To address the
challenge of accurately perceiving surrounding rock parameters at the tunnel
face bored by a tunnel boring machine(TBM), a case study is conducted on a
water supply project in Northwest China, and a TBM mainframe vibration
monitoring system is established to analyze the mainframe vibration signals
under various rock conditions. The impact of TBM selfvibration
is mitigated through the smooth processing of spectral curves using the
SavitzkyGolay algorithm. The distribution patterns of
vibration peak, extreme mean value, average amplitude, and root mean square
value across different rock conditions are statistically analyzed.
Additionally, mapping relations among vibration characteristic parameters,
uniaxial compressive strength of rock mass, and rock integrity coefficients are
established using eight mathematical models. Key findings include (1) the selfvibration frequency of the TBM mainframe is approximately 40 Hz; (2)
the mean values of vibration peak, extreme mean value, average amplitude, and
root mean square value diminish as the quality of surrounding rock
deteriorates, but increase linearly with the uniaxial compressive strength and
integrity coefficient of the rock mass; (3) These relationships offer valuable
insights for developing rock sensing technologies based on mainframe vibration
characteristics.
LI Zonglin
,
LI Qinglou
,
ZHANG Lilong
,
GUO Yang
. Correlation Analysis Between Surrounding Rock
Parameters and Mainframe Vibration of an Open Tunnel Boring
Machine[J]. Tunnel Construction, 2024
, 44(5)
: 991
-999
.
DOI: 10.3973/j.issn.2096-4498.2024.05.008
