Xu, Duo; Song, Baofang; Avila, Marc (2021): Raw simulation data, source code and results from non-modal transient growth of disturbances in pulsatile and oscillatory pipe flows [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.929202
Always quote citation above when using data! You can download the citation in several formats below.
Published: 2021-03-16 • DOI registered: 2022-12-31
Abstract:
Laminar flows through pipes driven at steady, pulsatile or oscillatory rates undergo a subcritical transition to turbulence. We carry out an extensive linear non-modal stability analysis of these flows and show that for sufficiently high pulsation amplitudes the stream-wise vortices of the classic lift-up mechanism are outperformed by helical disturbances exhibiting an Orr-like mechanism. In oscillatory flow, the energy amplification depends solely on the Reynolds number based on the Stokes-layer thickness, and for sufficiently high oscillation frequency and Reynolds number, axisymmetric disturbances dominate. In the high-frequency limit, these axisymmetric disturbances are exactly similar to those recently identified by Biau (J. Fluid Mech., vol. 794, 2016, R4) for oscillatory flow over a flat plate. In all regimes of pulsatile and oscillatory pipe flow, the optimal helical and axisymmetric disturbances are triggered in the deceleration phase and reach their peaks in typically less than a period. Their maximum energy gain scales exponentially with Reynolds number of the oscillatory flow component. Our numerical computations unveil a plausible mechanism for the turbulence observed experimentally in pulsatile and oscillatory pipe flow.
Related to:
Xu, Duo; Song, Baofang; Avila, Marc (accepted): Non-modal transient growth of disturbances in pulsatile and oscillatory pipe flows. Journal of Fluid Mechanics, 907, https://doi.org/10.1017/jfm.2020.940
Source:
Xu, Duo; Song, Baofang; Avila, Marc (2021): Optimal perturbation (classic, Re=2000,A=1,Wo=15): energy components time series [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.932173
Xu, Duo; Song, Baofang; Avila, Marc (2021): Optimal perturbation (classic, Re=2000,A=1,Wo=15): snapshot axial velocity t=t0 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.932539
Xu, Duo; Song, Baofang; Avila, Marc (2021): Optimal perturbation (classic, Re=2000,A=1,Wo=15): snapshot axial velocity t=tf [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.932540
Xu, Duo; Song, Baofang; Avila, Marc (2021): Optimal perturbation (classic, Re=2000,A=1,Wo=15): snapshot axial vorticity t=t0 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.932546
Xu, Duo; Song, Baofang; Avila, Marc (2021): Optimal perturbation (classic, Re=2000,A=1,Wo=15): snapshot axial vorticity t=tf [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.932547
Xu, Duo; Song, Baofang; Avila, Marc (2021): Optimal perturbation (classic, Re=2000,A=1,Wo=15): Time series of the r-theta-z-components contributions to the kinetic energy and enstrophy [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.929197
Xu, Duo; Song, Baofang; Avila, Marc (2021): Optimal perturbation (classic, Re=2000,A=1,Wo=15): u_z profile t=t0 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.932551
Xu, Duo; Song, Baofang; Avila, Marc (2021): Optimal perturbation (classic, Re=2000,A=1,Wo=15): u_z profile t=tf [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.932552
Xu, Duo; Song, Baofang; Avila, Marc (2021): Optimal perturbation (helical, Re=2000,A=1,Wo=15): kinetic energy components time series [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.932177
Xu, Duo; Song, Baofang; Avila, Marc (2021): Optimal perturbation (helical, Re=2000,A=1,Wo=15): snapshot axial velocity t=t0 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.932542
Xu, Duo; Song, Baofang; Avila, Marc (2021): Optimal perturbation (helical, Re=2000,A=1,Wo=15): snapshot axial velocity t=tf [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.932544
Xu, Duo; Song, Baofang; Avila, Marc (2021): Optimal perturbation (helical, Re=2000,A=1,Wo=15): snapshot axial vorticity t=t0 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.932548
Xu, Duo; Song, Baofang; Avila, Marc (2021): Optimal perturbation (helical, Re=2000,A=1,Wo=15): snapshot axial vorticity t=tf [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.932549
Xu, Duo; Song, Baofang; Avila, Marc (2021): Optimal perturbation (helical, Re=2000,A=1,Wo=15): Time series of the r-theta-z-components contributions to the kinetic energy and enstrophy [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.929362
Xu, Duo; Song, Baofang; Avila, Marc (2021): Optimal perturbation (helical, Re=2000,A=1,Wo=15): u_z profile t=t0 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.932553
Xu, Duo; Song, Baofang; Avila, Marc (2021): Optimal perturbation (helical, Re=2000,A=1,Wo=15): u_z profile t=tf [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.932554
Xu, Duo; Song, Baofang; Avila, Marc (2022): Optimal growth (classic, Re=2000,A=1,Wo=15): time series for selected t0 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.949055
Xu, Duo; Song, Baofang; Avila, Marc (2022): Optimal growth (helical, Re=2000,A=1,Wo=15): time series for selected t0 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.949057
Xu, Duo; Song, Baofang; Avila, Marc (2022): Optimal growth (Re=2000,A=1,Wo=15): value of TG as function to and tf (computed) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.949070
Xu, Duo; Song, Baofang; Avila, Marc (2022): Optimal growth (Re=2000,A=1,Wo=15): value of TG as function to and tf (interpolated to plot) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.949072
Xu, Duo; Song, Baofang; Avila, Marc (2022): Optimal growth as function of A (Re=2000,Wo=10) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.949155
Xu, Duo; Song, Baofang; Avila, Marc (2022): Optimal growth as function of A (Re=2000,Wo=15) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.949156
Xu, Duo; Song, Baofang; Avila, Marc (2022): Optimal growth as function of A (Re=2000,Wo=20) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.949159
Xu, Duo; Song, Baofang; Avila, Marc (2022): Optimal growth as function of Re (A=1,Wo=15) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.949136
Xu, Duo; Song, Baofang; Avila, Marc (2022): Optimal growth as function of Re (A=1,Wo=25) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.949138
Xu, Duo; Song, Baofang; Avila, Marc (2022): Optimal growth as function of t_f (Re=2000,A=2.4,Wo=15) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.949160
Xu, Duo; Song, Baofang; Avila, Marc (2022): Optimal growth as function of t_f (Re=2000,A=2.6,Wo=15) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.949161
Xu, Duo; Song, Baofang; Avila, Marc (2022): Optimal growth as function of Wo (Re_o=8000,A=infty) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.949208
Xu, Duo; Song, Baofang; Avila, Marc (2022): Optimal growth as function of Wo (Re=2000,A=1) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.949203
Xu, Duo; Song, Baofang; Avila, Marc (2022): Optimal growth as function of Wo (Re=2000,A=4) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.949206
Xu, Duo; Song, Baofang; Avila, Marc (2022): Optimal growth envelope (Re=2000,A=1,Wo=15) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.948575
Xu, Duo; Song, Baofang; Avila, Marc (2022): Optimal growth, t_f, t_0 and wavenumber as function of Re_δ (Re_o=8000,A=infty) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.951292
Xu, Duo; Song, Baofang; Avila, Marc (2022): Optimal growth, t_f, t_0 and wavenumber as function of Re_δ (Wo=10,A=infty) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.951293
Xu, Duo; Song, Baofang; Avila, Marc (2022): Optimal growth, t_f, t_0 and wavenumber as function of Re_δ (Wo=15,A=infty) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.951299
Xu, Duo; Song, Baofang; Avila, Marc (2022): Optimal growth, t_f, t_0 and wavenumber as function of Re_δ (Wo=20,A=infty) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.951300
Xu, Duo; Song, Baofang; Avila, Marc (2022): Optimal perturbation (Wo=10, Re_δ=530): snapshots in a (z,r)-cross-section [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.951252
Xu, Duo; Song, Baofang; Avila, Marc (2022): Optimal perturbation (Wo=15, Re_δ=530): snapshots in a (z,r)-cross-section [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.951291
Xu, Duo; Song, Baofang; Avila, Marc (2022): Optimal t_f and t_0 as function of A (Re=2000,Wo=15) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.949151
Xu, Duo; Song, Baofang; Avila, Marc (2022): Optimal t_f and t_0 as function of Re (A=1,Wo=15) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.949076
Xu, Duo; Song, Baofang; Avila, Marc (2022): Optimal t_f and t_0 as function of Wo(Re=2000,A=1) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.949218
Xu, Duo; Song, Baofang; Avila, Marc (2022): Optimal wavenumber as function of A (Re=2000,Wo=10) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.949163
Xu, Duo; Song, Baofang; Avila, Marc (2022): Optimal wavenumber as function of A (Re=2000,Wo=15) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.949165
Xu, Duo; Song, Baofang; Avila, Marc (2022): Optimal wavenumber as function of A (Re=2000,Wo=20) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.949166
Xu, Duo; Song, Baofang; Avila, Marc (2022): Optimal wavenumber as function of Re (A=1,Wo=15) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.949143
Xu, Duo; Song, Baofang; Avila, Marc (2022): Optimal wavenumber as function of Re (A=1,Wo=25) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.949144
Xu, Duo; Song, Baofang; Avila, Marc (2022): Optimal wavenumber as function of Wo (Re_o=8000,A=infty) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.949214
Xu, Duo; Song, Baofang; Avila, Marc (2022): Optimal wavenumber as function of Wo (Re=2000,A=1) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.949210
Xu, Duo; Song, Baofang; Avila, Marc (2022): Optimal wavenumber as function of Wo (Re=2000,A=4) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.949212
Xu, Duo; Song, Baofang; Avila, Marc (2022): Optimal wavenumber envelope (Re=2000,A=1,Wo=15) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.949058
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC) * Processing Level: PANGAEA data processing level 2 (ProcLevel2)
Size:
503.5 MBytes
