DocumentCode :
2451687
Title :
A fuzzy comprehensive evaluation system of mountain tunnel lining based on the fast nondestructive inspection
Author :
Wang, Jifei ; Xie, Xiongyao ; Huang, Hongwei
Author_Institution :
Dept. of Geotechnical Eng., Tongji Univ., Shanghai, China
fYear :
2011
fDate :
24-26 June 2011
Firstpage :
2832
Lastpage :
2834
Abstract :
During the operation of the tunnels, the lining may get `sick´, such as the water leakage, cracks, spalling and voids behind the lining, all of these will heavily affect the tunnel´s safety, to protect the tunnel users and owners, the lining has to be inspected regularly, Generally, the tunnel is inspected manually, which is very slow and inefficient, and some defects even can not be found out, such as the voids behind the lining. Many devices have been developed to detect these defects recently, such as GPR (ground penetrating radar), infrared camera, digital camera, etc. But these devices are often used respectively, so the overall health condition of the tunnel lining usually can not be obtained at one time, if the information of all kinds of defects can be obtained, a fuzzy comprehensive evaluation can be performed based on these information, with the results of the evaluation, a reasonable maintenance measure can be taken, which can ensure the safety of the people and the tunnel.
Keywords :
condition monitoring; geotechnical engineering; inspection; maintenance engineering; nondestructive testing; tunnels; GPR; digital camera; fast nondestructive inspection; fuzzy comprehensive evaluation system; ground penetrating radar; health condition; infrared camera; maintenance measure; mountain tunnel lining; tunnel safety; Aggregates; Cameras; Ground penetrating radar; Inspection; Radar antennas; Radar imaging; Safety; defect; fuzzy comprehensive evaluation; inspect; tunnel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9172-8
Type :
conf
DOI :
10.1109/RSETE.2011.5964904
Filename :
5964904
Link To Document :
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