2011
DOI: 10.1016/j.geomorph.2011.08.004
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Identifying the effects of parameter uncertainty on the reliability of modeling the stability of overhanging, multi-layered, river banks

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Cited by 23 publications
(22 citation statements)
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“…After that, cantilever failure occurred along the tension crack line. The dominant failure mechanism was observed to be beam failure, which is consistent with the findings of previous researchers who have suggested that beam failure may be prevalent (e.g., Darby et al, 2007;Samadi et al, 2011Samadi et al, , 2013Thorne and Tovey, 1981). Moreover, the results indicate that cohesive riverbanks with higher silt-clay contents are more susceptible to failure than those with lower silt-clay contents.…”
Section: Discussionsupporting
confidence: 90%
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“…After that, cantilever failure occurred along the tension crack line. The dominant failure mechanism was observed to be beam failure, which is consistent with the findings of previous researchers who have suggested that beam failure may be prevalent (e.g., Darby et al, 2007;Samadi et al, 2011Samadi et al, , 2013Thorne and Tovey, 1981). Moreover, the results indicate that cohesive riverbanks with higher silt-clay contents are more susceptible to failure than those with lower silt-clay contents.…”
Section: Discussionsupporting
confidence: 90%
“…The results indicate that the overhanging block height and cohesive force have a significant impact on the overhanging block stability (Samadi et al, 2011). For example, the experimental results show that the total experiment time for a higher bank (20 cm in case 2) was longer than that of a lower bank (15 cm in case 3).…”
Section: Discussionmentioning
confidence: 93%
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“…The Gaussian distribution was selected in analogy to the work by Güneralp and Rhoads [2011], who assumed, as first approximation, a Gaussian distribution of the migration coefficient E 0 . Furthermore, studies on the natural variability of geotechnical parameters at bend scale [ Parker et al , 2008] and reach scale [ Samadi et al , 2011] have shown that Gaussian fits of parameter distributions are statistically significant. In particular, Parker et al [2008]demonstrated, using the D'Agostino‐Pearson statistical test for normality, that sampling variability may be in general the only factor responsible for any deviations from a Gaussian distribution for cohesion, friction angle, and saturated unit weight; Samadi et al [2011]observed that values of coefficient of determination of data‐fitted Gaussian probability density function curves for cohesion and matric suction angle are close to unity.…”
Section: Representation Of Floodplain Soilsmentioning
confidence: 99%
“…Two different spatial distributions for floodplain heterogeneity are used. Simulations are performed using a Monte Carlo probabilistic method to evaluate how the variability in erodibility parameters affects meandering river migration at the reach scale, analogously to the approach followed, at the local scale, by Parker et al [2008] and Samadi et al [2011]for the computation of the factor of safety for planar and cantilever failure, respectively. This work identifies to what extent meander migration is affected by floodplain heterogeneity, the parameters that govern this effect, and how their variability affects migrated‐centerline variability.…”
Section: Introductionmentioning
confidence: 99%