Advancements in Underground Infrastructures presents the advanced modelling tools and experimental techniques applied in underground infrastructure development. It examines the usage of mathematical tools, experimental techniques, and data-driven models, as well as the latest technological advancements in underground engineering used to enhance the safety and stability of underground structures. It also addresses the application of the circular economy model in underground engineering.

Provides modelling theories in an easy-to-read format verified by on-site models for various regions and scenarios
Presents applications of soft computing tools and techniques in underground engineering
Includes practical examples and case studies

Colour versions of the figures in this book can be found at www.routledge.com/9781032373379.

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Yes, you can access Advancements in Underground Infrastructures by Manoj Khandelwal,Danial Jahed Armaghani,Ramesh Murlidhar Bhatawdekar,Pijush Samui,Saffet Yagiz in PDF and/or ePUB format. We have over one million books available in our catalogue for you to explore.

Information

Publisher

CRC Press

Year

2025

eBook ISBN

9781040251768

Edition

Topic

Technology & Engineering

Index

Technology & Engineering

Cover
Half Title
Title
Copyright
Contents
Preface
Editors’ Biographies
Contributors
Chapter 1 The Use of Robotics in Tunnel Inspection and Maintenance: A Comprehensive Review
Chapter 2 Influence of Multiple U Tube Heat Exchangers of an Energy Pile on Heat Extraction from the Ground
Chapter 3 Deep Soil Mixing (DSM) with Binders: A State-of-the-Art Method in Ground Improvement Techniques
Chapter 4 Optimization Design of a Geothermal Energy Pile for a High-Rise Building
Chapter 5 Rapid Determining Coal Heating Value Using Radial Basis Function Neural Network and Optimization Algorithms: A Case Study in an Underground Coal Mine, Vietnam
Chapter 6 Underground Mine Planning, Scheduling, and Optimization: Current Trends and Challenges
Chapter 7 Analysis and Modeling of Soil Retaining Structure for Urban Train Stations
Chapter 8 Stability Analysis of the Rock Mass Surrounding the Powerhouse Caverns
Chapter 9 Rock Slopes Stability Analysis: Investigation of Failure Mechanisms
Chapter 10 Prediction of Ultimate Bearing Capacity of Shallow Foundations Using Some Advanced Machine Learning Algorithms
Chapter 11 Ripping Rock Excavation Rate Prediction: A Comparative Study of Machine Learning Techniques
Chapter 12 Application of Special Cement in Tunnels: Performance Prediction and Multi-Objective Optimization
Chapter 13 AI-Based TBM Performance Models to Predict the Rate of Penetration: An Overview and Perspective
Chapter 14 Disc Cutter Wear Consumption Prediction Based on Rock Properties: An Overview and Perspective
Chapter 15 Feasibility of Artificial Intelligence Techniques in Rock Brittleness Assessment
Chapter 16 Autonomous Mapping and Exploration of Underground Structures
Index

About this book

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Table of contents