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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.
Afiliação
  • Zhou C; Faculty of Engineering, China University of Geosciences, Wuhan 430074, China.
  • Ying C; Faculty of Engineering, China University of Geosciences, Wuhan 430074, China.
  • Hu X; Faculty of Engineering, China University of Geosciences, Wuhan 430074, China.
  • Xu C; Faculty of Engineering, China University of Geosciences, Wuhan 430074, China.
  • Wang Q; Faculty of Engineering, China University of Geosciences, Wuhan 430074, China.
Sensors (Basel) ; 20(4)2020 Feb 20.
Article em En | MEDLINE | ID: mdl-32093335
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 (TIRm) is a useful indicator for landslide detection, and its anomalies can be selected as a precursor to landslide deformation.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China