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Correlation between Acoustic Emission Behaviour and Dynamics Model during Three-Stage Deformation Process of Soil Landslide
Acoustic emission (AE) monitoring has become an optional technology to quantify slope deformation. However, there are still challenges in developing generic AE interpretation strategies. Dynamics and kinematics models are two physical methods for analysing slope stability, which appear to improve th...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8037574/ https://www.ncbi.nlm.nih.gov/pubmed/33805537 http://dx.doi.org/10.3390/s21072373 |
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author | Deng, Lizheng Yuan, Hongyong Chen, Jianguo Sun, Zhanhui Fu, Ming Wang, Fei Yan, Shuan Li, Kaiyuan Yu, Miaomiao Chen, Tao |
author_facet | Deng, Lizheng Yuan, Hongyong Chen, Jianguo Sun, Zhanhui Fu, Ming Wang, Fei Yan, Shuan Li, Kaiyuan Yu, Miaomiao Chen, Tao |
author_sort | Deng, Lizheng |
collection | PubMed |
description | Acoustic emission (AE) monitoring has become an optional technology to quantify slope deformation. However, there are still challenges in developing generic AE interpretation strategies. Dynamics and kinematics models are two physical methods for analysing slope stability, which appear to improve the interpretability of AE monitoring data. The aim of this study is to explore the change patterns and interrelations of dynamics, kinematics, and AE measurements using a model test and physical analysis, to further understand the development process of a progressive landslide. A model test is designed based on the kinematics model of landslide three-stage deformation. An equation between factor of safety (FoS) and thrust is proposed based on the mechanical model of a landslide test. There is a clear correspondence between the displacement and inverse velocity during the deformation-controlled process. Relationships are uncovered between the thrust and FoS as well as the thrust and acceleration. As a characteristic parameter of AE, ring down count (RDC) is able to quantify the deformation process of the soil slope. Moreover, acceleration and RDC can reflect the sudden change of the slope state and, hence, can be effective indicators for the early warning in a progressive landslide. |
format | Online Article Text |
id | pubmed-8037574 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-80375742021-04-12 Correlation between Acoustic Emission Behaviour and Dynamics Model during Three-Stage Deformation Process of Soil Landslide Deng, Lizheng Yuan, Hongyong Chen, Jianguo Sun, Zhanhui Fu, Ming Wang, Fei Yan, Shuan Li, Kaiyuan Yu, Miaomiao Chen, Tao Sensors (Basel) Article Acoustic emission (AE) monitoring has become an optional technology to quantify slope deformation. However, there are still challenges in developing generic AE interpretation strategies. Dynamics and kinematics models are two physical methods for analysing slope stability, which appear to improve the interpretability of AE monitoring data. The aim of this study is to explore the change patterns and interrelations of dynamics, kinematics, and AE measurements using a model test and physical analysis, to further understand the development process of a progressive landslide. A model test is designed based on the kinematics model of landslide three-stage deformation. An equation between factor of safety (FoS) and thrust is proposed based on the mechanical model of a landslide test. There is a clear correspondence between the displacement and inverse velocity during the deformation-controlled process. Relationships are uncovered between the thrust and FoS as well as the thrust and acceleration. As a characteristic parameter of AE, ring down count (RDC) is able to quantify the deformation process of the soil slope. Moreover, acceleration and RDC can reflect the sudden change of the slope state and, hence, can be effective indicators for the early warning in a progressive landslide. MDPI 2021-03-29 /pmc/articles/PMC8037574/ /pubmed/33805537 http://dx.doi.org/10.3390/s21072373 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ). |
spellingShingle | Article Deng, Lizheng Yuan, Hongyong Chen, Jianguo Sun, Zhanhui Fu, Ming Wang, Fei Yan, Shuan Li, Kaiyuan Yu, Miaomiao Chen, Tao Correlation between Acoustic Emission Behaviour and Dynamics Model during Three-Stage Deformation Process of Soil Landslide |
title | Correlation between Acoustic Emission Behaviour and Dynamics Model during Three-Stage Deformation Process of Soil Landslide |
title_full | Correlation between Acoustic Emission Behaviour and Dynamics Model during Three-Stage Deformation Process of Soil Landslide |
title_fullStr | Correlation between Acoustic Emission Behaviour and Dynamics Model during Three-Stage Deformation Process of Soil Landslide |
title_full_unstemmed | Correlation between Acoustic Emission Behaviour and Dynamics Model during Three-Stage Deformation Process of Soil Landslide |
title_short | Correlation between Acoustic Emission Behaviour and Dynamics Model during Three-Stage Deformation Process of Soil Landslide |
title_sort | correlation between acoustic emission behaviour and dynamics model during three-stage deformation process of soil landslide |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8037574/ https://www.ncbi.nlm.nih.gov/pubmed/33805537 http://dx.doi.org/10.3390/s21072373 |
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