A comparative study of Schmidt hammer testing procedures with reference to rock cutting machine performance prediction

R.M. Goktan; N. Gunes

doi:10.1016/j.ijrmms.2004.12.002

A comparative study of Schmidt hammer testing procedures with reference to rock cutting machine performance prediction

International Journal of Rock Mechanics and Mining Sciences ◽

10.1016/j.ijrmms.2004.12.002 ◽

2005 ◽

Vol 42 (3) ◽

pp. 466-472 ◽

Cited By ~ 48

Author(s):

R.M. Goktan ◽

N. Gunes

Keyword(s):

Comparative Study ◽

Performance Prediction ◽

Rock Cutting ◽

Schmidt Hammer ◽

Testing Procedures ◽

Machine Performance ◽

Cutting Machine

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Tunnel boring machine performance prediction with scaled rock cutting tests

International Journal of Rock Mechanics and Mining Sciences ◽

10.1016/j.ijrmms.2014.04.021 ◽

2014 ◽

Vol 70 ◽

pp. 450-459 ◽

Cited By ~ 37

Author(s):

Martin Entacher ◽

Stefan Lorenz ◽

Robert Galler

Keyword(s):

Performance Prediction ◽

Tunnel Boring Machine ◽

Rock Cutting ◽

Tunnel Boring ◽

Machine Performance

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A Study on Rock Cutting Forces and Wear Mechanisms of Coated Picks by Lab-Scale Linear Cutting Machine

Proceedings of the 28th International Symposium on Mine Planning and Equipment Selection - MPES 2019 - Springer Series in Geomechanics and Geoengineering ◽

10.1007/978-3-030-33954-8_53 ◽

2019 ◽

pp. 467-475

Author(s):

Sathish Kumar Palaniappan ◽

Samir Kumar Pal ◽

M. P. Dikshit

Keyword(s):

Wear Mechanisms ◽

Cutting Forces ◽

Rock Cutting ◽

Cutting Machine

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Virtual Machine Performance Prediction Based on Transfer Learning of Bayesian Network

10.1007/978-3-030-71704-9_15 ◽

2021 ◽

pp. 229-245

Author(s):

Wang Bobo

Keyword(s):

Bayesian Network ◽

Transfer Learning ◽

Virtual Machine ◽

Performance Prediction ◽

Machine Performance

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Comparative study of multiple testing procedures in phase II clinical trials

Controlled Clinical Trials ◽

10.1016/0197-2456(91)90332-g ◽

1991 ◽

Vol 12 (5) ◽

pp. 718

Author(s):

F. Seguret ◽

A. El Hasnaoul ◽

J.P. Daures

Keyword(s):

Clinical Trials ◽

Comparative Study ◽

Phase Ii ◽

Multiple Testing ◽

Testing Procedures ◽

Phase Ii Clinical Trials ◽

Multiple Testing Procedures

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95/03753 Enhanced performance prediction of solar collector/storage water heaters with reflector systems — a comparative study

Fuel and Energy Abstracts ◽

10.1016/0140-6701(95)95383-g ◽

1995 ◽

Vol 36 (4) ◽

pp. 271

Keyword(s):

Comparative Study ◽

Performance Prediction ◽

Solar Collector ◽

Water Heaters

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Energy based diamond cutting machine performance calculation method used for facing stone extraction

Vestnik of Nosov Magnitogorsk State Technical University ◽

10.18503/1995-2732-2016-14-2-18-24 ◽

2016 ◽

Vol 14 (2) ◽

pp. 18-24

Author(s):

Gennadiy Daltonovitch Pershin ◽

◽

Maxim Sergeevich Ulyakov ◽

Elena Gennadievna Pshenichnaya ◽

Bulat Maratovich Gabbasov ◽

...

Keyword(s):

Calculation Method ◽

Stone Extraction ◽

Diamond Cutting ◽

Machine Performance ◽

Cutting Machine ◽

Performance Calculation

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Comparative Study on the Performance Prediction of Fuel Cell Using Support Vector Machine with Different Kernel Functions

Lecture Notes in Electrical Engineering - Proceedings of China SAE Congress 2018: Selected Papers ◽

10.1007/978-981-13-9718-9_25 ◽

2019 ◽

pp. 337-351

Author(s):

Hanqi Ye ◽

Xiaojun Ma ◽

Tianxin Yang ◽

Yongping Hou

Keyword(s):

Support Vector Machine ◽

Fuel Cell ◽

Comparative Study ◽

Performance Prediction ◽

Kernel Functions ◽

Support Vector

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Prediction of mono-wire cutting machine performance parameters using artificial neural network and regression models

Engineering Geology ◽

10.1016/j.enggeo.2018.03.009 ◽

2018 ◽

Vol 239 ◽

pp. 96-108 ◽

Cited By ~ 9

Author(s):

E. Yilmazkaya ◽

G. Dagdelenler ◽

Y. Ozcelik ◽

H. Sonmez

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Regression Models ◽

Performance Parameters ◽

Machine Performance ◽

Cutting Machine ◽

Wire Cutting ◽

Artificial Neural

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Rock Cutting Machine

Scientific American ◽

10.1038/scientificamerican08021884-70 ◽

1884 ◽

Vol 51 (5) ◽

pp. 70-70

Keyword(s):

Rock Cutting ◽

Cutting Machine

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TBM performance prediction model with a linear base function and adjustment factors obtained from rock cutting and indentation tests

Tunnelling and Underground Space Technology ◽

10.1016/j.tust.2019.103085 ◽

2019 ◽

Vol 93 ◽

pp. 103085 ◽

Cited By ~ 2

Author(s):

Martin Entacher ◽

Jamal Rostami

Keyword(s):

Prediction Model ◽

Performance Prediction ◽

Rock Cutting ◽

Base Function ◽

Tbm Performance ◽

Adjustment Factors ◽

Indentation Tests

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