Optimizing tunnel boring machine penetration rate prediction using gene expression programming and whale optimization algorithms

Tunnel projects entail high levels of uncertainty due to vague geological conditions and the complexity of the mechanized tunneling process. The effectiveness of the tunnel-boring machine (TBM) is indispensable for the completion of any mechanical tunneling project. The capital costs and schedule of...

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Veröffentlicht in:	Modeling earth systems and environment Jg. 11; H. 2; S. 133
Hauptverfasser:	Jahanmiri, Shirin, Noorian-Bidgoli, Majid, Dallaki, Ali
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.04.2025 Springer Nature B.V
Schlagworte:	Algorithms Boring machines Capital costs Chemistry and Earth Sciences Computer Science Correlation coefficient Correlation coefficients Drilling Drilling & boring machinery Drilling machines (tools) Earth and Environmental Science Earth Sciences Earth System Sciences Ecosystems Environment Excavation Gene expression Geological surveys Marine mammals Math. Appl. in Environmental Science Mathematical Applications in the Physical Sciences Mathematical models Mechanical properties Optimization Original Article Parameters Physics Predictions Rock Rock masses Rocks Sediment samples Site surveys Statistical analysis Statistical models Statistics for Engineering Subways Tunnel construction Tunneling Tunnels Penetration rate Whale optimization algorithm (WOA) Tunnel boring machine (TBM) Gene expression algorithm (GEP) Artificial intelligence (AI)
ISSN:	2363-6203, 2363-6211
Online-Zugang:	Volltext
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