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Improved surface settlement prediction for double-line shield tunnelling using snake optimization algorithm

delete2025-11-04
delete0
PRE
AI
G
Gang Wang
陈超 (Chao Chen)
H
Huapei Yuan
C
Chaofan Yao *
J
Jenisha Singh *
DOI:10.1016/j.tust.2025.107217delete
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Abstract

Abstract

En 中文
• Offers scalable framework for settlement prediction in urban infrastructure projects. • Snake Optimization significantly improves accuracy of model parameter calibration. • The model outperformed FEM simulation with 3 × higher accuracy in peak settlement. • Strong adaptability of the model across soft clay and compound strata.
Keywords:
Double-line shield tunnelling
Numerical simulation
Surface settlement
Snake optimization algorithm

Journal

Tunnelling and Underground Space Technology cover
Tunnelling and Underground Space Technology
IF:
7.4
Papers:
6.8K
Citations:
3.5W

Organization

H
Hunan University of Technology and Business
Scholars:
419
Papers: 268
Citations: 286
N
New York University Abu Dhabi
Scholars:
2.0K
Papers: 1.5K
Citations: 3.3K