Evaluation of machine learning algorithms in tunnel boring machine applications: a case study in Mashhad metro line 3

Evaluation of machine learning algorithms in tunnel boring machine applications: a case study in Mashhad metro line 3

Abstract Accurately predicting the performance of Earth Pressure Balance Tunnel Boring Machines (EPB-TBMs) in soft ground conditions is crucial yet challenging due to the complex interaction of geological and operational factors. This study investigates Mashhad Metro Line 3, where a TBM was employed...

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Bibliographic Details
Main Authors: Morteza Abbasi, Amir Hossein Namadchi, Mehdi Abbasi, Mohsen Abbasi
Format: Article
Language:English
Published: SpringerOpen 2024-12-01
Series:International Journal of Geo-Engineering
Subjects:
Tunnel boring machine (TBM)
Machine learning models
Data preprocessing
Penetration rate prediction
Feature selection
Decision trees
Online Access:https://doi.org/10.1186/s40703-024-00228-y
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https://doi.org/10.1186/s40703-024-00228-y

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