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

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

Wang, Guankai / Shan, Yao / Detmann, Bettina / Lin, Weifan

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

Wang, Guankai / Shan, Yao / Detmann, Bettina / Lin, Weifan

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

Wang, Guankai / Shan, Yao / Detmann, Bettina / Lin, Weifan

Zugriff

Zugriff prüfen

Verfügbarkeit in meiner Bibliothek prüfen

Bestellung bei Subito €

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Titel:

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

Weitere Titelangaben:

Transportation Geotechnics

Beteiligte:

Wang, Guankai (Autor:in) / Shan, Yao (Autor:in) / Detmann, Bettina (Autor:in) / Lin, Weifan (Autor:in)

Erschienen in:

Transportation Geotechnics ; 49 ; 101409

Erscheinungsdatum:

01.11.2024

ISSN:

2214-3912

DOI:

https://doi.org/10.1016/j.trgeo.2024.101409

Medientyp:

Aufsatz (Zeitschrift)

Format:

Elektronische Ressource

Sprache:

Englisch

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