Abstract
In order to effectively grasp the real-time working status of anti-slip piles and the reinforcement effect of slopes, timely information monitoring of anti-slip piles is carried out, and the reinforcement range is modeled, and the analysis and evaluation method of slicing model numerical calculation and information monitoring data is proposed, and the information monitoring data is compared with numerical simulation to achieve effective grasp of By comparing the information monitoring data with the numerical simulation, we can effectively grasp the timely working condition of the anti-slip pile and the reinforcement effect of the soil around the pile. This is a very important engineering practice for the evaluation of anti-slip pile reinforced slope areas.
Highlights
The above study discussed the influence of anti-slip piles on slope stability and the influence of anti-slip pile parameter settings on slope stability, but there is no analysis method for the integration of numerical simulation technology and information monitoring technology items
Point 7 is located on the outside of the anti-slip pile and the upper part of the landslide body, which is used to monitor the displacement of the lower part of the landslide body and the outside of the anti-slip pile
Point 6 is placed inside the anti-slip pile and the upper part of the landslide body, which is used to monitor the displacement of the upper part of the landslide body and the inner part of the anti-slip pile
Summary
Lei Wenjie et al [1] conducted numerical simulation of slope reinforced by anti-slip piles based on the finite element strength reduction method, and explored the influence of pile position on the stability safety coefficient, location and shape of the most dangerous sliding surface of the slope The relationship between the pile spacing and the friction angle within the soil as well as the pile spacing and the slope inclination was analyzed by Zhao Minghua et al [2] based on the sloping arch effect of the soil between piles; Nian Yankai et al [3,4] used the upper and lower limit theorems of plastic limit analysis to analyze the anchorage depth and the ultimate earth pressure on the pile side of the anti-slip pile considering the influence of various parameters in the slope; Ausilio et al [5] obtained the relationship between the optimal position of anti-slip piles and the slope safety factor by analyzing the stability of slopes with and without piles, and determined the critical sliding surface and safety factor (Eq.) for slopes without piles; Hassiotis et al [6] performed stability analysis of slopes based on the friction circle method, and introduced the stability number considering anti-slip piles to determine the new most dangerous sliding surface and safety factor; Won [7] used a shell unit simulated the interaction relationship between the anti-slip pile and the soil body, obtained the safety coefficient of the slope under different pile stiffness and pile head restraint conditions, and analyzed the shear force on the contact surface, and proposed the location of the point corresponding to the slip crack surface at the pile setting at the maximum shear force of the pile body; Dai Zihang [8] studied and deduced the different distribution of the landslide thrust and soil and rock resistance based on the model test of anti-slip pile and field test results in China functions; Song Yingjie et al [9] reviewed the theories of domestic and foreign methods on stability analysis of antislip column reinforced slopes and compared and analyzed their advantages and disadvantages; Liu Bo et al [10] used FLAC~(3D) for numerical simulation to study the mechanism of anti-slip pile overtopping failure of a high slope under rainfall conditions and made trial calculations on the reasonable location of anti-slip piles; Liu Tao et al [11] constructed a three-dimensional multilayered landslide body model, analyzed the formation process of the soil arch behind the pile and the four stages of soil arch evolution, and proposed a strip division method applicable to multilayered landslides.Zhang Youjun et al.[12] analyzed the various characteristics of landslides during the sliding, sliding acceleration and sliding mitigation stages through the observation data of landslide surface and support structure (anti-sliding pile) displacement, anti-sliding pile stress monitoring, landslide body deep displacement monitoring, groundwater level monitoring and fracture inspection. The monitoring methods complement each other and provide a comprehensive and accurate understanding of the state of the landslide body, which provides a reliable basis for the information design and safe construction of landslide management. By monitoring the underground displacement during the construction of the landslide, Long Wanxue et al.[13] used hyperbolic exponential smoothing, BP neural network and polynomial regression for tracking prediction, and Verhulst inverse function model for time prediction, analyzed the sliding speed and deformation stage of the landslide, combined with rainfall. The above study discussed the influence of anti-slip piles on slope stability and the influence of anti-slip pile parameter settings on slope stability, but there is no analysis method for the integration of numerical simulation technology and information monitoring technology items
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