Applications of Artificial Intelligence in Tunnelling and Underground Space Technology

Aydin Azizi, Danial Jahed Armaghani

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Springer Singapore img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Bau- und Umwelttechnik

Beschreibung

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.   

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Schlagwörter

Boring machines, Optimization algorithms, Empirical models, Statistical techniques, Predictive models, Intelligent computational techniques, Tunneling