Banca de DEFESA: KESLEY ANTONIO SANTOS

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : KESLEY ANTONIO SANTOS
DATE: 18/05/2022
TIME: 09:00
LOCAL: https://conferenciaweb.rnp.br/webconf/lineker-max-goulart-coelho
TITLE:

COMPUTATIONAL FLUID DYNAMICS COUPLED TO DISCRETE ELEMENT METHOD FOR MODELING A HORIZONTAL SUBSURFACE CONSTRUCTED WETLAND

KEY WORDS:

Constructed Wetlands; Computational Fluid Dynamics; Discrete Element Method; Computational Modeling; Simulation; OpenFOAM®; LIGGGHTS®; CFDEM®coupling

PAGES: 115
BIG AREA: Engenharias
AREA: Engenharia Civil
SUBÁREA: Engenharia Hidráulica
SPECIALTY: Hidráulica
SUMMARY:

Computational fluid dynamics (CFD) is a tool that can assist in studies of the processes involved in the interior of constructed wetlands (CWs). However, the approaches used so far sacrifice important details for an in-depth analysis of the hydrodynamics of this wastewater treatment system. The Discrete Element Method (DEM) is a sophisticated approach to modeling porous media and has not yet been tested for WCs. In this work, the CFD-DEM was introduced and validated with experimental data from two case studies of CWs and the results were compared with the classic porous medium modeling through Darcy-Forchheimer equation. The CFD-DEM model demonstrated its dexterity by the statistical indices of Willmot (IC) and Pielke (D_PIELKE). The IC for the coupling simulations was 0.89 and 0.87 against 0.29 and 0.00 of the classic modeling. The CFD-DEM model obtained good agreement with the tracer test where the simulated mean retention time were 2.18d and 4.45d compared to 1.83d and 4.55d for the experimental beds, respectively. The proposed model was able to accurately classify the hydraulic efficiency of the beds. In addition, in the post-processing data, the CFD-DEM model was able to identify anomalies in the flow and aspects that classical modeling was not able to simulate. The application of the coupling between CFD and DEM will be useful for the development of models capable of performing more complex analyses.

BANKING MEMBERS:
Interna - HERSILIA DE ANDRADE E SANTOS
Interno - ROGERIO CABRAL DE AZEVEDO
Externa à Instituição - DANIELA GUZZON SANAGIOTTO - UFRGS
Externa à Instituição - KARINA QUERNE DE CARVALHO PASSIG - UTFPR