CLC number:
On-line Access: 2024-01-15
Received: 2023-01-07
Revision Accepted: 2023-08-07
Crosschecked: 2024-01-15
Cited: 0
Clicked: 1227
Xiaowei YE, Xiaolong ZHANG, Yanbo CHEN, Yujun WEI, Yang DING. Prediction of maximum upward displacement of shield tunnel linings during construction using particle swarm optimization-random forest algorithm[J]. Journal of Zhejiang University Science A, 2024, 25(1): 1-17.
@article{title="Prediction of maximum upward displacement of shield tunnel linings during construction using particle swarm optimization-random forest algorithm",
author="Xiaowei YE, Xiaolong ZHANG, Yanbo CHEN, Yujun WEI, Yang DING",
journal="Journal of Zhejiang University Science A",
volume="25",
number="1",
pages="1-17",
year="2024",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A2300011"
}
%0 Journal Article
%T Prediction of maximum upward displacement of shield tunnel linings during construction using particle swarm optimization-random forest algorithm
%A Xiaowei YE
%A Xiaolong ZHANG
%A Yanbo CHEN
%A Yujun WEI
%A Yang DING
%J Journal of Zhejiang University SCIENCE A
%V 25
%N 1
%P 1-17
%@ 1673-565X
%D 2024
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A2300011
TY - JOUR
T1 - Prediction of maximum upward displacement of shield tunnel linings during construction using particle swarm optimization-random forest algorithm
A1 - Xiaowei YE
A1 - Xiaolong ZHANG
A1 - Yanbo CHEN
A1 - Yujun WEI
A1 - Yang DING
J0 - Journal of Zhejiang University Science A
VL - 25
IS - 1
SP - 1
EP - 17
%@ 1673-565X
Y1 - 2024
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A2300011
Abstract: During construction, the shield linings of tunnels often face the problem of local or overall upward movement after leaving the shield tail in soft soil areas or during some large diameter shield projects. Differential floating will increase the initial stress on the segments and bolts which is harmful to the service performance of the tunnel. In this study we used a random forest (RF) algorithm combined particle swarm optimization (PSO) and 5-fold cross-validation (5-fold CV) to predict the maximum upward displacement of tunnel linings induced by shield tunnel excavation. The mechanism and factors causing upward movement of the tunnel lining are comprehensively summarized. Twelve input variables were selected according to results from analysis of influencing factors. The prediction performance of two models, PSO-RF and RF (default) were compared. The Gini value was obtained to represent the relative importance of the influencing factors to the upward displacement of linings. The PSO-RF model successfully predicted the maximum upward displacement of the tunnel linings with a low error (mean absolute error (MAE)=4.04 mm, root mean square error (RMSE)=5.67 mm) and high correlation (R2=0.915). The thrust and depth of the tunnel were the most important factors in the prediction model influencing the upward displacement of the tunnel linings.
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