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Data · dataset · 2021

Steady State 2D Regularized Lid-Driven Cavity Low-resolution Spatiotemporal Snapshots - Part 3 of 3

Listed in Teesside University Research Data Repository

This data was generated using the pseudo-spectral DNS method outlined in Lee, Dowell, and Balajewicz CNSNS (2017).

Description

Filenames denote Reynolds number. Each file contains a velocity snapshot matrix where each column is sampled at a different timestep.

Original simulations had a factor of 100 higher temporal resolution than do these matrices; the snapshots provided here were spaced 0.1 nondimensional time units apart. Each column comprises both horizontal and vertical velocity data with the former stacked atop the latter. A provided convertCavitySnapshot.m function converts a single cavity snapshot into non-stacked organization. cheb.m builds the x-vector (y is identical) and differentiation matrix D where dx(square_snapshot) = matmul(-square_snapshot,D.transpose) and dy(square_snapshot) = matmul(D,square_snapshot). plotSnapshot.m likewise plots a snapshot for user viewing.

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All data in this repository is discretized as 130 points in both the x and the y directions, viz. the 'res' variable passed to convertCavitySnapshot.m would be 130.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Turbulent flows 78%
Provenance · 1 source records, 11 field assertions
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