Optimal growth as function of t_f (Re=2000,A=2.4,Wo=15)

DOI

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 'time_TG_A2.4.dat' shows the time series of the maximum energy amplification for the Reynolds number of 2000, the amplitude of 2.4 and the Womersley number of 15.This file includes three columns: the first column indicates the time; the second column indicates the time normalized by the pulsation period; the third column indicates maximum energy amplification.

(Re,A,Wo)=(2000,2.40,15.00)VARIABLES = "time", "time/T", "max(G)|time"ZONE T="enveloped TG", I=15000, J=1

Identifier
DOI https://doi.org/10.1594/PANGAEA.949160
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.949160
Provenance
Creator Xu, Duo ORCID logo; Song, Baofang ORCID logo; Avila, Marc ORCID logo
Publisher PANGAEA
Publication Year 2022
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 45000 data points
Discipline Earth System Research