New methodology for calibration of hydrodynamic models in curved open-channel flow
Author(s) -
Hernán Javier Gómez-Zambrano,
Víctor Ignacio López–Ríos,
Francisco Mauricio Toro-Botero
Publication year - 2017
Publication title -
revista facultad de ingeniería universidad de antioquia
Language(s) - English
Resource type - Journals
eISSN - 2422-2844
pISSN - 0120-6230
DOI - 10.17533/udea.redin.n83a11
Subject(s) - calibration , eulerian path , factorial , design of experiments , factorial experiment , point (geometry) , fractional factorial design , channel (broadcasting) , computer science , variable (mathematics) , computational fluid dynamics , flow (mathematics) , regression analysis , software , simulation , mathematics , statistics , mechanics , machine learning , mathematical analysis , physics , geometry , computer network , lagrangian , programming language
This paper evaluates a new methodology for calibration of hydrodynamicmodels based on the theory of statistical design of experiments. An Eulerian-Eulerianhydrodynamic homogeneous model, integrated by the commercial software CFX AnsysInc., is used to perform the numerical experiments. For the screening step, the fractionalfactorial experimental design 27-2 was used, followed by a Draper-Lin design of second orderto find the optimum point in the calibration. A new method is introduced to generate thelevel of points to the center and to carry out the test of lack of fit. In this work, we develop avalidated methodology for the calibration of deterministic hydrodynamic models with severalfactors, suggesting a second-order regression model for forecasting the optimum point ofthe simulations, with acceptable accuracy in predicting the response variable.
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