Prediction of mechanical properties of non-welded and moderately welded ignimbrite using physical properties, ultrasonic pulse velocity, and point load index tests-Reference-Cited by-同舟云学术

Prediction of mechanical properties of non-welded and moderately welded ignimbrite using physical properties, ultrasonic pulse velocity, and point load index tests

Published:2009-02-01 Issue:1 Volume:42 Page:107-122
ISSN:1470-9236
Container-title:Quarterly Journal of Engineering Geology and Hydrogeology
language:en
Short-container-title:Quarterly Journal of Engineering Geology and Hydrogeology

Author:

Binal A.

Publisher

Geological Society of London

Subject

Earth and Planetary Sciences (miscellaneous),Geology,Geotechnical Engineering and Engineering Geology

Reference41 articles.

1. Fuzzy model for the prediction of unconfined compressive strength of rock samples

2. Using neural networks to predict workability of concrete incorporating metakaolin and fly ash

3. Baughman D.R. Liu Y.A. (1995) Neural Networks in Bio-Processing and Chemical Engineering (Academic Press, New York).

4. The physical and mechanical properties of the fell sandstones, Northumberland, England

5. The point-load test in geotechnical practice

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