Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5006365 | Measurement | 2017 | 38 Pages |
Abstract
The selection of suitable overburden loosening method has a crucial importance in several applications of geotechnical engineering. Factors such as rock properties and environmental constrains play a significant role in the selection of the needed equipment for overburden loosening. This paper presents several new models/equations for prediction of ripping production (Q) using rock material properties. To this end, three sites in Malaysia were selected and a total of 52 direct ripping tests were conducted in Johor state on sandstone and shale rock types. In addition, using the collected block samples, point load test, Brazilian test, slake-durability test, p-wave velocity test and uniaxial compressive strength test were also carried out in the laboratory. Numerous equations have been proposed to predict Q considering simple regression, linear multiple regression (LMR), and non-linear multiple regression (NLMR) models. Simple regression analysis indicated that the relationships between rock material properties and Q were meaningful and acceptable. Furthermore, both LMR and NLMR equations indicated similar performance capacity in predicting Q. Nevertheless; the use of NLMR equations resulted in prediction performance with higher accuracy in estimating Q compared to LMR equations.
Related Topics
Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
Edy Tonnizam Mohamad, Danial Jahed Armaghani, Amir Mahdyar, Ibrahim Komoo, Khairul Anuar Kassim, Arham Abdullah, Muhd Zaimi Abd Majid,