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Author:   Jafar Hassanpour ,  Jamal Rostami
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032204233

ISBN 10:   3032204232
Pages:   409
Publication Date:   26 May 2026
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Introduction.- Cutterhead Modeling of Hard Rock TBM.- The NTNU prediction model for hard rock tunnel boring: Performance predictions and cutter life assessments.- AR, Time, Tunnel Length and Geology Using QTBM.- University of Tehran Model, A Geological-based Model for Rock Mass Boreabil-ity Classification and TBM Performance Prediction.- The Performance of Three Hard Rock TBMs in Earthquake Zones and the Behavior of the Bored Tunnels Thereafter Feature Optimization: Identifying Critical Parameters for TBM Performance As-sessment.- Other TBM Performance Prediction Methods.- Application of Machine Learning (ML)-Based Algorithms in Hard Rock TBM Performance Analysis Using Explainable Artificial Intelligence (XAI).- Disc Cutter Wear.

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