journal article·2024-01-03Open access

Study on Optimal Pile Length in Load Section of Double-Row Buried Pile under Overtopping Failure Mode

Xunchang Li, Mingming Wang, Wei Yang, Rui Xu, Xuqing Pang

Applied Sciences· Volume 14· Issue 1

Abstract

An anti-slide pile is a common landslide control measure. Compared with the full-length pile whose top extends to the ground, the buried pile is more optimal in internal force distribution, saves material and has remarkable economic benefits. At present, there is a lack of in-depth theoretical analysis on the pile length of the load section of double-row buried piles. In order to establish the design calculation method of pile length in the load section of double row buried piles, this paper is based on the failure mode of overtopping. The design equation of load section pile length is obtained by using the transfer coefficient and limit equilibrium method. Taking a landslide in Yan’an City, Shaanxi Province, China, as an example, the reliability and economics of double-row buried piles are verified by comparing the treatment effects of single-row, double-row and double-row buried piles, and the engineering design is completed. The results show that the landslide control project using the design calculation method can meet the requirements of slope stability and at the same time save a quarter of the material compared with the double row of full-length piles. The engineering example proves the rationality and practicability of the design method and provides engineering reference value for the use of the double-row buried anti-slide pile structure in large-scale landslide treatment.
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Research context

OpenAlex topics: Landslides and related hazards · Geotechnical Engineering and Analysis · Dam Engineering and Safety

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Geology Engineering and Geomatics, Chang’an University, Xi’an 710000, China

School of High-speed Railway Engineering, Shaanxi Railway Institute, Weinan 714000, China

Funding

Natural Science Basic Research Program of Shaanxi

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