國立虎尾科技大學 |

Analysis of non-stationary flows using Eulerian and Lagrangian frameworks.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Analysis of non-stationary flows using Eulerian and Lagrangian frameworks./
作者:	Rosi, Giuseppe Antonio.
面頁冊數:	1 online resource (198 pages)
附註:	Source: Dissertation Abstracts International, Volume: 75-01C.
Contained By:	Dissertation Abstracts International75-01C.
標題:	Mechanical engineering. -
電子資源:	click for full text (PQDT)

Analysis of non-stationary flows using Eulerian and Lagrangian frameworks.
Rosi, Giuseppe Antonio.

Analysis of non-stationary flows using Eulerian and Lagrangian frameworks. - 1 online resource (198 pages)

Source: Dissertation Abstracts International, Volume: 75-01C.

Thesis (Ph.D.)

Includes bibliographical references

Recent developments have made researchers to reconsider Lagrangian measurement techniques as an alternative to their Eulerian counterpart when investigating non-stationary flows. This thesis advances the state-of-the-art of Lagrangian measurement techniques by pursuing three different objectives: (i) developing new Lagrangian measurement techniques for difficult-to-measure, in situ flow environments; (ii) developing new post-processing strategies designed for unstructured Lagrangian data, as well as providing guidelines towards their use; and (iii) presenting the advantages that the Lagrangian framework has over their Eulerian counterpart in various non-stationary flow problems. Towards the first objective, a large-scale particle tracking velocimetry apparatus is designed for atmospheric surface layer measurements. Towards the second objective, two techniques, one for identifying Lagrangian Coherent Structures (LCS) and the other for characterizing entrainment directly from unstructured Lagrangian data, are developed. Finally, towards the third objective, the advantages of Lagrangian-based measurements are showcased in two unsteady flow problems: the atmospheric surface layer, and entrainment in a non-stationary turbulent flow. Through developing new experimental and post-processing strategies for Lagrangian data, and through showcasing the advantages of Lagrangian data in various non-stationary flows, the thesis works to help investigators to more easily adopt Lagrangian-based measurement techniques.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

Subjects--Topical Terms:

557493
Mechanical engineering.
Index Terms--Genre/Form:

554714
Electronic books.

Analysis of non-stationary flows using Eulerian and Lagrangian frameworks.
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500 $a Source: Dissertation Abstracts International, Volume: 75-01C.
502 $a Thesis (Ph.D.) $c Queen's University (Canada) $d 2017.
504 $a Includes bibliographical references
520 $a Recent developments have made researchers to reconsider Lagrangian measurement techniques as an alternative to their Eulerian counterpart when investigating non-stationary flows. This thesis advances the state-of-the-art of Lagrangian measurement techniques by pursuing three different objectives: (i) developing new Lagrangian measurement techniques for difficult-to-measure, in situ flow environments; (ii) developing new post-processing strategies designed for unstructured Lagrangian data, as well as providing guidelines towards their use; and (iii) presenting the advantages that the Lagrangian framework has over their Eulerian counterpart in various non-stationary flow problems. Towards the first objective, a large-scale particle tracking velocimetry apparatus is designed for atmospheric surface layer measurements. Towards the second objective, two techniques, one for identifying Lagrangian Coherent Structures (LCS) and the other for characterizing entrainment directly from unstructured Lagrangian data, are developed. Finally, towards the third objective, the advantages of Lagrangian-based measurements are showcased in two unsteady flow problems: the atmospheric surface layer, and entrainment in a non-stationary turbulent flow. Through developing new experimental and post-processing strategies for Lagrangian data, and through showcasing the advantages of Lagrangian data in various non-stationary flows, the thesis works to help investigators to more easily adopt Lagrangian-based measurement techniques.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Mechanical engineering. $3 557493
655 7 $a Electronic books. $2 local $3 554714
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710 2 $a Queen's University (Canada). $3 1148613
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