Prediction and Engineering Application of Permeability
Coefficients in&nbsp;Improved
Muck of Shield Based on Random Forest Algorithm

ZHANG Wentao; GONG Zhenyu; LING Fanlin; WANG Shuying

doi:10.3973/j.issn.2096-4498.2022.11.005

2022 , Vol. 42 >Issue 11: 1863 - 1870

DOI: https://doi.org/10.3973/j.issn.2096-4498.2022.11.005

Prediction and Engineering Application of Permeability Coefficients in Improved Muck of Shield Based on Random Forest Algorithm

ZHANG Wentao ,
GONG Zhenyu ,
LING Fanlin ,
WANG Shuying

Expand

(1.Kunming Branch of Central Yunnan Provincial Water Diversion Project Construction Administration,Kunming 650051,Yunnan, China;2.Electricity Engineering Co.,Ltd. of CREC No.5 Group,Changsha 410205,Hunan,China;3.School of Civil Engineering, Central South University,Changsha 410075,Hunan,China)

Online published: 2022-12-05

Fold

Abstract

When earth pressure balance shields tunneling in waterrich coarsegrained grounds, muck spewing often occurs due to the high permeability of the muck. As a result, a model for predicting the permeability coefficient of shield muck is proposed based on the random forest algorithm. First, conditioning parameters, such as the water content, foam injection ratio, bentonite slurry injection ratio, the effective particle size of soil, and the hydraulic gradient are collected as input paraters of the model. The results reveal that while the predicted and the measured values are in the same order of magnitude, the root mean square error is 2.4×10-9 cm/s, and the fitting determination coefficient reaches 0.981 9, indicating good prediction accuracy of the model. Then, the model was applied to the Longquan shield tunnel project in Central Yunnan, China, to determine the risk of water spewing during the shield undercrossing the Panlong river. Consequently, recommended conditioning parameters were provided, which accounted for the recorded achievements like the relativelylow permeability coefficient of improved muck, stable chamber pressure, small influence on the upper bridge structure, and safe/efficient shield tunneling.

Key words： earth pressure balance shield; soil conditioning; permeability coefficient; random forest; prediction model

Cite this article

ZHANG Wentao , GONG Zhenyu , LING Fanlin , WANG Shuying .

Prediction and Engineering Application of Permeability Coefficients in Improved Muck of Shield Based on Random Forest Algorithm

[J]. Tunnel Construction, 2022 , 42(11) : 1863 -1870 . DOI: 10.3973/j.issn.2096-4498.2022.11.005

Options

Outlines

〈

〉

模态框（Modal）标题

Abstract

Cite this article