4.5 Article

A subcycling/non-subcycling time advancement scheme-based DLM immersed boundary method framework for solving single and multiphase fluid-structure interaction on

期刊

COMPUTERS & FLUIDS
卷 238, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compfluid.2022.105358

关键词

Adaptive mesh refinement (AMR); Distributed Lagrange multiplier (DLM); Multiphase flows; Subcycling; Non-subcycling; AMReX

资金

  1. Office of Naval Research [N00014-17-1-2658, N00014-19-1-2139]
  2. National Science Foundation, USA [OAC-1931368]

向作者/读者索取更多资源

This paper presents an adaptive implementation of the distributed Lagrange multiplier immersed boundary method for solving single- and multiphase fluid-structure interaction problems using multilevel collocated grids. The approach includes non-subcycling and subcycling time advancement schemes, demonstrating excellent momentum and mass conservation across different levels of grid hierarchy.
In this paper, we present an adaptive implementation of the distributed Lagrange multiplier (DLM) immersed boundary (IB) method on multilevel collocated grids for solving single-and multiphase fluid-structure interaction (FSI) problems. Both a non-subcycling time advancement scheme and a subcycling time advancement scheme, which are applied to time-march the composite grid variables on a level-by-level basis, are presented; these schemes use the same time step size and a different time step size, respectively, on different levels. This is in contrast to the existing adaptive versions of the IB method in the literature, in which coarse-and fine-level variables are simultaneously solved and advanced in a coupled fashion. A force-averaging technique and a series of synchronization operations are constructed to achieve excellent momentum and mass conservation across multiple levels of grid hierarchy. We demonstrate the versatility of the present multilevel framework by simulating problems with various types of kinematic constraints imposed by structures on fluids, such as imposing a prescribed motion, free motion, and time-evolving shape of a solid body. The DLM method is also coupled to a robust level set method-based two-phase fluid solver to simulate challenging multiphase flow problems, including wave energy harvesting using a mechanical oscillator. The capabilities and robustness of the computational framework are validated against a variety of benchmarking single-phase and multiphase FSI problems from the literature, which include a three-dimensional swimming eel model to demonstrate the significant speedup and efficiency that result from employing the present multilevel subcycling FSI scheme.

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