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Probabilistic simulation of rock quality designation (RQD)
Abstract Rock quality designation (RQD) parameter distributions are obtained by Monte Carlo simulation techniques to describe the excellent, good, fair, poor and very poor rock percentages within a given rock mass. In the simulations, the intact length distributions are chosen either as the negative exponential or logarithmic-normal distribution. Rock quality designation is dependent on a predetermined level of truncation and therefore the simulation procedure is repeated for different levels and their effects are presented in various charts. RQD distributions are given in detail for different average number of discontinuities. The logarithmic normal distribution is unique in the sense that it preserves in the simulation the variance of intact lengths independently from the mean value. The greater the variance the better is the rock quality.
Probabilistic simulation of rock quality designation (RQD)
Abstract Rock quality designation (RQD) parameter distributions are obtained by Monte Carlo simulation techniques to describe the excellent, good, fair, poor and very poor rock percentages within a given rock mass. In the simulations, the intact length distributions are chosen either as the negative exponential or logarithmic-normal distribution. Rock quality designation is dependent on a predetermined level of truncation and therefore the simulation procedure is repeated for different levels and their effects are presented in various charts. RQD distributions are given in detail for different average number of discontinuities. The logarithmic normal distribution is unique in the sense that it preserves in the simulation the variance of intact lengths independently from the mean value. The greater the variance the better is the rock quality.
Probabilistic simulation of rock quality designation (RQD)
Eissa Elsayed, A. (author) / Sen, Zekâi (author)
1991
Article (Journal)
English
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