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Analysis of non-stationary flows usi...
~
Rosi, Giuseppe Antonio.
Analysis of non-stationary flows using Eulerian and Lagrangian frameworks.
Record Type:
Language materials, manuscript : Monograph/item
Title/Author:
Analysis of non-stationary flows using Eulerian and Lagrangian frameworks./
Author:
Rosi, Giuseppe Antonio.
Description:
1 online resource (198 pages)
Notes:
Source: Dissertation Abstracts International, Volume: 75-01C.
Contained By:
Dissertation Abstracts International75-01C.
Subject:
Mechanical engineering. -
Online resource:
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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Analysis of non-stationary flows using Eulerian and Lagrangian frameworks.
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1 online resource (198 pages)
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2017.
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Includes bibliographical references
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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.
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Ann Arbor, Mich. :
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ProQuest,
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2018
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Mode of access: World Wide Web
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Mechanical engineering.
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click for full text (PQDT)
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