Multivariate Information Dynamic Monitoring System Application of Tunnel Construction Process Model Test
Geomechnical model testing has been widely applied as a kind of research technique in underground engineering problems. However, during the practical application process, due to the influence of many factors, the desired results cannot be obtained. In order to solve this problem, based on the measur...
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doaj-9cd1b9901bc042c0a64693f736df38842020-11-25T01:32:37ZengSciendoArchives of Civil Engineering1230-29452016-09-0162311713610.1515/ace-2015-0087ace-2015-0087Multivariate Information Dynamic Monitoring System Application of Tunnel Construction Process Model TestLiu Q.0Chen J.1Wei L.2Huang P.3Luo Y.4Pu X.5Lecture, School of Civil Engineering, Chang’an University, Xi’an, Shanxi 710061,ChinaSchool of Highway, Chang’an University, Xi’an, 710064,ChinaPost-Graduate, School of Civil Engineering, Chang’an University, Xi’an, Shanxi 710061,ChinaLecture, School of Civil Engineering, Chang’an University, Xi’an, Shanxi 710061,ChinaSchool of Highway, Chang’an University, Xi’an, 710064,ChinaPost-Graduate, School of Highway, Chang’an University, Xi’an, 710064,ChinaGeomechnical model testing has been widely applied as a kind of research technique in underground engineering problems. However, during the practical application process, due to the influence of many factors, the desired results cannot be obtained. In order to solve this problem, based on the measurement requirements of the model test, combined with FBG(Fiber Bragg Grating) sensor technology and traditional measurement methods, an FBG monitoring system, Micro-multi-point displacement test system, resistance strain test system and surrounding rock pressure monitoring system are developed. Applying the systems to a model test of the tunnel construction process, the displacement in advance laws of tunnel face, radial displacement distribution laws and surrounding rock pressure laws are obtained. Test results show that a multivariate information monitoring system has the advantage of high precision, stability and strong anti-jamming capability. It lays a solid foundation for the real-time data monitoring of the tunnel construction process model test.http://www.degruyter.com/view/j/ace.2016.62.issue-3/ace-2015-0087/ace-2015-0087.xml?format=INTtunnel engineeringmodel testmultivariate informationdynamic monitoring |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Liu Q. Chen J. Wei L. Huang P. Luo Y. Pu X. |
spellingShingle |
Liu Q. Chen J. Wei L. Huang P. Luo Y. Pu X. Multivariate Information Dynamic Monitoring System Application of Tunnel Construction Process Model Test Archives of Civil Engineering tunnel engineering model test multivariate information dynamic monitoring |
author_facet |
Liu Q. Chen J. Wei L. Huang P. Luo Y. Pu X. |
author_sort |
Liu Q. |
title |
Multivariate Information Dynamic Monitoring System Application of Tunnel Construction Process Model Test |
title_short |
Multivariate Information Dynamic Monitoring System Application of Tunnel Construction Process Model Test |
title_full |
Multivariate Information Dynamic Monitoring System Application of Tunnel Construction Process Model Test |
title_fullStr |
Multivariate Information Dynamic Monitoring System Application of Tunnel Construction Process Model Test |
title_full_unstemmed |
Multivariate Information Dynamic Monitoring System Application of Tunnel Construction Process Model Test |
title_sort |
multivariate information dynamic monitoring system application of tunnel construction process model test |
publisher |
Sciendo |
series |
Archives of Civil Engineering |
issn |
1230-2945 |
publishDate |
2016-09-01 |
description |
Geomechnical model testing has been widely applied as a kind of research technique in underground engineering problems. However, during the practical application process, due to the influence of many factors, the desired results cannot be obtained. In order to solve this problem, based on the measurement requirements of the model test, combined with FBG(Fiber Bragg Grating) sensor technology and traditional measurement methods, an FBG monitoring system, Micro-multi-point displacement test system, resistance strain test system and surrounding rock pressure monitoring system are developed. Applying the systems to a model test of the tunnel construction process, the displacement in advance laws of tunnel face, radial displacement distribution laws and surrounding rock pressure laws are obtained. Test results show that a multivariate information monitoring system has the advantage of high precision, stability and strong anti-jamming capability. It lays a solid foundation for the real-time data monitoring of the tunnel construction process model test. |
topic |
tunnel engineering model test multivariate information dynamic monitoring |
url |
http://www.degruyter.com/view/j/ace.2016.62.issue-3/ace-2015-0087/ace-2015-0087.xml?format=INT |
work_keys_str_mv |
AT liuq multivariateinformationdynamicmonitoringsystemapplicationoftunnelconstructionprocessmodeltest AT chenj multivariateinformationdynamicmonitoringsystemapplicationoftunnelconstructionprocessmodeltest AT weil multivariateinformationdynamicmonitoringsystemapplicationoftunnelconstructionprocessmodeltest AT huangp multivariateinformationdynamicmonitoringsystemapplicationoftunnelconstructionprocessmodeltest AT luoy multivariateinformationdynamicmonitoringsystemapplicationoftunnelconstructionprocessmodeltest AT pux multivariateinformationdynamicmonitoringsystemapplicationoftunnelconstructionprocessmodeltest |
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