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Open AccessFeature PaperArticle

BRISENT: An Entropy-Based Model for Bridge-Pier Scour Estimation under Complex Hydraulic Scenarios

1
Department of European and Mediterranean Cultures, Università degli Studi della Basilicata, Potenza 85100, Italy
2
Department of Civil Engineering, Universidad de Concepción, Concepción 4030000, Chile
*
Author to whom correspondence should be addressed.
Water 2017, 9(11), 889; https://doi.org/10.3390/w9110889
Received: 21 September 2017 / Revised: 6 November 2017 / Accepted: 8 November 2017 / Published: 14 November 2017
The goal of this paper is to introduce the first clear-water scour model based on both the informational entropy concept and the principle of maximum entropy, showing that a variational approach is ideal for describing erosional processes under complex situations. The proposed bridge–pier scour entropic (BRISENT) model is capable of reproducing the main dynamics of scour depth evolution under steady hydraulic conditions, step-wise hydrographs, and flood waves. For the calibration process, 266 clear-water scour experiments from 20 precedent studies were considered, where the dimensionless parameters varied widely. Simple formulations are proposed to estimate BRISENT’s fitting coefficients, in which the ratio between pier-diameter and sediment-size was the most critical physical characteristic controlling scour model parametrization. A validation process considering highly unsteady and multi-peaked hydrographs was carried out, showing that the proposed BRISENT model reproduces scour evolution with high accuracy. View Full-Text
Keywords: sediment transport; bridge scour; informational entropy; principle of maximum entropy; effective flow work; unsteady hydraulic conditions sediment transport; bridge scour; informational entropy; principle of maximum entropy; effective flow work; unsteady hydraulic conditions
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MDPI and ACS Style

Pizarro, A.; Samela, C.; Fiorentino, M.; Link, O.; Manfreda, S. BRISENT: An Entropy-Based Model for Bridge-Pier Scour Estimation under Complex Hydraulic Scenarios. Water 2017, 9, 889.

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