0

DE
EN
FR
International Database and Gallery of Structures

Advertisement

Tunnelling and Underground Space Technology - v. 21, n. 2 (March 2006)

Published:	March 2006

Articles in this Issue

Author(s)	Title	Page(s)
Suwansawat, Suchatvee / Einstein, Herbert H.	Artificial neural networks for predicting the maximum surface settlement caused by EPB shield tunneling	133-150
Kwon, Sangki / Cho, W. J. / Han, P. S.	Concept development of an underground research tunnel for validating the Korean reference HLW disposal system	203-217
Jonak, Józef / Gajewski, Jakub	Identifying the cutting tool type used in excavations using neural networks	185-189
Yoo, Chungsik / Jeon, Young-Woo / Choi, Byoung-Suk	IT-based tunnelling risk management system (IT-TURISK) – Development and implementation	190-202
Acaroglu, O. / Ergin, H.	A new method to evaluate roadheader operational stability	172-179
Kasper, Thomas / Meschke, Günther	On the influence of face pressure, grouting pressure and TBM design in soft ground tunnelling	160-171
Neaupane, K. M. / Adhikari, N. R.	Prediction of tunneling-induced ground movement with the multi-layer perceptron	151-159
Lee, C. J. / Wu, B. R. / Chen, H. T. / Chiang, K. H.	Tunnel stability and arching effects during tunneling in soft clayey soil	119-132
Gajewski, Jakub / Jonak, Józef	Utilisation of neural networks to identify the status of the cutting tool point	180-184

About this
data sheet
IssueID
15151
Published on:
07/12/2018
Last updated on:
07/12/2018

Advertisement

Advertisement

Structurae cooperates with

International Association for Bridge and Structural Engineering (IABSE)

e-mosty Magazine

e-BrIM Magazine

Advertisement