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dc.contributor.author | Nagib, Hassan | es_ES |
dc.contributor.author | Vinuesa, Ricardo | es_ES |
dc.contributor.author | Hoyas, S | es_ES |
dc.date.accessioned | 2024-09-27T18:08:31Z | |
dc.date.available | 2024-09-27T18:08:31Z | |
dc.date.issued | 2024-07 | es_ES |
dc.identifier.issn | 1070-6631 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/208939 | |
dc.description.abstract | [EN] Indicator functions of the streamwise normal-stress profiles (NSP), based on careful differentiation of some of the best direct numerical simulations (DNS) data from channel and pipe flows, over the range 550 < Re-tau < 16 000, are examined to establish the existence and range in wall distances of either a logarithmic-trend segment or a 1/4-power region. For nine out of 15 cases of DNS data we examined where Re-tau < 2000, the NSP did not contain either of the proposed trends. As Re-tau exceeds around 2000 a 1/4-power, reflecting the "bounded-dissipation" predictions of Chen and Sreenivasan ["Law of bounded dissipation and its consequences in turbulent wall flows," J. Fluid Mech. 933, A20 (2022); "Reynolds number asymptotics of wall-turbulence fluctuations," J. Fluid Mech. 976, A21 (2023)] and data analysis of Monkewitz ["Reynolds number scaling and inner-outer overlap of stream-wise Reynoldss stress in wall turbulence," arXiv:2307.00612 (2023)], develops near y(+) = 1000 and expands with Reynolds numbers extending to 1000 < y(+) < 10 000 for Re-tau around 15 000. This range of 1/4-power NSP corresponds to a range of outer-scaled Y between around 0.3 and 0.7. The computational database examined did not include the zero-pressure-gradient boundary layer experiments at higher Reynolds numbers where the logarithmic trend in the NSP has been previously reported around y(+) of 1000 by Marusic et al. ["Attached eddy model of wall turbulence," Annu. Rev. Fluid Mech. 51, 49-74 (2019); "The logarithmic variance of streamwise velocity and conundrum in wall turbulence," J. Fluid Mech. 933, A8 (2022)] according to a "wall-scaled eddy model." (c) 2024 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). | es_ES |
dc.description.sponsorship | SH was funded by project No. PID2021-128676OB-I00 by MCIN/AEI/10.13039/501100011033 and by "ERDF A way of making Europe," by the European Union (SH). RV acknowledges the financial support from ERC Grant No. 2021-CoG-101043998, DEEPCONTROL. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | American Institute of Physics | es_ES |
dc.relation.ispartof | Physics of Fluids | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject | Fluid mechanics | es_ES |
dc.subject | Computational fluid dynamics | es_ES |
dc.subject | Boundary layer flow | es_ES |
dc.subject | Turbulent flows | es_ES |
dc.subject.classification | INGENIERIA AEROESPACIAL | es_ES |
dc.title | Utilizing indicator functions with computational data to confirm nature of overlap in normal turbulent stresses: Logarithmic or quarter-power | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1063/5.0219031 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-128676OB-I00/ES/REVELANDO LA TURBULENCIA DE PARED/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/HE/101043998/EU/Discovering novel control strategies for turbulent wings through deep reinforcement learning/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.description.bibliographicCitation | Nagib, H.; Vinuesa, R.; Hoyas, S. (2024). Utilizing indicator functions with computational data to confirm nature of overlap in normal turbulent stresses: Logarithmic or quarter-power. Physics of Fluids. 36(7). https://doi.org/10.1063/5.0219031 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1063/5.0219031 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 36 | es_ES |
dc.description.issue | 7 | es_ES |
dc.relation.pasarela | S\525244 | es_ES |
dc.contributor.funder | European Commission | es_ES |
dc.contributor.funder | Agencia Estatal de Investigación | es_ES |
dc.contributor.funder | European Regional Development Fund | es_ES |