Investigation of internal force of anti-slide pile on landslides considering the actual distribution of soil resistance acting on anti-slide piles

Xiaoyan Liu (), Guojun Cai (), Lulu Liu () and Zhijun Zhou ()
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Xiaoyan Liu: Southeast University
Guojun Cai: Southeast University
Lulu Liu: Southeast University
Zhijun Zhou: Chang’an University

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2020, vol. 102, issue 3, No 31, 1369-1392

Abstract: Abstract Frequent landslides have generated huge security threats and economic losses all over the world. As an important anti-slip retaining structure, anti-slide piles can maintain the slope stability. The distribution of soil resistance acting on piles is the critical factor influencing the design of anti-slide piles, and the method of calculating the internal force is directly related to the landslide treatment and construction cost. However, limitations in the method of calculating the internal force of anti-slide piles still exist. In this paper, the influence of the internal force of anti-slide piles both considering and ignoring the soil resistance acting on the piles was verified using ABAQUS software, revealing that the soil resistance indeed had a significant effect on the anti-slide piles, especially when the gradient of the soil before piles was less than 40°. Therefore, the formula for calculating the internal force of anti-slide piles was proposed considering the soil resistance. Based on this formula, the optimum quantity of steel reinforcement and the safety factor were compared in practical slope engineering. This proposed formula considering actual distribution of soil resistance can be used for approximate calculation for anti-slide piles, which can reduce the construction cost, especially in large and neutral landslide engineering.

Keywords: Anti-slide pile; Soil resistance acting on piles; Actual distribution; Numerical validation; Calculation of internal force (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s11069-020-03971-4

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