Tunnel Design Methods  book cover
1st Edition

Tunnel Design Methods

  • Available for pre-order on March 30, 2023. Item will ship after April 20, 2023
ISBN 9781032358444
April 20, 2023 Forthcoming by CRC Press
552 Pages 29 Color & 363 B/W Illustrations

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Book Description

Tunnel Design Methods covers analytical, numerical and empirical methods for the design of tunnels in soil and in rock. The material is intended for design engineers looking for detailed methods, for graduate students who are interested in tunnelling, and for researchers working on various aspects of ground-support interaction under static and seismic loading.

The book is divided into seven chapters, covering fundamental concepts on ground and support behaviour and on ground-excavation-support interaction and provides detailed information on analytical and numerical methods used for the design of tunnels, with applications, and on the latest developments on empirical methods. The principles and formulations included are used, throughout the book, to provide insight into the response of tunnels under both simple and complex loading conditions, thus providing the reader with fundamental understanding of tunnel behaviour.

Both authors have experience in tunnelling and have worked extensively in practice, designing tunnels both in the US and abroad, and in research.

Table of Contents

1. Principles of Ground-Structure Interaction.  2. Empirical Methods and Classifications for Rock Tunnels.  3. Direct and Indirect Methods for Soil Tunnels – with Effects on the Surface.  4. Analytical Methods.  5. Numerical Methods.  6. Special Cases.  7. Analysis of Structural Components.

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Antonio Bobet is a professor at Purdue University, USA who has previously worked in industry and is a specialist in the seismic design of tunnels and ground-tunnel interaction.

Herbert H. Einstein is a professor at MIT, USA. He has developed the widely used Schwartz–Einstein method and the Decision Aids for Tunnelling, a computer based interactive tool, and works on the use of AI and Machine Learning in tunnelling.