Input and output data from simulations of 2D valves and 3D inflow-outflow model using particle methods

Input and output data of open-source softwares for computational fluid dynamics simulation involving fluid-structure interaction.

Data from two studies

Verifications of the weakly-compressible smoothed particle hydrodynamics (WCSPH) method, open-source code SPHinXsys, when applied to the flow of idealized 2D valve models.

Validations of inflow-outflow model in moving particle semi-implicit (MPS) method, open-source code PolyMPS.

Folders and Files

valve-2D.zip is the folder with data from the idealized models of vertical and curved 2D valves:

Vertical valves with parameters provided in Gil et al., 2010

Curved valves with parameters provided in Wick, 2014

source files (.cpp): input data (physical and numerical parameters) for SPHinXsys

text files: SPHinXsys (.dat) and Reference (.tsv) results

python files (.py): Generates the graphics

inflow-outflow-3D.zip is the folder with data from the inflow-outflow model in MPS:

Fluid physical properties of water

\(\rho=1000kg/m^3 , \,\, \nu=10^{-6}m/s^{-2}\)

Pipes of length \(L=0.15m\):

circular section of diameter \(D=0.1m\).

square section of sides \(S=0.1m\).

Constante pressure variation (\(\Delta P = 30 \,\, or \,\, 50 \,\, Pa\)) between inflow and outflow:

\(\frac{\partial p}{\partial x} = - \frac{\Delta P}{L}, \\ \Delta P = P_{outflow} - P_{inflow}\)

Sinusoidal pressure variation (\(\Delta P =700Pa \,\, , \,\, T = 2.0s\)) between inflow and outflow

\(\frac{\partial p}{\partial x} = - \frac{\Delta P}{L} \sin \omega t \, \\ \omega = \frac{2\pi}{T} \\ Delta P = P_{outflow} - P_{inflow}\)

input data (.json, .grid, .stl): physical properties, numerical parameters and geometries for PolyMPS can be found at https://github.com/rubensamarojr/polymps/tree/inOutflow/input

text files (.txt): PolyMPS and OpenFOAM results

python files (.py): Generates the graphics

References

A. J. Gil. The Immersed Structural Potential Method for haemodynamic applications. J. Comput. Phys., 229 (2010), pp. 8613-8641

T. Wick. Flapping and contact FSI computations with the fluid–solid interface-tracking/interface-capturing technique and mesh adaptivity. Comput Mech 53, 29–43 (2014)

D. Kamensky, et al. An immersogeometric variational framework for fluid–structure interaction: Application to bioprosthetic heart valves Comput. Methods Appl. Mech. Engrg., 284 (2015), pp. 1005-1053

C. Kadapa et al. A fictitious domain/distributed Lagrange multiplier based fluid–structure interaction scheme with hierarchical B-Spline grids. Comput. Methods Appl. Mech. Engrg., 301 (2016), pp. 1-27

Jie Liu. A second-order changing-connectivity ALE scheme and its application to FSI with large convection of fluids and near contact of structures. J. Comput. Phys., 304 (2016), pp. 308-423