Predicting penetration rate of hard rock tunnel boring machine using fuzzy logic
- 24 November 2013
- journal article
- Published by Springer Nature in Bulletin of Engineering Geology and the Environment
- Vol. 73 (1) , 23-35
Abstract
No abstract availableKeywords
This publication has 43 references indexed in Scilit:
- Study of various models for estimation of penetration rate of hard rock TBMsTunnelling and Underground Space Technology, 2012
- Prediction of thrust and torque requirements of TBMs with fuzzy logic modelsTunnelling and Underground Space Technology, 2011
- Prediction of the blastability designation of rock masses using fuzzy setsInternational Journal of Rock Mechanics and Mining Sciences, 2010
- Prediction of environmental impacts of quarry blasting operation using fuzzy logicEnvironmental Monitoring and Assessment, 2010
- A fuzzy logic model to predict specific energy requirement for TBM performance predictionTunnelling and Underground Space Technology, 2008
- Modelling TBM performance with artificial neural networksTunnelling and Underground Space Technology, 2004
- Fuzzy set approaches to classification of rock massesEngineering Geology, 2004
- Analysis of coal mine roof fall rate using fuzzy reasoning techniquesInternational Journal of Rock Mechanics and Mining Sciences, 2003
- Reliability analysis of slopes using fuzzy sets theoryComputers and Geotechnics, 2000
- Advance rates of hard rock TBMs and their effects on project economicsTunnelling and Underground Space Technology, 2000