scholarly journals Determination of the mechanical parameters of rock mass based on a GSI system and displacement back analysis

2017 ◽  
Vol 14 (4) ◽  
pp. 939-948 ◽  
Author(s):  
Kwang-Song Kang ◽  
Nai-Lian Hu ◽  
Chung-Sik Sin ◽  
Song-Ho Rim ◽  
Eun-Cheol Han ◽  
...  
2020 ◽  
Vol 2020 ◽  
pp. 1-18
Author(s):  
Zhiqiang Li ◽  
Guofeng Liu ◽  
Shuqian Duan ◽  
Shufeng Pei ◽  
Changgen Yan

Geological strength index GSI, disturbance factor (D), material constant mi, and uniaxial compressive strength σci of the intact rock are essential input parameters IPs of the Hoek–Brown H−B criterion. Mechanical parameters MPs of the engineering rock mass, including elastic modulus E, cohesion c, and internal friction angle φ estimated by the H–B criterion, and the predicted excavation response of surrounding rock, including the displacement and excavation damage zone EDZ based on the MPs, are of high relevance with the four IPs of the H–B criterion. In this paper, the deep and huge underground cavern excavated in basalt from a hydropower station under construction in the southwest of China is used to analyse the sensitivity of the IPs on the MPs, the displacement, and EDZ of the surrounding rock mass. Firstly, the H–B criterion is applied to estimate the MPs, among which the IPs are obtained from a series of in situ and laboratory tests, including borehole camera observation, wave velocity test, uniaxial and triaxial compression tests, and so on. Secondly, the sensitivity relationships between IPs, MPs, and prediction results of displacement and EDZ are established and described quantitatively by the sensitivity factor (si). Results show that the MPs of the rock mass are more sensitive to GSI and D⋅GSI and σci are high-sensitivity parameters affecting the displacement and EDZ. Finally, the variations in the estimated MPs and associated prediction results concerning excavation response, which are caused by the uncertainties in the determination of the IPs, are further quantified. This study provides a straightforward assessment for the variability of the rock mass parameters estimated by the H–B criterion. It also gives a valuable reference to similar geotechnical engineering for the determination of rock mass parameters in the preliminary design.


2012 ◽  
Vol 170-173 ◽  
pp. 729-734
Author(s):  
Fan Zhen Meng ◽  
Shao Jun Li ◽  
Zhen Hua Zhang

Back analysis of displacement is an effective method for parameter recognition in geotechnical engineering. As rock and soil are complex geological materials, the relationship between the mechanical parameters of slope sliding mass and its displacement is incompletely quantified and highly nonlinear, but traditional back analysis of displacement has poor adaptability for this. So in this paper an integrating method of genetic algorithm, neural network and numerical analysis (GA-NN) is presented to carry out back analysis for mechanical parameters of slope sliding mass, and procedures to perform the intelligent back analysis are described in detail. Finally, this new method is applied and verified by a practical landslide in the reservoir area of Three Gorges, the results indicate the method is efficient for determination of mechanical parameters of sliding mass.


2012 ◽  
Vol 455-456 ◽  
pp. 1538-1544 ◽  
Author(s):  
Quan Sheng Liu ◽  
Jin Lan Li

The FEM positive analysis is made using H-K non-stationary creep constitutive model in this paper, the finite element program for non-stationary viscoelastic-plastic displacement back analysis is compiled combining the non-stationary viscoelastic-plastic program with the complex shape optimization method, and the displacement back analysis of soft tunnel engineering is conducted. The result indicates that the viscous aging characteristics of rock mass can be reflected objectively if rock mass is regarded as non-stationary viscoelastic-plastic model, and the plastic zone development of surrounding rock can be predicted considering the plastic flow of rock mass and regarding the back analysis results as the calculation parameters.


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