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A rock mass with a high RMR before the adjustment factors are applied has a high reinforcement potential, and can be reinforced by, for example, rock bolts, whatever the MRMR value might be after excavation. Contrariwise, rock bolts are not a suitable reinforcement for a rock mass with a low RMR (i.e. has a low reinforcement potential).
The rock mass rating (RMR) is a geomechanical classification system for rocks, developed by Z. T. Bieniawski between 1972 and 1973. [1] Since then it has undergone multiple modifications out of which, RMR89 [1] is commonly used. Recently RMR14 [2] has
The Harris–Benedict equation (also called the Harris-Benedict principle) is a method used to estimate an individual's basal metabolic rate (BMR).. The estimated BMR value may be multiplied by a number that corresponds to the individual's activity level; the resulting number is the approximate daily kilocalorie intake to maintain current body weight.
RQD was originally introduced for use with core diameters of 54.7 mm (NX-size core). RQD has considerable value in estimating support of rock tunnels. RQD forms a basic element in some of the most used rock mass classification systems: Rock Mass Rating system (RMR) and Q-system. RQD is defined as the quotient:
Slope mass rating (SMR) is a rock mass classification scheme developed by Manuel Romana [1] [2] [3] to describe the strength of an individual rock outcrop or slope. The system is founded upon the more widely used RMR scheme, [4] which is modified with quantitative guidelines to the rate the influence of adverse joint orientations (e.g. joints dipping steeply out of the slope).
The Katch–McArdle formula (resting daily energy expenditure) The Katch–McArdle formula is used to predict resting daily energy expenditure (RDEE). [24] The Cunningham formula is commonly cited to predict RMR instead of BMR; however, the formulas provided by Katch–McArdle and Cunningham are the same. [25]
For the linguistics formalism, see Q-systems. For the genetic method, see Q-system (genetics).. The Q-system for rock mass classification is developed by Barton, Lien, and Lunde.
Each of the formulas listed in the tables assumes that the roughness profile has been filtered from the raw profile data and the mean line has been calculated. The roughness profile contains n {\displaystyle n} ordered, equally spaced points along the trace, and y i {\displaystyle y_{i}} is the vertical distance from the mean line to the i th ...