Tunnel Design Methods
Language: English
Published by CRC Press, 2023
- Hardcover
- New

Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
AbeBooks seller since March 25, 2015
Condition: New
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In English.
Seller Inventory # ria9781032358444_new
- Title
- Tunnel Design Methods
- Author
- Bobet, Antonio; Einstein, Herbert H.
- Publisher
- CRC Press
- Publication year
- 2023
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1032358440
- ISBN 13
- 9781032358444
- Item weight
- 1,530 grams
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 behavior 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 behavior.
Both authors have experience in tunnelling and have worked extensively in practice, designing tunnels both in the United States and abroad, and in research.
"Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.
Ria Christie Collections
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