Using artificial neural network (ANN) for modelling of load distribution along fully grouted cable bolts-Reference-Cited by-同舟云学术

Using artificial neural network (ANN) for modelling of load distribution along fully grouted cable bolts

Published:2006-03 Issue:1 Volume:115 Page:24-33
ISSN:1474-9009
Container-title:Mining Technology
language:en
Short-container-title:Mining Technology

Author:

Grayeli R.,Moosavi M.

Publisher

Informa UK Limited

Subject

Geology,Geotechnical Engineering and Engineering Geology,General Earth and Planetary Sciences,General Engineering,General Environmental Science

Link

http://www.tandfonline.com/doi/pdf/10.1179/174328606X98330

Reference15 articles.

1. P. G. Fuller and R. H. T. Cox: Proc. 5th Aust. Conf. on ‘Mechanics of structures and materials’, Melbourne, Australia, 1975, 189–203.

2. The effect of rock mass confinement on the bond strength of fully grouted cable bolts

3. A. J. Hyett, W. F. Bawden and A. L. Coulson: in ‘Rock support in mining and underground construction’, Proc. Int. Symp. on ‘Rock support’, Sudbury, Ontario, June 1992 (ed. P. K. Kaiser and D. R. McCreath); 341–348; 1992,Rotterdam, Balkema.

4. J. M. Goris: ‘Laboratory evaluation of cable bolt supports: first part’, Report of Investigations RI 9308, US Bureau of Mines, 1990.

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3. Response Analysis of Field-Scale Fully Grouted Standard Cable Bolts Using a Coupled ANN–FDM Approach;Journal of Engineering Mechanics;2009-06