Aiming at advancing the automatic detection and health
assessment technology for the tunnel lining, nonvisual highspeed
photogrammetry and microtremor measurement technology are introduced on the
basis of the nondestructive detection technology of tunnellining diseases. The nonvisual highspeed
photogrammetry technology can automatically identify and extract the lining
surface defect with a highcrack width resolution of
0.2 mm under a detection driving velocity of 100 km/h, whereas, the microtremor
measurement technology can automatically detect the inner abnormal points
(including cracks and cavities) of a tunnel lining. The measurement equipments
are characterized by miniaturization, strong antiinterference,
high resolution, and nonextra exciting power requirements. Moreover, the
fractal dimension and averaged synthetic spectrum resultant average spectrum of
a microtremor are proposed, and combining with the tunnellining crack index, the quantitative assessment of a health
condition can be provided. These three indices can comprehensively represent
the characteristics of width, length, crack direction, number, and the
distribution of cracks and inner abnormal points of a tunnel lining,
determining the damaged lining section with high accuracy.
JIANG Yujing
,
ZHANG Xuepeng
. Research on Automatic Detection and Health Assessment
of Tunnel Lining[J]. Tunnel Construction, 2021
, 41(3)
: 341
-348
.
DOI: 10.3973/j.issn.2096-4498.2021.03.001
