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Hydrology 2019, 6(1), 9; https://doi.org/10.3390/hydrology6010009

On the Relationship between Experimental and Numerical Modelling of Gravel-Bed Channel Aggradation

Department of Civil and Environmental Engineering, Politecnico di Milano, 20133 Milan, Italy
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Received: 23 December 2018 / Revised: 11 January 2019 / Accepted: 13 January 2019 / Published: 15 January 2019
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Abstract

This communication explores the use of numerical modelling to simulate the hydro-morphologic response of a laboratory flume subject to sediment overloading. The numerical model calibration was performed by introducing a multiplicative factor in the Meyer–Peter and Müller transport formula, in order to achieve a correspondence with the bed and water profiles recorded during a test carried out under a subcritical flow regime. The model was validated using a second subcritical test, and then run to simulate an experiment during which morphological changes made the water regime switch from subcritical to supercritical. The “relationship” between physical and numerical modelling was explored in terms of how the boundary conditions for the two approaches had to be set. Results showed that, even though the first two experiments were reproduced well, the third one could not be modeled adequately. This was explained considering that, after the switch of the flow regime, some of the boundary conditions posed into the numerical model turned out to be misplaced, while others were lacking. The numerical modelling of hydro-morphologic processes where the flow regime is trans-critical in time requires particular care in the position of the boundary conditions, accounting for the instant at which the water regime changes. View Full-Text
Keywords: channel overloading; bed aggradation; experiments; numerical modelling; boundary conditions; flow regime; transient flow channel overloading; bed aggradation; experiments; numerical modelling; boundary conditions; flow regime; transient flow
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Zanchi, B.; Zucchi, M.; Radice, A. On the Relationship between Experimental and Numerical Modelling of Gravel-Bed Channel Aggradation. Hydrology 2019, 6, 9.

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