Applications of Artificial Intelligence in Tunnelling and Underground Space Technology

— —

Danial Jahed Armaghani Aydin Azizi

Applications of Artificial Intelligence in Tunnelling and Underground Space Technology

Danial Jahed Armaghani, Aydin Azizi

$168.95 $134.76

Paperback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

Springer Verlag, Singapore
14 March 2021

Probability & statistics; Statistical physics; Earth sciences; Production engineering; Structural engineering

Series: SpringerBriefs in Applied Sciences and Technology

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.

By: Danial Jahed Armaghani, Aydin Azizi
Imprint: Springer Verlag, Singapore
Country of Publication: Singapore
Edition: 1st ed. 2021
Dimensions: Height: 235mm, Width: 155mm,
Weight: 454g
ISBN: 9789811610332
ISBN 10: 9811610339
Series: SpringerBriefs in Applied Sciences and Technology
Pages: 70
Publication Date: 14 March 2021
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Danial Jahed Armaghani: I, currently work as a senior lecturer in the Faculty of Engineering, University of Malaya, Malaysia. I received my postdoc from Amirkabir University of Technology, Tehran, Iran and my Ph.D degree, in Civil-Geotechnics, from Universiti Teknologi Malaysia, Malaysia. My area of research is tunnelling, rock mechanics, piling technology, blasting environmental issues, applying artificial intelligence and optimization algorithms in geotechnics. I have published more than 100 papers in well-established ISI and Scopus journals, national and international conferences. Dr. Aydin Azizi holds a PhD degree in Mechanical Engineering. Certified as an official instructor for the Siemens Mechatronic Certification Program (SMSCP), he currently serves as a Senior Lecturer at the Oxford Brookes University. His current research focuses on investigating and developing novel techniques to model, control and optimize complex systems. Dr. Azizi’s areas of expertise include Control & Automation, Artificial Intelligence and Simulation Techniques. Dr. Azizi is the recipient of the National Research Award of Oman for his AI-focused research, DELL EMC’s “Envision the Future” completion award in IoT for “Automated Irrigation System”, and ‘Exceptional Talent’ recognition by the British Royal Academy of Engineering.