Performance prediction of impact hammer using ensemble machine learning techniques-Reference-Cited by-同舟云学术

Performance prediction of impact hammer using ensemble machine learning techniques

Published:2018-10 Issue: Volume:80 Page:269-276
ISSN:0886-7798
Container-title:Tunnelling and Underground Space Technology
language:en
Short-container-title:Tunnelling and Underground Space Technology

Author:

Ocak Ibrahim,Seker Sadi Evren,Rostami Jamal

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Building and Construction

Reference50 articles.

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2. Performance prediction of impact hammers by block punch index for weak rock masses;Aksoy;Int. J. Rock Mech. Min. Sci.,2009

3. Determination of instantaneous breaking rate by Geological Strength Index;Aksoy;Tunn. Undergr. Space Technol.,2011

4. Aksoy, C.O., Ozacar, V., Gurgen, S., Ulusay, R., 2012. Development of the rock mass breakability chart to be used in impact hammer selection. Research Project Report, TUBITAK, 109M604, 658 pp.

5. An updated formula and method to predict the performance of impact hammers;Aksoy;Int. J. Rock Mech. Min. Sci.,2013

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