Risk prediction and diagnosis of water seepage in operational shield tunnels based on random forest

• Main Authors: Liu, Yang, Chen, Hongyu, Zhang, Limao, Wang, Xianjia
• Other Authors: School of Civil and Environmental Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Civil engineering; Operational Tunnels; Water Seepage
• Online Access: https://hdl.handle.net/10356/153884
• Institution: Nanyang Technological University

Water seepage (WS) is a paramount defect during tunnel operation and directly affects the operational safety of tunnels. Effectively predicting and diagnosing WS are problems that urgently need to be solved. This paper presents a standard and an evaluation index system for WS grades and constructs a...