SciELO - Scientific Electronic Library Online

 
 issue83An algorithm for learning sparsifying transforms of multidimensional signalsArchitectural capability analysis using a model-checking technique author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google

Share


Revista Facultad de Ingeniería Universidad de Antioquia

Print version ISSN 0120-6230

Abstract

GOMEZ-ZAMBRANO, Hernán Javier; LOPEZ-RIOS, Víctor Ignacio  and  TORO-BOTERO, Francisco Mauricio. New methodology for calibration of hydrodynamic models in curved open-channel Flow. Rev.fac.ing.univ. Antioquia [online]. 2017, n.83, pp.82-91. ISSN 0120-6230.  https://doi.org/10.17533/udea.redin.n83a11.

This paper evaluates a new methodology for calibration of hydrodynamic models based on the theory of statistical design of experiments. An Eulerian-Eulerian hydrodynamic homogeneous model, integrated by the commercial software CFX Ansys Inc., is used to perform the numerical experiments. For the screening step, the fractional factorial experimental design 2(7-2) was used, followed by a Draper-Lin design of second order to find the optimum point in the calibration. A new method is introduced to generate the level of points to the center and to carry out the test of lack of fit. In this work, we develop a validated methodology for the calibration of deterministic hydrodynamic models with several factors, suggesting a second-order regression model for forecasting the optimum point of the simulations, with acceptable accuracy in predicting the response variable.

Keywords : Curved channel; hydrodynamic model; design of experiments; lack of fit; calibration of numerical models.

        · abstract in Spanish     · text in English     · English ( pdf )