Stabilizing a post-landslide loess slope with anti-slide piles in Yan’an, China

Li, Hao; Qin-wen, DU

doi:10.1007/s12665-021-10051-8

Cited by 9 publications

(5 citation statements)

References 35 publications

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“…With the development of urbanization in the Loess Plateau region, the high side slopes caused by deep excavation and high fill are frequently encountered in highways, bridges, and architectural engineering. The failure of high slopes in the deep excavation or high fill during construction is becoming more and more prominent [1][2][3]. The high slope threatens the safety of buildings/structures, constructors, and surrounding villages.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Time Series Model for Predicting the Displacement of High Slope in the Loess Plateau Region

Liu

2023

Sustainability

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The physical and mechanical properties of the loess differ from other kinds of soil due to its collapsibility, which has resulted in the complex displacement development law of the loess slope. Therefore, the accurate estimation of the displacement of high slopes in a loess gully region is critical for the safety of people and in construction activities. In the present study, to improve the accuracy of traditional methods, the original cumulative displacement curve was decomposed into trend and fluctuation terms using Empirical Mode Decomposition (EMD) and Wavelet Decomposition (WD). Subsequently, the results were estimated using the Support Vector Machine (SVR) and Long Short-Term Memory Network (LSTM) optimized by Biogeography-based Optimization (BBO), respectively. To select the most appropriate model, SVR, LSTM, EMD-SVR-LSTM, EMD-BBO-SVR-LSTM, and WD-BBO-SVR-LSTM were employed to predict the deformation of a loess slope in the Loess Plateau of China. According to the results, the displacement increases rapidly at the starting stage, and then gradually stabilizes, which is the same as the trend in reality. On comparing the predicted results with field data, it was found that the models with decomposition algorithms achieved higher accuracy. Particularly, the determination coefficient of the EMD-BBO-SVR-LSTM model reaches 0.928, which has better algorithm stability and prediction accuracy than other models. In this study, the decomposition algorithm was applied to the loess slope displacement innovatively, and the appropriate machine learning algorithm adopted for the displacement components. The method improves the accuracy of prediction and provides a new idea for instability warning of loess excavation slopes. The research has implications for urban construction and sustainable development in loess mountainous areas.

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Section: Introductionmentioning

confidence: 99%

A Hybrid Time Series Model for Predicting the Displacement of High Slope in the Loess Plateau Region

Liu

2023

Sustainability

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“…The shear capacity of the soil arch reflects the strength of the soil arching effect, and the shear strength of soil mainly depends on the internal friction angle and cohesion. It is generally believed that the internal friction angle of soil affects the biting force produced by the mutual embedding and extrusion between soil particles [25,26]. The greater the biting force, the stronger the bearing capacity of the soil arch.…”

Section: Influence Of Filling Properties On Soil Arching Effect and S...mentioning

confidence: 99%

Analysis of Influence Factors of Anti-Slide Pile with Prestressed Anchor Cable Based on Bearing and Deformation Characteristics of Pile Body

et al. 2023

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In order to deeply study the mechanism of prestressed anchor anti-slide pile, an indoor model experimental device was developed, and a finite difference and particle flow numerical analysis model of slope anchor cable anti-slide pile was established based on the reinforcement project of prestressed anchor cable anti-slide pile in a mountain road slope. Based on the analysis of the force and displacement characteristics of the anti-slide pile, the influence of the prestress of the anchor cable, the inclination angle of the anchor cable, the width and column spacing of the anti-slide pile and the inclination angle of the landslide, the height and nature of the filling soil on the force and deformation characteristics of the pile are discussed, and some design parameters are optimized. Results show that the larger the prestress of the anchor cable, the smaller the displacement of the pile body, but the excessive stress is not conducive to the safety of the pile body. The optimal tension should be 50–70% of the designed tension of the anchor cable. With the increase in the inclination angle of the anchor cable, the displacement of the pile decreases first and then increases, and there is an optimal inclination angle of the anchor cable. In the double row piles, with the increase in pile spacing, the front row piles gradually change from supporting the soil between the double row piles to supporting the sliding body with the back row piles, and the double row piles are plum-shaped. When the pile spacing is 2.5 times the pile diameter, the force of the front and rear piles is the most reasonable. In the process of soil arching evolution, the influence of cohesion on the soil arching effect is greater than that of the internal friction angle.

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“…To verify the engineering applicability of the proposed armstretching-type anti-slide pile, the conventional single pile and the proposed pile type were applied in the same project to perform numerical analyses (Shooshpasha and Amirdehi, 2015;Han et al, 2019). A typical three-dimensional landslide anti-slide pile control model was established using ABAQUS (Muraro et al, 2014;Tang et al, 2018;Li and Du, 2021). The mechanical parameters of the landslide and the anti-slide pile are listed in Table 5.…”

Section: Model Parametersmentioning

confidence: 99%

New Arm-Stretching-Type Anti-Slide Pile Design and Verification

et al. 2022

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Anti-slide piles play an important role in landslide control. However, owing to a limitation in the slide–resist design concept, large landslides are difficult to control. Moreover, the displacements of controlled projects are significant. In this paper, we propose an improved anti-slide pile design concept that develops and utilizes the landslide body. On this basis, we also design an arm-stretching-type anti-slide pile structure. We establish formulas for calculating the internal forces of this structure. The results of a case study indicate that the maximum shear force and bending moment of the arm-stretching-type anti-slide pile body were reduced by 43.6% and 25.4%, respectively, compared with those of a conventional single pile. Furthermore, the results of numerical modeling indicate that the arm-stretching-type anti-slide pile could significantly reduce landslide displacement. Thus, the proposed design is expected to solve the problems encountered when using conventional anti-slide piles for landslide control and can thereby become widely applicable in practice.

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Stabilizing a post-landslide loess slope with anti-slide piles in Yan’an, China

Cited by 9 publications

References 35 publications

A Hybrid Time Series Model for Predicting the Displacement of High Slope in the Loess Plateau Region

A Hybrid Time Series Model for Predicting the Displacement of High Slope in the Loess Plateau Region

Analysis of Influence Factors of Anti-Slide Pile with Prestressed Anchor Cable Based on Bearing and Deformation Characteristics of Pile Body

New Arm-Stretching-Type Anti-Slide Pile Design and Verification

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