Research on fibre Bragg grating monitoring in the gravel soil landslide experiment
Fibre Bragg Grating (FBG) sensor is a new sensor with numerous advantages. How to apply in the safety monitoring of landslide engineering is still in experiment and research stage. Here, FBG is used to monitor the landslide process of the gravel soil pile. Before monitoring experiment, the article f...
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doaj-9f7900e5bbfd4e93ad0c0aa1baa1a2462021-04-02T12:26:36ZengWileyThe Journal of Engineering2051-33052019-10-0110.1049/joe.2019.0777JOE.2019.0777Research on fibre Bragg grating monitoring in the gravel soil landslide experimentLei Gao0Yuan Wang1Yangyang Sun2Qinghua Zhang3Zhenglin Zhang4Peng Zeng5College of defense engineering of Army Engineering University of PLACollege of Mechanical Engineering of Suzhou University of Science and TechnologyCollege of defense engineering of Army Engineering University of PLACollege of defense engineering of Army Engineering University of PLACollege of defense engineering of Army Engineering University of PLACollege of defense engineering of Army Engineering University of PLAFibre Bragg Grating (FBG) sensor is a new sensor with numerous advantages. How to apply in the safety monitoring of landslide engineering is still in experiment and research stage. Here, FBG is used to monitor the landslide process of the gravel soil pile. Before monitoring experiment, the article first tests FBG packaging and burying effect by two tests in lab, one is sand pile landslide test which proves vertical buried is feasible and the other is loading test on the steel bar sensor which proves the wavelength change of FBG on steel bar sensor has a good linear relationship with the loading change. Then, buried the steel bar sensor in the gravel soil slope after simple encapsulation. Stress and strain monitoring results of grating sensors are obtained in landslide which is formed through the simulation of excavation construction. The experimental data show that through correct embedding FBG sensors can effectively monitor the stress–strain change of the slope. FBG provides a new way for the landslide early warning.https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0777stress-strain relationsgeotechnical engineeringsoilcondition monitoringbragg gratingsfibre optic sensorsgeomorphologymechanical stabilityfoundationssteel bar sensorgravel soil slopestrain monitoring resultsgrating sensorscorrect embedding fbg sensorslandslide early warningfibre bragg grating monitoringgravel soil landslide experimentfibre bragg grating sensorsafety monitoringlandslide engineeringresearch stagelandslide processgravel soil piletests fbg packagingburying effectsand pile landslide testloading change |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lei Gao Yuan Wang Yangyang Sun Qinghua Zhang Zhenglin Zhang Peng Zeng |
spellingShingle |
Lei Gao Yuan Wang Yangyang Sun Qinghua Zhang Zhenglin Zhang Peng Zeng Research on fibre Bragg grating monitoring in the gravel soil landslide experiment The Journal of Engineering stress-strain relations geotechnical engineering soil condition monitoring bragg gratings fibre optic sensors geomorphology mechanical stability foundations steel bar sensor gravel soil slope strain monitoring results grating sensors correct embedding fbg sensors landslide early warning fibre bragg grating monitoring gravel soil landslide experiment fibre bragg grating sensor safety monitoring landslide engineering research stage landslide process gravel soil pile tests fbg packaging burying effect sand pile landslide test loading change |
author_facet |
Lei Gao Yuan Wang Yangyang Sun Qinghua Zhang Zhenglin Zhang Peng Zeng |
author_sort |
Lei Gao |
title |
Research on fibre Bragg grating monitoring in the gravel soil landslide experiment |
title_short |
Research on fibre Bragg grating monitoring in the gravel soil landslide experiment |
title_full |
Research on fibre Bragg grating monitoring in the gravel soil landslide experiment |
title_fullStr |
Research on fibre Bragg grating monitoring in the gravel soil landslide experiment |
title_full_unstemmed |
Research on fibre Bragg grating monitoring in the gravel soil landslide experiment |
title_sort |
research on fibre bragg grating monitoring in the gravel soil landslide experiment |
publisher |
Wiley |
series |
The Journal of Engineering |
issn |
2051-3305 |
publishDate |
2019-10-01 |
description |
Fibre Bragg Grating (FBG) sensor is a new sensor with numerous advantages. How to apply in the safety monitoring of landslide engineering is still in experiment and research stage. Here, FBG is used to monitor the landslide process of the gravel soil pile. Before monitoring experiment, the article first tests FBG packaging and burying effect by two tests in lab, one is sand pile landslide test which proves vertical buried is feasible and the other is loading test on the steel bar sensor which proves the wavelength change of FBG on steel bar sensor has a good linear relationship with the loading change. Then, buried the steel bar sensor in the gravel soil slope after simple encapsulation. Stress and strain monitoring results of grating sensors are obtained in landslide which is formed through the simulation of excavation construction. The experimental data show that through correct embedding FBG sensors can effectively monitor the stress–strain change of the slope. FBG provides a new way for the landslide early warning. |
topic |
stress-strain relations geotechnical engineering soil condition monitoring bragg gratings fibre optic sensors geomorphology mechanical stability foundations steel bar sensor gravel soil slope strain monitoring results grating sensors correct embedding fbg sensors landslide early warning fibre bragg grating monitoring gravel soil landslide experiment fibre bragg grating sensor safety monitoring landslide engineering research stage landslide process gravel soil pile tests fbg packaging burying effect sand pile landslide test loading change |
url |
https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0777 |
work_keys_str_mv |
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1721568890004176896 |