Predicting Model of Dual-Mode Shield Tunneling Parameters in Complex Ground Using Recurrent Neural Networks and Multiple Optimization Algorithms

Predicting Model of Dual-Mode Shield Tunneling Parameters in Complex Ground Using Recurrent Neural Networks and Multiple Optimization Algorithms

Based on the left tunnel of the Liuxiandong Station to Baimang Station section of Shenzhen Metro Line 13 (China), a prediction model for the advanced rate of dual-mode shield tunneling in complex strata was established to explore intelligent tunneling technology in complex ground. Firstly, geologica...

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Bibliographic Details
Main Authors: Taihua Yang, Tian Wen, Xing Huang, Bin Liu, Hongbing Shi, Shaoran Liu, Xiaoxiang Peng, Guangzu Sheng
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Applied Sciences
Subjects:
shield tunneling
complex strata
EPB/TBM dual-mode shield tunneling
tunneling parameter prediction
recurrent neural network
Online Access:https://www.mdpi.com/2076-3417/14/2/581

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