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Physics-informed prediction of tunnel excavation-induced ground response in layered soils considering geostatic equilibrium

delete2026-08-04
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PRE
AI
Z
Zilong Cheng
J
Jun Shen *
X
Xiaohua Bao *
X
Xiangsheng Chen
H
Hongzhi Cui
DOI：10.1016/j.tust.2026.107988delete
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Abstract

Abstract

En 中文
• A total-stress-consistent PINN for gravity-dominated tunneling is proposed. • Multilayer domain decomposition enforces displacement and traction continuity. • The framework suppresses interfacial stress oscillations in heterogeneous ground.
Keywords:
Physics-informed neural network
Tunnel excavation
Layered soils
Machine learning

Journal

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

Organization

A
anhui university of science and technology
Scholars:
1.2K
Papers: 448
Citations: 0
S
shenzhen university
Scholars:
4.4W
Papers: 3.4W
Citations: 72
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