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| Natura: | Dataset Open Access |
| Lingua: | en |
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PANGAEA
2021
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| Accesso online: | https://doi.org/10.1594/PANGAEA.932173 |
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| _version_ | 1867169145733251072 |
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| author | Xu, Duo Song, Baofang Avila, Marc |
| author_facet | Xu, Duo Song, Baofang Avila, Marc |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | The data are obtained via an in-house Matlab script (developed by Dr. Baofang Song) to compute the non-modal transient growth of disturbances in pulsatile and oscillatory pipe flows. In this study, a Newtonian fluid driven by pulsatile and oscillatory flow rate flows in a straight pipe. In pulsatile flow, there are three governing parameters: steady Reynolds number (defined by the steady flow component), pulsation amplitude (ratio of oscillatory and steady flow component) and Womersley number (dimensionless pulsation and oscillation frequency). In oscillatory flow, due to vanishment of steady flow component, oscillatory Reynolds number (defined by the oscillation flow component) and Womersley number. The Reynolds number defined by the thickness of Stokes layer is alternatively used for the oscillatory Reynolds number. The study was carried out in a manner that one governing parameter varies while other governing parameters are fixed. The data file 'OptimalPerturbation_time_energy_classic.dat' shows the time series of the energy of the optimal classic perturbation. This file includes four columns: the first column indicates dimensionless time; the second column indicates the time normalized by period; the third column indicates the energy of the perturbation; the fourth column indicates the energy of the perturbation normalized by the energy at the initial perturbation time. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_932173 |
| institution | PANGAEA |
| language | en |
| publishDate | 2021 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Optimal perturbation (classic, Re=2000,A=1,Wo=15): energy components time series Xu, Duo Song, Baofang Avila, Marc Dimensionless time; Energy of the perturbation, E(t); Energy of the perturbation normalized by the energy at the initial perturbation time, E(t)/E(t0); FLUID_SIMULATION_MODELING; Fluid Simulation Modeling; FSM; Model simulation; nonlinear instability; Time by pulsation period; transition to turbulence The data are obtained via an in-house Matlab script (developed by Dr. Baofang Song) to compute the non-modal transient growth of disturbances in pulsatile and oscillatory pipe flows. In this study, a Newtonian fluid driven by pulsatile and oscillatory flow rate flows in a straight pipe. In pulsatile flow, there are three governing parameters: steady Reynolds number (defined by the steady flow component), pulsation amplitude (ratio of oscillatory and steady flow component) and Womersley number (dimensionless pulsation and oscillation frequency). In oscillatory flow, due to vanishment of steady flow component, oscillatory Reynolds number (defined by the oscillation flow component) and Womersley number. The Reynolds number defined by the thickness of Stokes layer is alternatively used for the oscillatory Reynolds number. The study was carried out in a manner that one governing parameter varies while other governing parameters are fixed. The data file 'OptimalPerturbation_time_energy_classic.dat' shows the time series of the energy of the optimal classic perturbation. This file includes four columns: the first column indicates dimensionless time; the second column indicates the time normalized by period; the third column indicates the energy of the perturbation; the fourth column indicates the energy of the perturbation normalized by the energy at the initial perturbation time. |
| title | Optimal perturbation (classic, Re=2000,A=1,Wo=15): energy components time series |
| topic | Dimensionless time; Energy of the perturbation, E(t); Energy of the perturbation normalized by the energy at the initial perturbation time, E(t)/E(t0); FLUID_SIMULATION_MODELING; Fluid Simulation Modeling; FSM; Model simulation; nonlinear instability; Time by pulsation period; transition to turbulence |
| url | https://doi.org/10.1594/PANGAEA.932173 |