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Performance of Tunnel Boring Machines (TBM) in Rock.
- Format:
- Book
- Author/Creator:
- Hassanpour, Jafar.
- Series:
- Springer Series in Geomechanics and Geoengineering Series
- Language:
- English
- Physical Description:
- 1 online resource (448 pages)
- Edition:
- 1st ed.
- Place of Publication:
- Cham : Springer, 2026.
- Summary:
- This book presents the latest advancements in predicting Tunnel Boring Machine (TBM) performance in hard rock, a critical aspect of mechanized tunneling.Featuring contributions from renowned international experts, the book systematically covers key topics across ten chapters.
- Contents:
- Springer Series in Geomechanics and Geoengineering
- Performance of Tunnel Boring Machines (TBM) in Rock
- Preface
- About This Book
- Contents
- Editors and Contributors
- 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 Boreability 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 Assessment
- 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
- Index.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 9783032204240
- OCLC:
- 1599111706
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