Accurate
division of cantilever machine has important significance to its widely use in
the construction of surrounding rock. The traditional construction of
surrounding rock classification is mostly based on the stability of surrounding
rock. The complexity, dynamic and nonlinear characteristics of cantilever
construction of the machine make it not applicable to traditional surrounding
rock classification.Hence, a set of cantilever machine construction surrounding
rock classification method based on driving performance is established. First,
taking Guiyang metro line 1 as the engineering background, the time attenuation
law of forward velocity and the main geological factors affecting the
utilization rate of cantilever roadheader are analyzed respectively, and the
stratum adaptability grading and scoring method is established. Second, on the
basis of the existing Q classification system, the BQm model of surrounding rock adaptability classification of cantilever
roadheading machine is proposed. Drilling index RPI and tool life index CLI are
adopted to modify the model, and the grading and scoring method of construction
tunneling ability is established. Finally, comprehensively considering the
grading method of stratum adaptability of surrounding rock and the grading
method of tunneling ability, and taking the advance speed AR as the index, the
construction surrounding rock classification method based on tunneling
performance of cantilever roadheader is established. The results show that the
method established can realize the prediction of construction speed AR, so as
to effectively predict the tunneling performance, save the cost of tunnel
excavation, improve the construction efficiency, and provide scientific
reference for the establishment of cantilever tunneling machine construction
surrounding rock classification method with general applicability.
WANG Xiang, ZHAO Yirui, SONG Zhanping, ZHAO Keming, SU Wanying
. A Method of Surrounding Rock Classification for
Construction of Cantilever Roadheader Based on Tunneling
Performance[J]. Tunnel Construction, 2022
, 42(S1)
: 197
-204
.
DOI: 10.3973/j.issn.2096-4498.2022.S1.023