Bulletin of the American Physical Society
71st Annual Meeting of the APS Division of Fluid Dynamics
Volume 63, Number 13
Sunday–Tuesday, November 18–20, 2018; Atlanta, Georgia
Session D10: Computational Fluid Dynamics Methods for Multiphase Flows II
2:30 PM–4:40 PM,
Sunday, November 18, 2018
Georgia World Congress Center
Room: B215
Chair: Stephane Zaleski, Pierre and Marie Curie University
Abstract ID: BAPS.2018.DFD.D10.3
Abstract: D10.00003 : Adjoint data assimilation for a two-fluids flow with deformable interface
2:56 PM–3:09 PM
Presenter:
Jie Wu
(Univ of Minnesota - Twin Cities)
Authors:
Jie Wu
(Univ of Minnesota - Twin Cities)
Lian Shen
(Univ of Minnesota - Twin Cities)
The aim of data assimilation is to recover more kinematics and dynamics details from observations by combing numerical model and measurement. In this study, we have developed an adjoint data assimilation model for assimilating measurements in two-fluids flow simulation with deformable interfaces. The coupled level-set and volume-of-fluid (CLSVOF) method is used to capture the liquid-gas interface in the simulation. An adjoint solver for the Navier-Stokes equations with the CLSVOF method is developed. In this method, a cost function is defined for the error between simulation and measurement. The cost function is reduced in an optimization process with the gradient information provided by the adjoint solver. Our model is validated by matching the gradients calculated by the adjoint solver with the approximated gradients by the finite difference method. Canonical problems of surface waves and vortices interacting with a free surface are considered as test cases. It is found that the flow structure and interface geometry can be successfully reconstructed by incorporating velocity measurements at several positions into the data assimilation model.
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2018.DFD.D10.3
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