Experimental study on displacement monitoring of instable highway slope based on MEMS sensors

Introduction The monitoring of soil displacement during highway slope instability currently faces challenges such as poor stability, low accuracy, and high costs. In this study, a Micro-Electro-Mechanical System (MEMS) sensor is proposed for measuring internal soil displacement during slope movement. A method for converting MEMS-based acceleration signals into displacement data is also developed. Methods To evaluate the applicability of MEMS technology for deep displacement monitoring, an indoor model test was conducted using a highway slope composed of gravelly soil from Jiangxi Province as a case study. Three slope models with varying gravel contents (20%, 40%, and 60%) were designed to simulate displacement caused by slope instability. Displacement data obtained from the MEMS sensors were analyzed and compared with Particle Image Velocimetry (PIV) data. Results and Discussion The results showed that the average relative errors of vertical displacement for the MEMS sensor compared to PIV at three measurement points in the sliding area were 5.79%, 5.54%, and 5.89% for slopes with 20%, 40%, and 60% gravel content, respectively. Similarly, the average relative errors of horizontal displacement were 6.11%, 5.21%, and 4.73%. These findings indicate that the trends in soil movement within the sliding area correspond to changes in gravel content. Furthermore, the relatively small average relative errors of the MEMS sensor demonstrate its feasibility and potential for deep soil displacement monitoring in slope stability studies.

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Publication Details

Journal
Frontiers in Earth Science
Published
2025-03-17
DOI
https://doi.org/10.3389/feart.2025.1541217
Citations
1
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
2.42
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article

Experimental study on displacement monitoring of instable highway slope based on MEMS sensors

Dan Li, Qiang Pei, Yanxin Yang, Yi Yang et al.
1 citations
Frontiers in Earth Science
Landslides and related hazards
2.42
article

Experimental study on displacement monitoring of instable highway slope based on MEMS sensors

Dan Li, Qiang Pei, Yanxin Yang, Yi Yang, Di Wu, Jianjian Wu, Taiming Liang
article en
1 citations

Abstract

Introduction The monitoring of soil displacement during highway slope instability currently faces challenges such as poor stability, low accuracy, and high costs. In this study, a Micro-Electro-Mechanical System (MEMS) sensor is proposed for measuring internal soil displacement during slope movement. A method for converting MEMS-based acceleration signals into displacement data is also developed. Methods To evaluate the applicability of MEMS technology for deep displacement monitoring, an indoor model test was conducted using a highway slope composed of gravelly soil from Jiangxi Province as a case study. Three slope models with varying gravel contents (20%, 40%, and 60%) were designed to simulate displacement caused by slope instability. Displacement data obtained from the MEMS sensors were analyzed and compared with Particle Image Velocimetry (PIV) data. Results and Discussion The results showed that the average relative errors of vertical displacement for the MEMS sensor compared to PIV at three measurement points in the sliding area were 5.79%, 5.54%, and 5.89% for slopes with 20%, 40%, and 60% gravel content, respectively. Similarly, the average relative errors of horizontal displacement were 6.11%, 5.21%, and 4.73%. These findings indicate that the trends in soil movement within the sliding area correspond to changes in gravel content. Furthermore, the relatively small average relative errors of the MEMS sensor demonstrate its feasibility and potential for deep soil displacement monitoring in slope stability studies.

Frontiers in Earth ScienceVol. 13
Guizhou Electric Power Design and Research Institute (CN), Guilin University of Electronic Technology (CN), Sichuan University of Science and Engineering (CN)
Openalex Percentile: Top 13%
Landslides and related hazards
2.42
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