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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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. N° de réf. du vendeur 780207703
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