Saffet Yagiz
Title
Cited by
Cited by
Year
Utilizing rock mass properties for predicting TBM performance in hard rock condition [the best paper awarded by IAEG and the most cited article of TUST in 2008]
S Yagiz
Tunnelling and Underground Space Technology 23 (3), 326-339, 2008
2252008
Assessment of brittleness using rock strength and density with punch penetration test [one of the most cited articles of TUST in 2009]
S Yagiz
Tunnelling and Underground Space Technology 24 (1), 66-74, 2009
1872009
Application of two non-linear prediction tools to the estimation of tunnel boring machine performance
S Yagiz, C Gokceoglu, E Sezer, S Iplikci
Engineering Applications of Artificial Intelligence 22 (4), 808-814, 2009
1572009
Predicting uniaxial compressive strength, modulus of elasticity and index properties of rocks using the Schmidt hammer
S Yagiz
Bulletin of Engineering Geology and the Environment 68 (1), 55-63, 2009
1422009
Development of rock fracture and brittleness indices to quantify the effects of rock mass features and toughness in the CSM Model basic penetration for hard rock tunneling machines
S Yagiz
PhD Dissertation, Colorado School of Mines, USA., T-5605, 289p., 2002
1122002
P-wave velocity test for assessment of geotechnical properties of some rock materials
S Yagiz
Bulletin of Materials Science 34 (4), 947, 2011
1112011
Prediction of hard rock TBM penetration rate using particle swarm optimization
S Yagiz, H Karahan
International Journal of Rock Mechanics and Mining Sciences 48 (3), 427-433, 2011
1062011
Application of fuzzy inference system and nonlinear regression models for predicting rock brittleness
S Yagiz, C Gokceoglu
Expert Systems with Applications 37 (3), 2265-2272, 2010
1062010
Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition [the most cited article published since 2017 in TUST]
DJ Armaghani, ET Mohamad, MS Narayanasamy, N Narita, S Yagiz
Tunneling and Underground Space Technology, 63 (3), 29-43, 2017
105*2017
Artificial neural networks and nonlinear regression techniques to assess the influence of slake durability cycles on the prediction of uniaxial compressive strength and modulus …
S Yagiz, EA Sezer, C Gokceoglu
International Journal for Numerical and Analytical Methods in Geomechanics …, 2012
952012
A support vector regression model for predicting tunnel boring machine penetration rates
S Mahdevari, K Shahriar, S Yagiz, MA Shirazi
International Journal of Rock Mechanics and Mining Sciences 72, 214-229, 2014
712014
Application of tunnel boring machines in underground mine development
M Cigla, S Yagiz, L Ozdemir
17th international mining congress and exhibition of Turkey, 155-164, 2001
652001
Prediction of the uniaxial compressive strength of sandstone using various modeling techniques
DJ Armaghani, MFM Amin, S Yagiz, RS Faradonbeh, RA Abdullah
International Journal of Rock Mechanics and Mining Sciences 85 (5), 174-186, 2016
582016
Correlation between slake durability and rock properties for some carbonate rocks
S Yagiz
Bulletin of engineering geology and the environment 70 (3), 377-383, 2011
582011
Brief note on the influence of shape and percentage of gravel on the shear strength of sand and gravel mixtures
S Yagiz
Bulletin of Engineering Geology and the Environment 60 (4), 321-323, 2001
572001
Application of several non-linear prediction tools for estimating uniaxial compressive strength of granitic rocks and comparison of their performances
DJ Armaghani, ET Mohamad, M Hajihassani, S Yagiz, H Motaghedi
Engineering with Computers 32 (2), 189-206, 2016
522016
Predicting penetration rate of hard rock tunnel boring machine using fuzzy logic
E Ghasemi, S Yagiz, M Ataei
Bulletin of Engineering Geology and the Environment 73 (1), 23-35, 2014
462014
Application of various optimization techniques and comparison of their performances for predicting TBM penetration rate in rock mass
S Yagiz, H Karahan
International Journal of Rock Mechanics and Mining Sciences 80, 308-315, 2015
452015
Relationship between the standard penetration test and the pressuremeter test on sandy silty clays: a case study from Denizli
S Yagiz, E Akyol, G Sen
Bulletin of Engineering Geology and the Environment 67 (3), 405-410, 2008
372008
Function development for appraising brittleness of intact rocks using genetic programming and non linear multiple regression models.
M Khandelwal, RS Faradonbeh, M Monjezi, DJ Armaghani, M Majid, ...
Engineering with Computers 33 (1), 13-21, 2017
352017
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Articles 1–20