An intelligent model that
considers lithology in classifying surrounding rock is established based on
drilling parameters so as to further improve the accuracy of predicting the
surrounding rock. First, the drilling parameters collected by a drilling trolley
in the Yichang-Xingshan and Zhengzhou-Wanzhou high-speed railway tunnels are
divided into the five data subsets of dolomite, granodiorite, limestone,
sandstone, and shale. Next, data cleaning and feature extraction are conducted,
and each data subset and original data set are divided into a training set and
test set in a 4∶1 ratio. Furthermore, the extracted
features and the original features are used as inputs to establish five
intelligent classification models for surrounding rock based on drilling
parameters and lithology and an intelligent classification model for surrounding
rock based on drilling parameters using a machine learning random forest
algorithm. Finally, the generalization performance of each model is evaluated.
The results demonstrate the following. (1) The models that are based on
dolomite, granodiorite, limestone, sandstone, and shale achieve an accuracy on
the test set of 85.48%, 92.16%, 88.62%, 85.00%, and 89.47%, respectively, and
the accuracy of the model that does not consider lithology is 84.91%. (2)
Compared with the improvement in the model that considers lithology, the
improvement in the accuracy on the test set of the surrounding rock intelligent
classification model based on drilling parameters and lithology is 0.09%－7.25%, and the improvement in model accuracy is 1.61%－13.82% compared with no feature extraction. This shows that
extracting the features of the drilling parameters effectively improves the
accuracy of the model. The intelligent model that considers lithology in
surrounding rock classification is more stable and achieves better
generalization performance than the model that does not consider lithology.
XIA Qinyong
,
WANG Mingnian
,
SUN Hongqiang
,
LIN Peng
,
ZHAO Siguang
. Intelligent Classification
for Surrounding Rock of Tunnel by Drilling and Blasting Method Based on Drilling Parameters and Lithology[J]. Tunnel Construction, 2024
, 44(7)
: 1410
-1421
.
DOI: 10.3973/j.issn.2096-4498.2024.07.008
