Predicting rock mass deformation modulus by artificial intelligence approach based on dilatometer tests

Author:

Asadizadeh Mostafa,Hossaini Mohammad Farouq

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference52 articles.

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2. Barton N (2002) some new Q-value correlations to assist in site characterization and tunnel design. Int J Rock Mech Min Sci 39:185–216

3. Bhushan MV, Sitharam TG (2008) Prediction of elastic modulus of jointed rock mass using artificial neural networks. Geotech Geol Eng 26:443–452

4. Bieniawski ZT (1974) Geomechanics classification of rock masses and its application in tunneling. In: Proceedings of the third congress of the international society for rock mechanics. Denver: pp 23–32

5. Bieniawski ZT (1979) The geomechanics classification in rockengineering applications. In: Proceedings of the fourth congress of ISRM, vol 2, Montreux, pp 41–48

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