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3D Common-Refinement Method for Non-Matching Meshes in Partitioned Variational Fluid-Structure Analysis

Computational Physics 2018-08-15 v1 Fluid Dynamics

Abstract

We present a three-dimensional (3D) common-refinement method for non-matching meshes between discrete non-overlapping subdomains of incompressible fluid and nonlinear hyperelastic structure. To begin, we first investigate the accuracy of common-refinement method (CRM) to satisfy traction equilibrium condition along the fluid-elastic interface with non-matching meshes. We systematically assess the accuracy of CRM against the matching grid solution by varying grid mismatch between the fluid and solid meshes over a cylindrical tubular elastic body. We demonstrate second-order accuracy of CRM through uniform refinements of fluid and solid meshes along the interface. We then extend the error analysis to transient data transfer across non-matching meshes between fluid and solid solvers. We show that the common-refinement discretization across non-matching fluid-structure grids yields accurate transfer of the physical quantities across the fluid-solid interface. We next solve a 3D benchmark problem of a cantilevered hyperelastic plate behind a circular bluff body and verify the accuracy of coupled solutions with respect to the available solution in the literature. By varying the solid interface resolution, we generate various non-matching grid ratios and quantify the accuracy of CRM for the nonlinear structure interacting with a laminar flow. We illustrate that the CRM with the partitioned NIFC treatment is stable for low solid-to-fluid density ratio and non-matching meshes. Finally, we demonstrate the 3D parallel implementation of common-refinement with NIFC scheme for a realistic engineering problem of drilling riser undergoing complex vortex-induced vibration with strong added mass effects.

Keywords

Cite

@article{arxiv.1711.01773,
  title  = {3D Common-Refinement Method for Non-Matching Meshes in Partitioned Variational Fluid-Structure Analysis},
  author = {Yulong Li and Yun Zhi Law and Vaibhav Joshi and Rajeev Kumar Jaiman},
  journal= {arXiv preprint arXiv:1711.01773},
  year   = {2018}
}

Comments

38 pages, 16 figures

R2 v1 2026-06-22T22:36:53.376Z