Keuchel, Patrick; Avila, Marc (2025): Numerical data of nonlinear optimal perturbation growth in pulsatile pipe flow [dataset]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.987378 (DOI registration in progress)
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Published: 2025-12-11
Abstract:
Pulsatile fluid flows through straight pipes undergo a sudden transition to turbulence that is extremely difficult to predict. The difficulty stems here from the linear Floquet stability of the laminar flow up to large Reynolds numbers, well above experimental observations of turbulent flow. This makes the instability problem fully nonlinear and thus dependent on the shape and amplitude of the flow perturbation, in addition to the Reynolds and Womersley numbers and the pulsation amplitude.
In our paper, we present an adjoint optimization code, based on a GPU implementation of the pseudo-spectral Navier--Stokes solver nspipe, which incorporates an automatic, optimal check-pointing strategy.
We leverage this code to show that the flow is susceptible to two distinct instability routes: One in the deceleration phase, where the flow is prone to oblique instabilities, and another during the acceleration phase with similar mechanisms as in steady pipe flow. Instability is energetically more likely in the deceleration phase. This dataset includes optimal perturbations, their corresponding energy growth over time and post-processing scripts.
Related to:
Keuchel, Patrick; Avila, Marc (2025): Nonlinear optimal perturbation growth in pulsatile pipe flow. Journal of Fluid Mechanics, 1024, A45, https://doi.org/10.1017/jfm.2025.10945
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Binary Object | Binary | Keuchel, Patrick | Numerical simulated | ||
| 2 | Binary Object (File Size) | Binary (Size) | Bytes | Keuchel, Patrick | Numerical simulated | |
| 3 | Figure | Fig | Keuchel, Patrick | Numerical simulated | ||
| 4 | Title | Title | Keuchel, Patrick | Numerical simulated | ||
| 5 | File name | File name | Keuchel, Patrick | Numerical simulated | ||
| 6 | Description | Description | Keuchel, Patrick | Numerical simulated |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
15 data points
Data
All files referred to in data matrix can be downloaded in one go as ZIP or TAR. Be careful: This download can be very large! To protect our systems from misuse, we require to sign up for an user account before downloading.
| 1 Binary | 2 Binary (Size) [Bytes] | 3 Fig | 4 Title | 5 File name | 6 Description |
|---|---|---|---|---|---|
| Postprocessing.zip | 35.4 MBytes | 1 - 14 | Python code and figure | Postprocessing.zip | Python and Matlab codes to reproduce the figures (and the figures) presented in the corresponding paper (Keuchel & Avila 2025) |
| ExampleCode.zip | 9.4 MBytes | 1 - 14 | nsPipe simulation code and example | ExampleCode.zip | nsPipe simulation code for optimisations and DNS including an example case. |
| Data.zip | 15 GBytes | 1 - 14 | Simulation data | Data.zip | Fourier coefficients of the velocity fields u_r, u_\theta and u_z of optimal perturbations and their cross sectionally integrated axial and cross sectional energy as a function of the axial coordinate and time for various (Re,Wo,A,tau_0,E_0). |
