<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Calibration of parameters of mathematical models is still a tough task in several engineering problems. Many of the models adopted for the numerical simulations of real phenomena, in fact, are of empirical derivation. Therefore, they include parameters which have to be calibrated in order to correctly reproduce the physical evidence. Thus, the success of a numerical model application depends on the quality of the performed calibration, which can be of great complexity, especially if the number of parameters is higher than one. Calibration is traditionally performed by engineers and researchers through manual trial-and-error procedures. However, since models themselves are increasingly sophisticated, it seems more proper to look at more advanced calibration procedures. In this work, in particular, an optimization technique for a multi-parameter calibration is applied to a two-phase depth-averaged model, already adopted in previous works to simulate morphodynamic processes, such as, for example, the dike erosion by overtopping.</p></abstract>

Calibration of parameters of mathematical models is still a tough task in several engineering problems. Many of the models adopted for the numerical simulations of real phenomena, in fact, are of empirical derivation. Therefore, they include parameters which have to be calibrated in order to correctly reproduce the physical evidence. Thus, the success of a numerical model application depends on the quality of the performed calibration, which can be of great complexity, especially if the number of parameters is higher than one. Calibration is traditionally performed by engineers and researchers through manual trial-and-error procedures. However, since models themselves are increasingly sophisticated, it seems more proper to look at more advanced calibration procedures. In this work, in particular, an optimization technique for a multi-parameter calibration is applied to a two-phase depth-averaged model, already adopted in previous works to simulate morphodynamic processes, such as, for example, the dike erosion by overtopping.

A multi-parameter calibration method for the numerical simulation of morphodynamic problems

Journal of Hydrology and Hydromechanics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Calibration of parameters of mathematical models is still a tough task in several engineering problems. Many of the models adopted for the numerical...

A multi-parameter calibration method for the numerical simulation of morphodynamic problems

Online veröffentlicht: 20. März 2017

Seitenbereich: 175 - 182

Eingereicht: 11. Apr. 2016

Akzeptiert: 15. Nov. 2016

DOI: https://doi.org/10.1515/johh-2017-0014

Schlüsselwörter
Optimization, Calibration, Multi-parameter, Numerical models, Morphodynamic models, Dike erosion

© 2017 Stefania Evangelista et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

A multi-parameter calibration method for the numerical simulation of morphodynamic problems

Online veröffentlicht: 20. März 2017

Seitenbereich: 175 - 182

Eingereicht: 11. Apr. 2016

Akzeptiert: 15. Nov. 2016

DOI: https://doi.org/10.1515/johh-2017-0014

SchlüsselwörterOptimization, Calibration, Multi-parameter, Numerical models, Morphodynamic models, Dike erosion

© 2017 Stefania Evangelista et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Optimization, Calibration, Multi-parameter, Numerical models, Morphodynamic models, Dike erosion