AI-Enhanced Safety Evaluation for Tunnelling in Rock
eBook - ePub

AI-Enhanced Safety Evaluation for Tunnelling in Rock

Principles, Methods and Algorithms

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

AI-Enhanced Safety Evaluation for Tunnelling in Rock

Principles, Methods and Algorithms

About this book

Artificial intelligence (AI) techniques for rock tunnel construction offer innovative solutions for assessing rock mass quality and ensuring excavation safety in challenging geological conditions. Both cutting-edge contact methods and noncontact methods such as digital photography can provide continuous geological data during excavation. Then, advanced deep learning algorithms for precise characterization of rock face features, along with pioneering multisource 3D data fusion modelling, can enable refined rock mass classification and sophisticated safety evaluation techniques tailored to complex geological environments.

By integrating machine vision and intelligent algorithms with rigorous statistical analysis and machine learning models, this book provides practical and refined solutions for the construction industry. It offers improved safety, efficiency, and reliability for tunnel projects and serves as a valuable reference for graduate students and academics.

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Yes, you can access AI-Enhanced Safety Evaluation for Tunnelling in Rock by Jiayao Chen,Hongwei Huang,Mingliang Zhou in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Construction & Architectural Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Series
  4. Title
  5. Copyright
  6. Contents
  7. Preface
  8. About the Authors
  9. Acknowledgments
  10. Statement on Availability of Data and/or Software
  11. Chapter 1 Introduction
  12. Chapter 2 Investigation of Rock Mass Data Acquisition and Surrounding Rock Classification Methods Using Digital Photography
  13. Chapter 3 Automated Classification of Tunnel Face Apparent Structures
  14. Chapter 4 Extraction and Quantitative Characterization of Weak Interlayer Information in Tunnel Work Face
  15. Chapter 5 Quantitative Characterization of Groundwater Distribution in Tunnel Faces
  16. Chapter 6 Quantitative Extraction and Statistical Analysis of Joint Fracture Information in Tunnel Face
  17. Chapter 7 Study on the Three-Dimensional Discontinuity Surfaces and Trace Characterization of Tunnel Faces
  18. Chapter 8 Intelligent Grading of Surrounding Rock Based on Multisource Heterogeneous Data Fusion
  19. Chapter 9 Safety Evaluation of Tunnel Excavation Based on Machine Vision and 3DEC Simulation
  20. Chapter 10 Conclusions and Future Outlook
  21. Index