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Weiping Liu - One of the best experts on this subject based on the ideXlab platform.
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Stability analysis of hydrodynamic pressure landslides with different permeability Coefficients affected by reservoir water level fluctuations and rainstorms
Water, 2017Co-Authors: Faming Huang, Xiaoyan Luo, Weiping LiuAbstract:It is significant to study the variations in the Stability Coefficients of hydrodynamic pressure landslides with different permeability Coefficients affected by reservoir water level fluctuations and rainstorms. The Sifangbei landslide in Three Gorges Reservoir area is used as case study. Its Stability Coefficients are simulated based on saturated-unsaturated seepage theory and finite element analysis. The operating conditions of Stability Coefficients calculation are reservoir water level variations between 175 m and 145 m, different rates of reservoir water level fluctuations, and a three-day continuous rainstorm. Results show that the Stability Coefficient of the hydrodynamic pressure landslide decreases with the drawdown of the reservoir water level, and a rapid drawdown rate leads to a small Stability Coefficient when the permeability Coefficient ranges from 1.16 × 10−6 m/s to 4.64 × 10−5 m/s. Additionally, the landslide Stability Coefficient increases as the reservoir water level increases, and a rapid increase in the water level leads to a high Stability Coefficient when the permeability Coefficient ranges from 1.16 × 10−6 m/s to 4.64 × 10−5 m/s. The landslide Stability Coefficient initially decreases and then increases as the reservoir water level declines when the permeability Coefficient is greater than 4.64 × 10−5 m/s. Moreover, for structures with the same landslide, the landslide Stability Coefficient is most sensitive to the change in the rate of reservoir water level drawdown when the permeability Coefficient increases from 1.16 × 10−6 m/s to 1.16 × 10−4 m/s. Additionally, the rate of decrease in the Stability Coefficient increases as the permeability Coefficient increases. Finally, the three-day rainstorm leads to a significant reduction in landslide Stability, and the rate of decrease in the Stability Coefficient initially increases and then decreases as the permeability Coefficient increases.
Faming Huang - One of the best experts on this subject based on the ideXlab platform.
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Stability analysis of hydrodynamic pressure landslides with different permeability Coefficients affected by reservoir water level fluctuations and rainstorms
Water, 2017Co-Authors: Faming Huang, Xiaoyan Luo, Weiping LiuAbstract:It is significant to study the variations in the Stability Coefficients of hydrodynamic pressure landslides with different permeability Coefficients affected by reservoir water level fluctuations and rainstorms. The Sifangbei landslide in Three Gorges Reservoir area is used as case study. Its Stability Coefficients are simulated based on saturated-unsaturated seepage theory and finite element analysis. The operating conditions of Stability Coefficients calculation are reservoir water level variations between 175 m and 145 m, different rates of reservoir water level fluctuations, and a three-day continuous rainstorm. Results show that the Stability Coefficient of the hydrodynamic pressure landslide decreases with the drawdown of the reservoir water level, and a rapid drawdown rate leads to a small Stability Coefficient when the permeability Coefficient ranges from 1.16 × 10−6 m/s to 4.64 × 10−5 m/s. Additionally, the landslide Stability Coefficient increases as the reservoir water level increases, and a rapid increase in the water level leads to a high Stability Coefficient when the permeability Coefficient ranges from 1.16 × 10−6 m/s to 4.64 × 10−5 m/s. The landslide Stability Coefficient initially decreases and then increases as the reservoir water level declines when the permeability Coefficient is greater than 4.64 × 10−5 m/s. Moreover, for structures with the same landslide, the landslide Stability Coefficient is most sensitive to the change in the rate of reservoir water level drawdown when the permeability Coefficient increases from 1.16 × 10−6 m/s to 1.16 × 10−4 m/s. Additionally, the rate of decrease in the Stability Coefficient increases as the permeability Coefficient increases. Finally, the three-day rainstorm leads to a significant reduction in landslide Stability, and the rate of decrease in the Stability Coefficient initially increases and then decreases as the permeability Coefficient increases.
Xiong Li-peng - One of the best experts on this subject based on the ideXlab platform.
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Influencing factors for ultimate bearing capacity of multi-span tied arch bridge
Journal of Shenyang University of Technology, 2013Co-Authors: Xiong Li-pengAbstract:In order to obtain the Stability Coefficient and safety stock of multi-span tied arch bridge,a spatial finite element model for multi-span tied arch bridge was established.Through the buckling analysis on eigenvalue,the Stability Coefficients of the completed bridge state under various operating conditions were attained.In addition,the influence of bracing stiffness and bracing number on the Stability Coefficient was analyzed.Through the ultimate bearing capacity analysis with considering both material nonlinearity and geometric nonlinearity,the dead load and live load Stability Coefficients for completed bridge state were obtained.Moreover,the effect of wind load,temperature action,load arrangement and initial defect on the Stability Coefficient was analyzed.The analysis results show that the buckling analysis on eigenvalue can provide reasonable estimation for the structural ultimate capacity,and the bracing stiffness has a greater influence on the structural Stability Coefficient compared with the bracing number.In the analysis process of ultimate bearing capacity,the quarter points and mid-span of main arch firstly reach the plastic state.Furthermore,the static wind load has a greater effect on the structural Stability Coefficient compared with the temperature action and initial defect.
Xiaoyan Luo - One of the best experts on this subject based on the ideXlab platform.
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Stability analysis of hydrodynamic pressure landslides with different permeability Coefficients affected by reservoir water level fluctuations and rainstorms
Water, 2017Co-Authors: Faming Huang, Xiaoyan Luo, Weiping LiuAbstract:It is significant to study the variations in the Stability Coefficients of hydrodynamic pressure landslides with different permeability Coefficients affected by reservoir water level fluctuations and rainstorms. The Sifangbei landslide in Three Gorges Reservoir area is used as case study. Its Stability Coefficients are simulated based on saturated-unsaturated seepage theory and finite element analysis. The operating conditions of Stability Coefficients calculation are reservoir water level variations between 175 m and 145 m, different rates of reservoir water level fluctuations, and a three-day continuous rainstorm. Results show that the Stability Coefficient of the hydrodynamic pressure landslide decreases with the drawdown of the reservoir water level, and a rapid drawdown rate leads to a small Stability Coefficient when the permeability Coefficient ranges from 1.16 × 10−6 m/s to 4.64 × 10−5 m/s. Additionally, the landslide Stability Coefficient increases as the reservoir water level increases, and a rapid increase in the water level leads to a high Stability Coefficient when the permeability Coefficient ranges from 1.16 × 10−6 m/s to 4.64 × 10−5 m/s. The landslide Stability Coefficient initially decreases and then increases as the reservoir water level declines when the permeability Coefficient is greater than 4.64 × 10−5 m/s. Moreover, for structures with the same landslide, the landslide Stability Coefficient is most sensitive to the change in the rate of reservoir water level drawdown when the permeability Coefficient increases from 1.16 × 10−6 m/s to 1.16 × 10−4 m/s. Additionally, the rate of decrease in the Stability Coefficient increases as the permeability Coefficient increases. Finally, the three-day rainstorm leads to a significant reduction in landslide Stability, and the rate of decrease in the Stability Coefficient initially increases and then decreases as the permeability Coefficient increases.
Garmondyu E. Crusoe - One of the best experts on this subject based on the ideXlab platform.
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Stability analysis of the sliding process of the west slope in Buzhaoba Open-Pit Mine
International Journal of Mining Science and Technology, 2016Co-Authors: Ning Fang, Garmondyu E. CrusoeAbstract:Abstract To study the Stability of the west slope in Buzhaoba Open-Pit Mine and determine the aging Stability Coefficient during slide mass development, the deformation band of the west slope and the slide mass structure of the 34,600 profile are obtained on the basis of hydrology, geology, and monitoring data. The residual thrust method is utilized to calculate the Stability Coefficients, which are 1.225 and 1.00 under sound and transfixion conditions, respectively. According to the rock damage and fragmentation and the principle of mechanical parameter degradation, the mechanical models of the slide mass development of the hard and soft rock slopes are established. An integrated model for calculating the slope Stability Coefficient is built considering water, vibration, and other external factors that pertain to the structural plane damage mechanism and the generating mechanism of the sliding mass. The change curve of the Stability Coefficient in the slide mass development is obtained from the relevant analyses, and afterwards, the Stability control measures are proposed. The analysis results indicate that in the cracking stage of the hard rock, the slope Stability Coefficient decreases linearly with the increase in the length L b of the hard rock crack zone. The linear slope is positively correlated to rock cohesion c . In the transfixion stage of the soft rock, the decrease speed of the Stability Coefficient is positively correlated to the residual strength of the soft rock. When the slope is stable, the Stability Coefficient is in a quadratic-linear relationship with the decreased height Δ h of the side slope and in a linear relationship with anchoring force P .
