [1 ]
Huang, Juan [1 ]
Zheng, Yanni [1 ]
机构
[1] Cent South Univ, Sch Civil Engn, Changsha 410083, Peoples R China
基金
中国国家自然科学基金;
关键词
Joint intensity; 3D printing technology; Discrete element method; Jointed rock mass; Mechanical properties; DEFORMATION MODULUS; SYNTHETIC ROCK; STRENGTH; FAILURE; PARAMETERS;
D O I
10.1016/j.engfracmech.2025.110846
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
The complex structure of rock masses makes their strength and failure behavior highly variable. The investigation of the strength and failure of jointed rock masses remains a critical issue in rock engineering. This study combined 3D printing experiments and numerical simulation to examine the effect of joint density on the mechanical properties of rock masses. A network of persistent joints was developed using 3D printing to create rock-like specimens that were then subjected to uniaxial compression tests. CT scanning was used to monitor the failure modes of the materials with different joint densities. Laboratory tests showed that the peak strength and elastic modulus of rock-like materials decayed as a power function with increasing joint density. Numerical simulations revealed the crack initiation, propagation, coalescence, and ultimate failure processes in specimens with varying joint densities under uniaxial compression. The results indicated that a higher normal stiffness of the joints led to a lower elastic modulus, whereas a greater shear stiffness resulted in a smaller elastic modulus. There is a threshold for joint cohesion. Below this threshold, the peak strength of the rock mass increases with increasing joint cohesion, and the strength increases linearly with the internal friction angle of the joints. Finally, the limitations of using 3D printing and numerical simulations to study the mechanical properties of natural rock masses were discussed.
引用
收藏
页数:23
相关论文
共 55 条
[1]   ON THE MORI-TANAKA METHOD IN CRACKED BODIES [J].
BENVENISTE, Y .
MECHANICS RESEARCH COMMUNICATIONS, 1986, 13 (04) :193-201
[2]   Estimation of rock mass deformation modulus and strength of jointed hard rock masses using the GSI system [J].
Cai, M ;
Kaiser, PK ;
Uno, H ;
Tasaka, Y ;
Minami, M .
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES, 2004, 41 (01) :3-19
[3]   Crack Initiation, Propagation, and Failure Characteristics of Jointed Rock or Rock-Like Specimens: A Review [J].
Cao, Ri-hong ;
Cao, Ping ;
Lin, Hang ;
Fan, Xiang ;
Zhang, Chunyang ;
Liu, Taoying .
ADVANCES IN CIVIL ENGINEERING, 2019, 2019
[4]   Strength Anisotropy of Rock with Crossing Joints: Results of Physical and Numerical Modeling with Gypsum Models [J].
Chang, Lifu ;
Konietzky, Heinz ;
Fruehwirt, Thomas .
ROCK MECHANICS AND ROCK ENGINEERING, 2019, 52 (07) :2293-2317
[5]   Rock mass permeability evolution during triaxial shearing based on three-dimensional distinct element model (3DEC) simulation [J].
Corkum, A. G. ;
Lorig, L. J. ;
Varun, V. .
COMPUTERS AND GEOTECHNICS, 2024, 168
[6]   3D printing lightweight aggregate concrete prepared with shell-packing-aggregate method- Printability, mechanical properties and pore structure [J].
Deng, Zhicong ;
Jia, Zijian ;
Zhang, Chao ;
Wang, Zhibin ;
Jia, Lutao ;
Ma, Lei ;
Wang, Xianggang ;
Zhang, Yamei .
JOURNAL OF BUILDING ENGINEERING, 2022, 62
[7]   CHARACTERIZING ROCK JOINT GEOMETRY WITH JOINT SYSTEM MODELS [J].
DERSHOWITZ, WS ;
EINSTEIN, HH .
ROCK MECHANICS AND ROCK ENGINEERING, 1988, 21 (01) :21-51
[8]   Effects of strain rate on the mechanical and fracturing behaviors of rock-like specimens containing two unparallel fissures under uniaxial compression [J].
Feng, Peng ;
Dai, Feng ;
Liu, Yi ;
Xu, Nuwen ;
Zhao, Tao .
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING, 2018, 110 :195-211
[9]   Experimental Investigation of the Mechanical Behavior and Permeability of 3D Printed Sandstone Analogues Under Triaxial Conditions [J].
Gomez, J. S. ;
Chalaturnyk, R. J. ;
Zambrano-Narvaez, G. .
TRANSPORT IN POROUS MEDIA, 2019, 129 (02) :541-557
[10]   Machine learning aided stochastic reliability analysis of spatially variable slopes [J].
He, Xuzhen ;
Xu, Haoding ;
Sabetamal, Hassan ;
Sheng, Daichao .
COMPUTERS AND GEOTECHNICS, 2020, 126