Supplementary material for: "The symmetry properties and bifurcations of viscoelastic thermovibrational convection in a square cavity"



Each folder corresponds to a figure or table. Its name is the same as the figure it corresponds to.

The data should be read as follow:

· Tab1 contains five folders, one for each mesh. Each mesh folder contains “Nu.txt”, “K.dat”, and “EE.dat”. These files can be read and analysed using MATLAB, excel, python or similar software.

· Fig2 contains “maxV.dat”, which is the global maximum of the vertical velocity over time. This file can be read and analysed using MATLAB, excel, python or similar software.

· Fig3 contains an excel spreadsheet with the growth rate as a function of the vibrational Rayleigh number for each of the nine cases analysed in this work. It also reports the extrapolation function to calculate the critical threshold.

· Fig5_and_fig10 reports the time-averaged Nu, K, and EE values for each value of Ra_omega analysed in this work. Moreover, the column “low_freq” also reports the low frequency of the intermittent disturbance used to prepare figure 10.

· Fig6 and fig7 report the raw data to create the streamlines. They can be visualised by opening the “open.foam” file with Paraview. For what concerns the spatiotemporal maps, the raw data can be found in “postprocessing/singleGraph” where, for each sampling time (name of the folder), there is a text file containing “line_T” and “line_U” files, i.e. the extracted profile of temperature and velocity respectively. To visualise the maps, these folders should be post-processed (using MATLAB or python) and plotted as a contour. To facilitate the reading of these data, a “.mat” file containing the files already post-processed is also provided in each folder. This MATLAB archive can be opened only in MATLAB.

· Fig8_and_fig9 for the visualisation of the map, same as above. For the signal, it can be found in “\postProcessing\probes\0”, in a text file “U” that can be opened with MATLAB or similar.

· Fig11, see above.

· Video_intermittent is a video that shows the streamlines evolution for the intermittent case.
Date made available3 Nov 2023
PublisherUniversity of Strathclyde
Date of data production2022

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