Data-driven and physics-informed neural network for predicting tunnelling-induced ground deformation with sparse data of field measurement

Liu, Yingbin; Liao, Shaoming; Yang, Yaowen; Zhang, Bin

doi:10.1016/j.tust.2024.105951

Tunnelling and Underground Space Technology

2024

DOI: 10.1016/j.tust.2024.105951

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Data-driven and physics-informed neural network for predicting tunnelling-induced ground deformation with sparse data of field measurement

Yingbin Liu,

Shaoming Liao,

Yaowen Yang

et al.

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Data-driven and physics-informed neural network for predicting tunnelling-induced ground deformation with sparse data of field measurement

Cited by 2 publications

References 49 publications

Data-driven deformation prediction and control for existing tunnels below shield tunneling

Data-driven deformation prediction and control for existing tunnels below shield tunneling

Physics-Informed Neural Network (PINN) model for predicting subgrade settlement induced by shield tunnelling beneath an existing railway subgrade

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