scholarly journals Numerical calculation method of aperture function for rough rock fracture flow

2021 ◽  
Vol 861 (3) ◽  
pp. 032010
Author(s):  
G Chen ◽  
L Ma ◽  
H S Gong ◽  
F Q Luo
Author(s):  
Xuejiao Shao ◽  
Juan Du ◽  
Liping Zhang ◽  
Hai Xie ◽  
Jun Tian ◽  
...  

Abstract In the code for nuclear equipment, the elasto-plastic correction factor KE is a correction factor when the stress range exceeds the yield limit for simplified elasto-plastic fatigue analysis. The parameters and expressions of KE for commonly used materials (such as austenitic stainless steel) are given in the RCC-M and ASME code, but the parameters of KE for titanium alloy materials is lacking. Based on the cyclic elasto-plastic constitutive model of Z2CND18.12 (nitrogen control) and KE parameters of austenitic stainless steel given in the code, considering various sensitive factors, a numerical calculation method for determining KE correlation coefficient is established. The elasto-plastic constitutive model of TA16 alloy with nonlinear kinematic hardening was established by the uniaxial tension, strain and stress cycling tests of TA16 titanium alloy. Based on the numerical calculation method of KE and the constitutive model of TA16 titanium alloy, the expression and correlation coefficient of KE for TA16 titanium alloy were determined.


Author(s):  
Dan Huang ◽  
Xiao-Qing Li ◽  
Wen-Chao Song

In this study, grading of surrounding rock was based on rock mass basic quality (BQ) values according to the specifications in China. Numerical approach was to construct synthetic rock mass (SRM) model to represent the jointed rock mass, and obtain the strength of the rock mass. It represented intact rock by the bonded particle model (BPM), and represent joint behaviour by the smooth joint model (SJM) to construct the discrete fracture network (DFN). In the Hongtuzhang Tunnel, the micro properties of granite cores with different weathered degrees were determined by the validation process, and the calculation representative elementary volume (REV) of surrounding rock was 15 m×15 m. Five slightly weathered, three slightly to moderately weathered, and two moderately weathered granite surrounding rock mass models were established based on the probability distribution of joint sets in each borehole, the conversion BQ value was acquired according by the calculated strength of rock mass model. It was discussed the differences of surrounding rock grades between the geological survey method and the numerical calculation method, and then found that the geological survey report is higher than the numerical calculation method predicted. And the numerical calculation is consistent with the actual excavation of rock mass at borehole A1388.


2018 ◽  
Vol 5 (3) ◽  
pp. 17-00545-17-00545 ◽  
Author(s):  
Katsuhiro KIKUCHI ◽  
Yuhei NOGUCHI ◽  
Koji NAKADE ◽  
Shinya MASHIMO

Cryogenics ◽  
1989 ◽  
Vol 29 (7) ◽  
pp. 741-747 ◽  
Author(s):  
F. Sumiyoshi ◽  
H. Kasahara ◽  
T. Kawashima ◽  
T. Tanaka

2019 ◽  
Vol 91 ◽  
pp. 101884
Author(s):  
Jian-xing Yu ◽  
Meng-xue Han ◽  
Jing-hui Duan ◽  
Yang Yu ◽  
Zhen-zhou Sun

Meccanica ◽  
2020 ◽  
Vol 55 (7) ◽  
pp. 1435-1451
Author(s):  
Fuhao Liu ◽  
Liang Zhang ◽  
Hanjun Jiang ◽  
Jielu Zhang ◽  
Xuehua Yu

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