2011
DOI: 10.1016/j.probengmech.2011.04.004
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Uncertainty in analyses of one-dimensional steady-state seepage through random porous media

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Cited by 5 publications
(2 citation statements)
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“…In this article, the adjustment to both natural (ln k ) and decimal logarithms (log k ) are presented. The former are more widely used in literature, however the latter are easier to relate to the original value of the hydraulic conductivity [19] . The model estimators were calculated according to the Maximum Likelihood Method [20] : where is the mean of the logarithm base a of k , is the standard deviation of the logarithm base a of k , and n is the sample size.…”
Section: Experimental Design Materials and Methodsmentioning
confidence: 99%
“…In this article, the adjustment to both natural (ln k ) and decimal logarithms (log k ) are presented. The former are more widely used in literature, however the latter are easier to relate to the original value of the hydraulic conductivity [19] . The model estimators were calculated according to the Maximum Likelihood Method [20] : where is the mean of the logarithm base a of k , is the standard deviation of the logarithm base a of k , and n is the sample size.…”
Section: Experimental Design Materials and Methodsmentioning
confidence: 99%
“…Gibson [9], Wang and Huang [28], Baecher and Christian [1] applied the point estimate method for a probabilistic analysis of slope design. López-Acosta and Auvinet [16] applied the method to analyze the one-dimensional steady-state flow through random porous media, whereas Franceschini et al [8] used it for an uncertainty analysis of hydrologic response. Connor and Diederichs [6] presented a reliability-based design approach to evaluate the performance of a composite tunnel lining using a modified point estimate method.…”
Section: Introductionmentioning
confidence: 99%