Damage Evolution Characteristics of Anti-Slide Piles in Loess Landslides and a Possible Characterization Method

Effective monitoring and early warning of the instability of anti-slide piles in loess landslides depend on identifying the precursory signs of anti-slide pile failure. The acoustic emission (AE) characteristics of concrete anti-slide piles under cyclic loading were studied by using the model box test of the loess landslide-pile system. Cyclic graded loading simulates natural landslide sliding. The synergistic relationship between AE signal characteristics and pile bending moment is established, which reveals the evolution law from micro-damage to macro-damage. The results show that (1) AE ringing count and energy count change in the same way, first stable and then a sudden increase. The evolution of AE dominant frequency and amplitude experiences four stages: low frequency and low amplitude (initial damage), high frequency and low amplitude (stable development), medium frequency and high amplitude (accelerated development), and low frequency and high amplitude (failure). Each stage obviously corresponds to the change in bending moment. (3) The significant increase in the proportion of low-frequency AE energy effectively indicates that the landslide-pile system has entered the state of accelerated deformation and instability, which provides a quantifiable, real-time early warning criterion. This study verifies the feasibility and effectiveness of acoustic emission technology in anti-slide pile damage monitoring and landslide early warning and provides a new technical way for the precursor's identification and early warning of anti-slide pile instability.

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Publication Details

Journal
Sensors
Published
2025-12-27
DOI
https://doi.org/10.3390/s26010192
Primary Topic
Landslides and related hazards
Type
article
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article

Damage Evolution Characteristics of Anti-Slide Piles in Loess Landslides and a Possible Characterization Method

Xunchang Li, Tong Zhao, Suya Zheng, Zheng Lu et al.
Sensors
Landslides and related hazards
article

Damage Evolution Characteristics of Anti-Slide Piles in Loess Landslides and a Possible Characterization Method

Xunchang Li, Tong Zhao, Suya Zheng, Zheng Lu, Wei Yang
article en

Abstract

Effective monitoring and early warning of the instability of anti-slide piles in loess landslides depend on identifying the precursory signs of anti-slide pile failure. The acoustic emission (AE) characteristics of concrete anti-slide piles under cyclic loading were studied by using the model box test of the loess landslide-pile system. Cyclic graded loading simulates natural landslide sliding. The synergistic relationship between AE signal characteristics and pile bending moment is established, which reveals the evolution law from micro-damage to macro-damage. The results show that (1) AE ringing count and energy count change in the same way, first stable and then a sudden increase. The evolution of AE dominant frequency and amplitude experiences four stages: low frequency and low amplitude (initial damage), high frequency and low amplitude (stable development), medium frequency and high amplitude (accelerated development), and low frequency and high amplitude (failure). Each stage obviously corresponds to the change in bending moment. (3) The significant increase in the proportion of low-frequency AE energy effectively indicates that the landslide-pile system has entered the state of accelerated deformation and instability, which provides a quantifiable, real-time early warning criterion. This study verifies the feasibility and effectiveness of acoustic emission technology in anti-slide pile damage monitoring and landslide early warning and provides a new technical way for the precursor's identification and early warning of anti-slide pile instability.

SensorsVol. 26(1)
Ministry of Natural Resources (CN), Chang'an University (CN), China Power Engineering Consulting Group (China) (CN), Institute of Earth Environment (CN)
Openalex Percentile: Top 26%
Landslides and related hazards
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Damage Evolution Characteristics of Anti-Slide Piles in Loess Landslides and a Possible Characterization Method — Xunchang Li, Tong Zhao, et al. · Sensors (2025) | TGRS Research Map | TGRS