FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2106750892> ?p ?o ?g. }

• W2106750892 endingPage "510" @default.
• W2106750892 startingPage "488" @default.
• W2106750892 abstract "The radial distribution function (RDF, a statistical measure of preferential concentration), and the relative velocity measured along the line-of-centres of two particles are the key statistical inputs to the collision kernel for finite-inertia particles suspended in a turbulent flow Sundaram & Collins ( J. Fluid Mech ., vol. 335, 1997, p. 75). In this paper, we investigate the behaviour of these two-particle statistics using direct numerical simulation (DNS) of homogeneous isotropic turbulence. While it is known that the RDF for particles of any Stokes number ( St ) decreases with separation distance Sundaram & Collins ( J. Fluid Mech ., vol. 335, 1997, p. 75), Reade & Collins ( Phys. Fluids , vol. 12, 2000, p. 2530), Salazar et al . ( J. Fluid Mech ., vol. 600, 2008, p. 245), we observe that the peak in the RDF versus St curve shifts to higher St as we increase the separation distance. Here, St is defined as the ratio of the particle's viscous relaxation time to the Kolmogorov time-scale of the flow. Furthermore, as found in a previous study Wang, Wexler, & Zhou ( J. Fluid Mech ., vol. 415, 2000, p. 117), the variance of the radial relative velocity ( w r ) is found to increase monotonically with increasing separation distance and increasing Stokes number; however, we show for the first time that the parameteric variation of the skewness of w r with St and r /η is qualitatively similar to that of the RDF, and points to a connection between the two. We then apply low-pass filters (using three different filter scales) on the DNS velocity field in wavenumber space in order to produce ‘perfect’ large-eddy simulation (LES) velocity fields without any errors associated with subgrid-scale modelling. We present visual evidence of the effect of sharp-spectral filtering on the flow structure and the particle field. We calculate the particle statistics in the filtered velocity field and find that the RDF decreases with filtering at low St and increases with filtering at high St , similar to Fede & Simonin ( Phys. Fluids , vol. 18, 2006, p. 045103). We also find that the variation of the RDF with St shifts towards higher St with filtering at all separation distances. The variance of w r is found to decrease with filtering for all St and separation distances, but the skewness of w r shows a non-monotonic response to filtering that is qualitatively similar to the RDF. We consider the variation of the RDF and moments of w r with filter scale and find that they are approximately linear in the inertial range. We demonstrate that a simple model consisting of a redefinition of the St based on the time-scale of the filtered velocity field cannot recover the unfiltered statistics. Our findings provide insight on the effect of subgrid-scale eddies on the RDF and w r , and establish the requirements of a LES model for inertial particles that can correctly predict clustering and collisional behaviour." @default.
• W2106750892 created "2016-06-24" @default.
• W2106750892 creator A5022599737 @default.
• W2106750892 creator A5029617260 @default.
• W2106750892 date "2011-06-06" @default.
• W2106750892 modified "2023-09-23" @default.
• W2106750892 title "Preferential concentration and relative velocity statistics of inertial particles in Navier–Stokes turbulence with and without filtering" @default.
• W2106750892 cites W119819753 @default.
• W2106750892 cites W1512491416 @default.
• W2106750892 cites W1971921672 @default.
• W2106750892 cites W1981115560 @default.
• W2106750892 cites W1996483103 @default.
• W2106750892 cites W1999959343 @default.
• W2106750892 cites W2008145845 @default.
• W2106750892 cites W2008240691 @default.
• W2106750892 cites W2008602228 @default.
• W2106750892 cites W2011586317 @default.
• W2106750892 cites W2011697307 @default.
• W2106750892 cites W2014127846 @default.
• W2106750892 cites W2021132569 @default.
• W2106750892 cites W2021625645 @default.
• W2106750892 cites W2024660615 @default.
• W2106750892 cites W2034737780 @default.
• W2106750892 cites W2039424312 @default.
• W2106750892 cites W2043492001 @default.
• W2106750892 cites W2044665398 @default.
• W2106750892 cites W2053617231 @default.
• W2106750892 cites W2053996479 @default.
• W2106750892 cites W2059313042 @default.
• W2106750892 cites W2067531718 @default.
• W2106750892 cites W2072928045 @default.
• W2106750892 cites W2074447412 @default.
• W2106750892 cites W2082773426 @default.
• W2106750892 cites W2085509202 @default.
• W2106750892 cites W2086127461 @default.
• W2106750892 cites W2089442232 @default.
• W2106750892 cites W2092627740 @default.
• W2106750892 cites W2092956521 @default.
• W2106750892 cites W2100712935 @default.
• W2106750892 cites W2100868184 @default.
• W2106750892 cites W2108573151 @default.
• W2106750892 cites W2117227348 @default.
• W2106750892 cites W2123781417 @default.
• W2106750892 cites W2131836398 @default.
• W2106750892 cites W2133732254 @default.
• W2106750892 cites W2136822411 @default.
• W2106750892 cites W2138522572 @default.
• W2106750892 cites W2149415783 @default.
• W2106750892 cites W2153699166 @default.
• W2106750892 cites W2156629893 @default.
• W2106750892 cites W2163358828 @default.
• W2106750892 cites W2166534037 @default.
• W2106750892 cites W2170776983 @default.
• W2106750892 cites W3104192332 @default.
• W2106750892 cites W323536346 @default.
• W2106750892 doi "https://doi.org/10.1017/jfm.2011.174" @default.
• W2106750892 hasPublicationYear "2011" @default.
• W2106750892 type Work @default.
• W2106750892 sameAs 2106750892 @default.
• W2106750892 citedByCount "46" @default.
• W2106750892 countsByYear W21067508922012 @default.
• W2106750892 countsByYear W21067508922013 @default.
• W2106750892 countsByYear W21067508922014 @default.
• W2106750892 countsByYear W21067508922016 @default.
• W2106750892 countsByYear W21067508922017 @default.
• W2106750892 countsByYear W21067508922018 @default.
• W2106750892 countsByYear W21067508922019 @default.
• W2106750892 countsByYear W21067508922020 @default.
• W2106750892 countsByYear W21067508922021 @default.
• W2106750892 countsByYear W21067508922022 @default.
• W2106750892 countsByYear W21067508922023 @default.
• W2106750892 crossrefType "journal-article" @default.
• W2106750892 hasAuthorship W2106750892A5022599737 @default.
• W2106750892 hasAuthorship W2106750892A5029617260 @default.
• W2106750892 hasConcept C105795698 @default.
• W2106750892 hasConcept C121332964 @default.
• W2106750892 hasConcept C122342681 @default.
• W2106750892 hasConcept C182748727 @default.
• W2106750892 hasConcept C18533594 @default.
• W2106750892 hasConcept C196558001 @default.
• W2106750892 hasConcept C24692054 @default.
• W2106750892 hasConcept C2779251355 @default.
• W2106750892 hasConcept C33923547 @default.
• W2106750892 hasConcept C56498450 @default.
• W2106750892 hasConcept C57879066 @default.
• W2106750892 hasConcept C74650414 @default.
• W2106750892 hasConceptScore W2106750892C105795698 @default.
• W2106750892 hasConceptScore W2106750892C121332964 @default.
• W2106750892 hasConceptScore W2106750892C122342681 @default.
• W2106750892 hasConceptScore W2106750892C182748727 @default.
• W2106750892 hasConceptScore W2106750892C18533594 @default.
• W2106750892 hasConceptScore W2106750892C196558001 @default.
• W2106750892 hasConceptScore W2106750892C24692054 @default.
• W2106750892 hasConceptScore W2106750892C2779251355 @default.
• W2106750892 hasConceptScore W2106750892C33923547 @default.
• W2106750892 hasConceptScore W2106750892C56498450 @default.
• W2106750892 hasConceptScore W2106750892C57879066 @default.
• W2106750892 hasConceptScore W2106750892C74650414 @default.

• next