A dynamic adaptation method based on unstructured mesh for solving sloshing problems. (1st January 2017)

• Record Type: Journal Article
• Authors: Sufyan, Muhammad; Ngo, Long Cu; Choi, Hyoung Gwon
• Is Part Of: Ocean engineering. Volume 129(2017)
• Page Start: 203
• Page End: 216
• Publication Date: 2017-01-01
• Subjects: Dynamic adaptation -- Unstructured mesh -- Local coarsening/refinement -- Sloshing -- Finite element method; Ocean engineering -- Periodicals; Ocean engineering; Periodicals; 620.4162
• DOI: 10.1016/j.oceaneng.2016.11.016
• Languages: English
• ISSNs: 0029-8018

Abstract

Abstract: A dynamic mesh-adaptation algorithm based on an unstructured mesh was used to solve sloshing problems by a finite element method. The free surface evolution of sloshing with a low filling ratio is so violent that a local mesh coarsening/refinement (LCR) technique can be effectively used to resolve the flow field near the interface of two immiscible fluids. Since an implicit discretization method was employed to solve the incompressible Navier-Stokes equations, an assembled global matrix was generated using a dynamic compressed sparse row (CSR) method. The proposed algorithm was validated by comparing the simulation results with those of a non-adaptive method with respect to wall impact pressures and mass conservation. Numerical results showed that relative mass error strongly depends on mesh resolution near the interface. Results of adaptive simulations were found to be comparable with those of non-adaptive simulations only if a similar mesh resolution was used near the interface. Moreover, adaptive simulations were about two times faster than the non-adaptive ones. The effect of the adaptive zone and smoothing zone on the impact pressure was also examined for the proposed algorithm. Highlights: A dynamic local mesh coarsening/refinement (LCR) method is newly developed for sloshing simulations with unstructured mesh. Results from adaptive grids agree well with existing experimental and numerical studies. Present adaptation scheme reduce the computational cost at-least by half. Present numerical approach can handle almost all the filling ratios of practical importance.