SciELO - Scientific Electronic Library Online

 
vol.72 número147STRUCTURAL DESIGN PROCEDURES BASED ON NSR-98 ERRORS, EXAMPLES AND UPDATE PROPOSALSRHEOLOGICAL AND TEXTURAL CHARACTERIZATION OF THE EDAM CHEESE índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Artigo

Indicadores

Links relacionados

  • Em processo de indexaçãoCitado por Google
  • Não possue artigos similaresSimilares em SciELO
  • Em processo de indexaçãoSimilares em Google

Compartilhar


DYNA

versão impressa ISSN 0012-7353

Resumo

VILLEGAS R., BEATRIZ; TORO B., MAURICIO  e  VELEZ U., JAIME I.. OPTIMUM GRID SIZE AND TIME STEP DEFINITION IN A NUMERICAL MODEL: PORCE II CASE STUDY. Dyna rev.fac.nac.minas [online]. 2005, vol.72, n.147, pp.23-32. ISSN 0012-7353.

Among the activities carried out for the numerical simulation of the thermal structure of a tropical reservoir, in this paper a procedure has been defined for the geometric and computing time interval model parameterization based on the development of a sensitivity analysis of those parameters. For the geometric parameterization the sensitivity analysis of the model is concentrated on the grid size, first in the horizontal plane followed by one in the vertical direction. Effects of the different grid sizes are measured through statistical tests comparing globally the model results for each grid size with the results obtained for a grid chosen as the reference grid. For the computing time interval a similar procedure was used in the optimal time step determination by changing the time step size. Numerical simulations were carried out with the ELCOM (Estuary and Lake Computer Model) computational model developed by the Center of Water Research (CWR) of the University of Western Australia. The application test was for the Porce II reservoir in the province of Antioquia in Colombia for which a hypothetical scenario was defined. The sensitivity analysis is based on the statistics parameters “Root Mean Square Error” (RMS) and the variation coefficient (CV).

Palavras-chave : Numerical Models; Sensibility Analysis; Reservoir Applications.

        · resumo em Espanhol     · texto em Espanhol     · Espanhol ( pdf )

 

Creative Commons License Todo o conteúdo deste periódico, exceto onde está identificado, está licenciado sob uma Licença Creative Commons