Prediction of hard rock TBM penetration rate using particle swarm optimization

Author:

Yagiz Saffet,Karahan Halil

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology

Reference41 articles.

1. Yagiz S. Development of rock fracture & brittleness indices to quantifying the effects of rock mass features & toughness in the CSM model basic penetration for hard rock tunneling machines. PhD thesis, Colorado School of Mines, Golden, Colo, 2002.

2. Application of two non-linear prediction tools to the estimation of tunnel boring machine performance;Yagiz;Eng Appl Artif Intell,2009

3. Utilizing rock mass properties for predicting TBM performance in hard rock condition;Yagiz;Tunnel Underground Space Tech,2008

4. Yagiz S, Rostami J, Kim T, Ozdemir L, Merguerian C. Factors influencing performance of hard rock tunnel boring machine. In: Proceedings of EUROCK'09, Dubrovnik, Croatia, 2009, p. 695–700.

5. Tarkoy PJ. Rock hardness index properties and geotechnical parameters for predicting tunnel boring machine performance. PhD thesis, University of Illinois Urbana-Champaign, 1975.

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