2020
DOI: 10.1016/j.jhydrol.2020.125342
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Uncertainty propagation of dam break flow using the stochastic non-intrusive B-splines Bézier elements-based method

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Cited by 11 publications
(10 citation statements)
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“…In this whole process, the flow discharge is clearly a prominent parameter. Thus, there are numerous models and formulas for predicting discharge variation and peak discharge [41][42][43][44]. Existing emergency measures are also used to immediately return the main channel streamflow to normal parameters [36,40,45].…”
Section: Discussionmentioning
confidence: 99%
“…In this whole process, the flow discharge is clearly a prominent parameter. Thus, there are numerous models and formulas for predicting discharge variation and peak discharge [41][42][43][44]. Existing emergency measures are also used to immediately return the main channel streamflow to normal parameters [36,40,45].…”
Section: Discussionmentioning
confidence: 99%
“…This approach belongs to the multi-element techniques that use local piecewise bases expressed as a function of input random parameters. It is worth noting that the basic framework of the BSBEM in its full-order version has been presented in detail in [33,34]. Thus, only a summary description of its fundamental aspects is outlined in the following.…”
Section: Regression-based Non-intrusive B-splines Bézier Elements Met...mentioning
confidence: 99%
“…where e stands for the e th Bézier element I e and p i denotes the polynomial order of the univariate B-splines basis function ψ i (ξ i ). Details of the construction of the B-splines basis and their extraction from the local Bernstein's functions can be found in [33,34,36]. In each Bézier element, a set of n e s ≥ n b collocation points are selected ξ e(r) ∈ I e ; r = 1, .…”
Section: Let Us Considermentioning
confidence: 99%
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