Sentence examples for mass rating system from inspiring English sources

The Rock Mass Rating system derives quantitative data for engineering designs that can easily be communicated between engineers and geologists.

This paper outlines the development of a rock mass rating system for coal measure rock masses that can be used to empirically predict the engineering properties of stratified rock masses.

Using these measurements slope stability probability classifications (SSPC) have been quantified based on an adaptation of Hack's [Slope Stability Probability Classification, ITC Delft Publication, Enschede, Netherlands, vol. 43, 1998, 273 pp.] SSPC system, which places less influence on rock quality designation and unconfined compressive strength than previous slope/rock mass rating systems.

Support systems for each underground opening were designed based on the suggestions of the rock mass rating (RMR) system and the Q system of rock mass classification.

Numerous classification systems have been developed for rock slopes, of which the Slope Mass Rating (SMR) system is the most popular.

In this paper we develop a prediction system for radial displacements around the face of an opening by combining rock mass rating classification system, a three dimensional finite difference code and multiple regression modeling.

In the present work, a generic rock mass rating (GRMR) system is developed.

The Rock Mass Rating (RMR) system is a worldwide reference for design applications involving estimation of rock mass properties and tunnel support.

This paper discusses previous works in this area, reviews the available data from Zagros tunnel project, methodology for analysis, and introduces a convenient empirical predictive model for TBM performance by using Rock Mass Rating (RMR) system.

Finally, the empirical methods based on RQD are used to determine the deformation modulus and unconfined compressive strength of rock masses at five different sites including 13 cases, and the results are compared with those obtained by other empirical methods based on rock mass classification indices such as rock mass rating (RMR), Q-system (Q) and geological strength index (GSI).

mass flow rate, system parameter viz.