Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Predicting Maximum Surface Displacement from Mechanized Twin Tunnel Excavation in Seville Using Machine Learning and FLAC3D Simulation
https://orcid.org/0000-0002-4488-8561
https://orcid.org/0000-0002-3468-4055
https://orcid.org/0000-0002-5737-9969
https://orcid.org/0000-0002-1814-7401
https://orcid.org/0000-0002-6075-5670
Predicting Maximum Surface Displacement from Mechanized Twin Tunnel Excavation in Seville Using Machine Learning and FLAC3D Simulation
https://orcid.org/0000-0002-4488-8561
https://orcid.org/0000-0002-3468-4055
https://orcid.org/0000-0002-5737-9969
https://orcid.org/0000-0002-1814-7401
https://orcid.org/0000-0002-6075-5670
Predicting Maximum Surface Displacement from Mechanized Twin Tunnel Excavation in Seville Using Machine Learning and FLAC3D Simulation
https://orcid.org/0000-0002-4488-8561
https://orcid.org/0000-0002-3468-4055
https://orcid.org/0000-0002-5737-9969
https://orcid.org/0000-0002-1814-7401
https://orcid.org/0000-0002-6075-5670
Predicting Maximum Surface Displacement from Mechanized Twin Tunnel Excavation in Seville Using Machine Learning and FLAC3D Simulation
Geotech Geol Eng
Bahri, Maziyar (Autor:in) / Romero-Hernández, Rocío (Autor:in) / Mascort-Albea, Emilio J. (Autor:in) / Soriano-Cuesta, Cristina (Autor:in) / Jaramillo-Morilla, Antonio (Autor:in)
01.02.2025
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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