Browsing by Author "Rajesh Kumar, B.R."

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A new approach for estimation of properties of metamorphic rocks
(Inderscience Publishers, 2011) Rajesh Kumar, B.R.; Vardhan, H.; Govindaraj, M.
Rock properties play an important role in the preliminary design of structures. This research focuses on developing empirical models using multiple regression technique for prediction of physical properties of metamorphic rocks. The model considers the following parameters: drill bit diameter, bit speed, penetration rate and equivalent sound level produced during drilling. The F-test was used to check the validity of the developed models. The experimentally measured rock property values and the values calculated from the developed regression model were fairly close which indicates that the developed models could be efficiently used in prediction of intact metamorphic rock properties. Copyright © 2011 Inderscience Enterprises Ltd.
Estimating rock properties using sound level during drilling: field investigation
(2010) Rajesh Kumar, B.R.; Vardhan, H.; Govindaraj, M.
The process of drilling, in general, always produces sound as a by-product. Sound is used as a diagnostic tool for identification of faulty components in the mechanical industry. However, its application in the mining industry for estimating rock properties has not been much explored. Knowledge of rock properties is essential for mine planning and design. An attempt has been made in this paper to estimate the rock properties using the sound levels produced during drilling. The results of this study show that sound level produced during drilling can be a promising tool for estimating rock properties. © 2010 Inderscience Enterprises Ltd.
Prediction of uniaxial compressive strength, tensile strength and porosity of sedimentary rocks using sound level produced during rotary drilling
(2011) Rajesh Kumar, B.R.; Vardhan, H.; Govindaraj, M.
The main purpose of the study is to develop a general prediction model and to investigate the relationships between sound level produced during drilling and physical properties such as uniaxial compressive strength, tensile strength and percentage porosity of sedimentary rocks. The results were evaluated using the multiple regression analysis taking into account the interaction effects of various predictor variables. Predictor variables selected for the multiple regression model are drill bit diameter, drill bit speed, penetration rate and equivalent sound level produced during rotary drilling (Leq). The constructed models were checked using various prediction performance indices. Consequently, it is possible to say that the constructed models can be used for practical purposes. © Springer-Verlag 2011.