A new adaptive mesh refinement to model water flow around fishing nets

• Published in: Ocean engineering Vol. 113; pp. 34 - 43
• Main Authors: Devilliers, M., Vincent, B., Mnassri, I.
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.02.2016; Elsevier
• Subjects: 3D model; Adaptive mesh refinement; Fluid mechanics; Fluid structure interaction; Life Sciences; Net deployment; Riemann problem; 3D model; Fluid mechanics; Adaptive mesh refinement; Fluid structure interaction; Riemann problem; Net deployment
• ISSN: 0029-8018; 1873-5258
• DOI: 10.1016/j.oceaneng.2015.12.009

This paper presents a new adaptive mesh refinement strategy which offers an alternative to the classic AMR methods. The automatic local refinement needs only few additional storage and has good cpu-time results which makes it a fine candidate for some specific studies. It is here applied to a fluid–structure interaction problem: the prediction of the behavior of a submerged net for fisheries applications from fishing companies and scientific questioning. Indeed, the structure code modeling the net already uses a lot of memory space so we introduce a scheme which does not require data structure. The original algorithm employs a local numbering of the cells to identify the neighbor of every cell. The auto-adaptive mesh is applied to the fluid model for a test case describing the hydrodynamic behavior of a netting panel. •We model the hydrodynamic behavior of a submerged net.•The auto-adaptive mesh is following the area of interest of the computational domain.•The algorithm for building the mesh is original and simple.•We report the performances of the new 3D model using experimental data.