東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Direct numerical simulation of super...

City University of New York., Engineering.

FindBook

Google Book

Amazon

博客來

Direct numerical simulation of superfluid turbulence.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Direct numerical simulation of superfluid turbulence./
作者:	Morris, Karla.
面頁冊數:	93 p.
附註:	Advisers: Joel Koplik; Damian Rouson.
Contained By:	Dissertation Abstracts International69-09B.
標題:	Engineering, Mechanical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3330496
ISBN:	9780549845102

Direct numerical simulation of superfluid turbulence.
Morris, Karla.

Direct numerical simulation of superfluid turbulence. - 93 p.

Advisers: Joel Koplik; Damian Rouson.

Thesis (Ph.D.)--City University of New York, 2008.

At low temperatures, as quantum effects become increasingly apparent, helium (He4) transforms into a superfluid. The motion of superfluid helium (He II) can be decomposed into two interpenetrating components: (1) an inviscid (superfluid) liquid containing line vortices with quantized circulation and (2) a (normal fluid) gas of elementary thermal excitations. At sufficiently high driving velocities, the motion of He II becomes unstable and transitions to turbulence, commonly termed superfluid turbulence or quantum turbulence. A growing body of empirical evidence suggests that the macroscopic statistical behavior of quantum turbulence closely matches that of classical turbulence despite considerable differences in the physics at the mesoscopic scale of the inter-vortex spacing and the microscopic scale of the vortex core diameters [47,50]. Although a commonly used phenomenology involving quantum-vortex/normal-vortex locking has achieved some success in explaining the macroscopic similarities, current laboratory measurements lack sufficient spatial resolution to verify vortex locking. The work presented here investigates the detailed mechanisms underlying quantum turbulence via direct numerical simulations (DNS) of superfluid vortex interactions with interpenetrating normal fluid turbulence. The driving fluid is the normal component which behaves as a statistically homogeneous isotropic turbulent flow, and both forced and decaying cases are simulated. The data obtained from the simulation is analyzed using wavelet transforms and velocity correlations. The normal fluid calculation employs a Navier-Stokes (NS) solver developed by Rouson and Xu [31] in a manner that facilitates rapid integration of new physics by expressing dynamical equations in forms very closely mirroring their analytical expression. The superfluid calculation employs a vortex filament method originated by Schwarz [39,40,41]. The Navier-Stokes and vortex filament equations are marched in time using a software module developed by Rouson, Morris and Xu [33] which facilitates rapid implementation of time advancement algorithms for coupled multi-physics problems.

ISBN: 9780549845102Subjects--Topical Terms:

783786
Engineering, Mechanical.

Direct numerical simulation of superfluid turbulence.
LDR:03247nmm 2200337 a 45 001 867516
005 20100804
008 100804s2008 ||||||||||||||||| ||eng d
020 $a 9780549845102
035 $a (UMI)AAI3330496
035 $a AAI3330496
040 $a UMI $c UMI
100 1 $a Morris, Karla. $3 1036254
245 1 0 $a Direct numerical simulation of superfluid turbulence.
300 $a 93 p.
500 $a Advisers: Joel Koplik; Damian Rouson.
500 $a Source: Dissertation Abstracts International, Volume: 69-09, Section: B, page: 5486.
502 $a Thesis (Ph.D.)--City University of New York, 2008.
520 $a At low temperatures, as quantum effects become increasingly apparent, helium (He4) transforms into a superfluid. The motion of superfluid helium (He II) can be decomposed into two interpenetrating components: (1) an inviscid (superfluid) liquid containing line vortices with quantized circulation and (2) a (normal fluid) gas of elementary thermal excitations. At sufficiently high driving velocities, the motion of He II becomes unstable and transitions to turbulence, commonly termed superfluid turbulence or quantum turbulence. A growing body of empirical evidence suggests that the macroscopic statistical behavior of quantum turbulence closely matches that of classical turbulence despite considerable differences in the physics at the mesoscopic scale of the inter-vortex spacing and the microscopic scale of the vortex core diameters [47,50]. Although a commonly used phenomenology involving quantum-vortex/normal-vortex locking has achieved some success in explaining the macroscopic similarities, current laboratory measurements lack sufficient spatial resolution to verify vortex locking. The work presented here investigates the detailed mechanisms underlying quantum turbulence via direct numerical simulations (DNS) of superfluid vortex interactions with interpenetrating normal fluid turbulence. The driving fluid is the normal component which behaves as a statistically homogeneous isotropic turbulent flow, and both forced and decaying cases are simulated. The data obtained from the simulation is analyzed using wavelet transforms and velocity correlations. The normal fluid calculation employs a Navier-Stokes (NS) solver developed by Rouson and Xu [31] in a manner that facilitates rapid integration of new physics by expressing dynamical equations in forms very closely mirroring their analytical expression. The superfluid calculation employs a vortex filament method originated by Schwarz [39,40,41]. The Navier-Stokes and vortex filament equations are marched in time using a software module developed by Rouson, Morris and Xu [33] which facilitates rapid implementation of time advancement algorithms for coupled multi-physics problems.
590 $a School code: 0046.
650 4 $a Engineering, Mechanical. $3 783786
650 4 $a Physics, Condensed Matter. $3 1018743
650 4 $a Physics, Fluid and Plasma. $3 1018402
690 $a 0548
690 $a 0611
690 $a 0759
710 2 $a City University of New York. $b Engineering. $3 1018405
773 0 $t Dissertation Abstracts International $g 69-09B.
790 $a 0046
790 1 0 $a Andreopoulos, Yiannis $e committee member
790 1 0 $a Birman, Joseph $e committee member
790 1 0 $a Koplik, Joel, $e advisor
790 1 0 $a Rouson, Damian, $e advisor
790 1 0 $a Watkins, Charles $e committee member
791 $a Ph.D.
792 $a 2008
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3330496