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SpringerBriefs in Applied Sciences and Technology

SpringerBriefs in Applied Sciences and Technology

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SpringerBriefs in Applied Sciences and Technology

Jahed Armaghani, Danial; Azizi, Aydin

This book covers the tunnel boring machine (TBM) performance classifications, empirical models, statistical and intelligent-based techniques which have been applied and introduced by the researchers in this field. In addition, a critical review of the available TBM performance predictive models will be discussed in details. Then, this book introduces several predictive models i.e., statistical and intelligent techniques which are applicable, powerful and easy to implement, in estimating TBM performance parameters. The introduced models are accurate enough and they can be used for prediction of TBM performance in practice before designing TBMs.   

Details

Published by: Springer

Publication Date: 2021-03-14

Format: Paperback

ISBN-13: 9789811610332

DOI: 10.1007/978-981-16-1034-9

Dimensions: 235cm x155cm

Pages: 70

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