Modeling of Tunnel Boring Machine Performance Employing Random Forest Algorithm

Prediction of tunnel boring machine (TBM) performance is still a challenging research subject in engineering geology, geotechnical engineering, and tunnel engineering communities. The longest railway tunnel with approximately 10 km, the Bahce-Nurdagi tunnel, was projected as twin tubes and TBM excav...

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Veröffentlicht in:	Geotechnical and geological engineering Jg. 41; H. 7; S. 4205 - 4231
Hauptverfasser:	Gokceoglu, C., Bal, C., Aladag, C. H.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.09.2023 Springer Nature B.V
Schlagworte:	Algorithms Boring machines Civil Engineering Drilling & boring machinery Earth and Environmental Science Earth Sciences Engineering geology Excavation Geology Geotechnical engineering Geotechnical Engineering & Applied Earth Sciences Hydrogeology Mathematical models Modelling Original Paper Parameters Prediction models Railway tunnels Terrestrial Pollution Tubes Tunnel construction Tunnels Waste Management/Waste Technology Random forest Tunnel Rate of penetration TBM Geological and geotechnical parameters
ISSN:	0960-3182, 1573-1529
Online-Zugang:	Volltext
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