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...
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MDPI AG
2020-02-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/4/1170 |
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| author | Chang Zhou Chunye Ying Xinli Hu Chu Xu Qiang Wang |
| author_facet | Chang Zhou Chunye Ying Xinli Hu Chu Xu Qiang Wang |
| author_sort | Chang Zhou |
| collection | DOAJ |
| 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 (<inline-formula> <math display="inline"> <semantics> <mrow> <mi>T</mi> <mi>I</mi> <msub> <mi>R</mi> <mi>m</mi> </msub> </mrow> </semantics> </math> </inline-formula>) is a useful indicator for landslide detection, and its anomalies can be selected as a precursor to landslide deformation. |
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| id | doaj.art-760be15e5d4b410cae0a9e2511875094 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T07:01:01Z |
| publishDate | 2020-02-01 |
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| spelling | doaj.art-760be15e5d4b410cae0a9e25118750942022-12-22T02:57:06ZengMDPI AGSensors1424-82202020-02-01204117010.3390/s20041170s20041170Thermal Infrared Imagery Integrated with Multi-Field Information for Characterization of Pile-Reinforced Landslide DeformationChang Zhou0Chunye Ying1Xinli Hu2Chu Xu3Qiang Wang4Faculty of Engineering, China University of Geosciences, Wuhan 430074, ChinaFaculty of Engineering, China University of Geosciences, Wuhan 430074, ChinaFaculty of Engineering, China University of Geosciences, Wuhan 430074, ChinaFaculty of Engineering, China University of Geosciences, Wuhan 430074, ChinaFaculty of Engineering, China University of Geosciences, Wuhan 430074, ChinaPhysical 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 (<inline-formula> <math display="inline"> <semantics> <mrow> <mi>T</mi> <mi>I</mi> <msub> <mi>R</mi> <mi>m</mi> </msub> </mrow> </semantics> </math> </inline-formula>) is a useful indicator for landslide detection, and its anomalies can be selected as a precursor to landslide deformation.https://www.mdpi.com/1424-8220/20/4/1170landslide stabilizing pilesmodel testthermal infrared imagerydeformation processmulti-filed information |
| spellingShingle | Chang Zhou Chunye Ying Xinli Hu Chu Xu Qiang Wang Thermal Infrared Imagery Integrated with Multi-Field Information for Characterization of Pile-Reinforced Landslide Deformation Sensors landslide stabilizing piles model test thermal infrared imagery deformation process multi-filed information |
| 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 | landslide stabilizing piles model test thermal infrared imagery deformation process multi-filed information |
| url | https://www.mdpi.com/1424-8220/20/4/1170 |
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