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Thermal Infrared Imagery Integrated with Multi-Field Information for Characterization of Pile-Reinforced Landslide Deformation
Physical model testing can replicate the deformation process of landslide stabilizing piles and analyze the pile-landslide interaction with multiple field information, thoroughly demonstrating its deformation and failure mechanism. In this paper, an integrated monitoring system was introduced. The i...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070546/ https://www.ncbi.nlm.nih.gov/pubmed/32093335 http://dx.doi.org/10.3390/s20041170 |
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author | Zhou, Chang Ying, Chunye Hu, Xinli Xu, Chu Wang, Qiang |
author_facet | Zhou, Chang Ying, Chunye Hu, Xinli Xu, Chu Wang, Qiang |
author_sort | Zhou, Chang |
collection | PubMed |
description | Physical model testing can replicate the deformation process of landslide stabilizing piles and analyze the pile-landslide interaction with multiple field information, thoroughly demonstrating its deformation and failure mechanism. In this paper, an integrated monitoring system was introduced. The instrumentation used included soil pressure cells, thermal infrared (TIR) imagery, 3D laser scanner, and digital photography. In order to precisely perform field information analysis, an index was proposed to analyze thermal infrared temperature captured by infrared thermography; the qualitative relationship among stress state and deformation as well as thermal infrared temperature is analyzed. The results indicate that the integrated monitoring system is expected to be useful for characterizing the deformation process of a pile-reinforced landslide. Difference value of TIR temperature ([Formula: see text]) is a useful indicator for landslide detection, and its anomalies can be selected as a precursor to landslide deformation. |
format | Online Article Text |
id | pubmed-7070546 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-70705462020-03-19 Thermal Infrared Imagery Integrated with Multi-Field Information for Characterization of Pile-Reinforced Landslide Deformation Zhou, Chang Ying, Chunye Hu, Xinli Xu, Chu Wang, Qiang Sensors (Basel) Article Physical model testing can replicate the deformation process of landslide stabilizing piles and analyze the pile-landslide interaction with multiple field information, thoroughly demonstrating its deformation and failure mechanism. In this paper, an integrated monitoring system was introduced. The instrumentation used included soil pressure cells, thermal infrared (TIR) imagery, 3D laser scanner, and digital photography. In order to precisely perform field information analysis, an index was proposed to analyze thermal infrared temperature captured by infrared thermography; the qualitative relationship among stress state and deformation as well as thermal infrared temperature is analyzed. The results indicate that the integrated monitoring system is expected to be useful for characterizing the deformation process of a pile-reinforced landslide. Difference value of TIR temperature ([Formula: see text]) is a useful indicator for landslide detection, and its anomalies can be selected as a precursor to landslide deformation. MDPI 2020-02-20 /pmc/articles/PMC7070546/ /pubmed/32093335 http://dx.doi.org/10.3390/s20041170 Text en © 2020 by the authors. 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/). |
spellingShingle | Article Zhou, Chang Ying, Chunye Hu, Xinli Xu, Chu Wang, Qiang Thermal Infrared Imagery Integrated with Multi-Field Information for Characterization of Pile-Reinforced Landslide Deformation |
title | Thermal Infrared Imagery Integrated with Multi-Field Information for Characterization of Pile-Reinforced Landslide Deformation |
title_full | Thermal Infrared Imagery Integrated with Multi-Field Information for Characterization of Pile-Reinforced Landslide Deformation |
title_fullStr | Thermal Infrared Imagery Integrated with Multi-Field Information for Characterization of Pile-Reinforced Landslide Deformation |
title_full_unstemmed | Thermal Infrared Imagery Integrated with Multi-Field Information for Characterization of Pile-Reinforced Landslide Deformation |
title_short | Thermal Infrared Imagery Integrated with Multi-Field Information for Characterization of Pile-Reinforced Landslide Deformation |
title_sort | thermal infrared imagery integrated with multi-field information for characterization of pile-reinforced landslide deformation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070546/ https://www.ncbi.nlm.nih.gov/pubmed/32093335 http://dx.doi.org/10.3390/s20041170 |
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