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

2026-08-04

PRE

Zilong Cheng

Jun Shen *

Xiaohua Bao *

Xiangsheng Chen

Hongzhi Cui

DOI：10.1016/j.tust.2026.107988

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• 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

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

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