Flow field detection using acoustic travel time tomography

Acoustic travel time tomography uses the dependence of sound speed on temperature and flow properties along the propagation path to measure these parameters. An algorithm is introduced that is capable of resolving the two-dimensional flow field within a specified measuring area. Different flow field...

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Bibliographic Details
Main Authors: Manuela Barth, Armin Raabe, Klaus Arnold, Christian Resagk, Ronald du Puits
Format: Article
Language:English
Published: Borntraeger 2007-08-01
Series:Meteorologische Zeitschrift
Online Access:http://dx.doi.org/10.1127/0941-2948/2007/0216
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author Manuela Barth
Armin Raabe
Klaus Arnold
Christian Resagk
Ronald du Puits
author_facet Manuela Barth
Armin Raabe
Klaus Arnold
Christian Resagk
Ronald du Puits
author_sort Manuela Barth
collection DOAJ
description Acoustic travel time tomography uses the dependence of sound speed on temperature and flow properties along the propagation path to measure these parameters. An algorithm is introduced that is capable of resolving the two-dimensional flow field within a specified measuring area. Different flow fields have been simulated to explore the reconstruction properties of the algorithm. Furthermore, an experiment within the Barrel of Ilmenau has been carried out, which demonstrates that the acoustic tomographic method is able to detect flow fields in a closed convection chamber. The simulations reveal that the vector tomographic algorithm can resolve the flow field characteristics speed and direction. Furthermore it is demonstrated that the distribution of sound sources and receivers has to be homogeneous around the measuring site. For the reconstruction of flow distributions, this requirement is even more important compared to temperature reconstructions, since information along inclined sound ray paths within each grid cell are needed to reconstruct the flow vector properly.
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spelling doaj.art-9fa66c97622b4c8d8bd197299efcdcf42024-02-02T14:47:19ZengBorntraegerMeteorologische Zeitschrift0941-29482007-08-0116444345010.1127/0941-2948/2007/021655996Flow field detection using acoustic travel time tomographyManuela BarthArmin RaabeKlaus ArnoldChristian ResagkRonald du PuitsAcoustic travel time tomography uses the dependence of sound speed on temperature and flow properties along the propagation path to measure these parameters. An algorithm is introduced that is capable of resolving the two-dimensional flow field within a specified measuring area. Different flow fields have been simulated to explore the reconstruction properties of the algorithm. Furthermore, an experiment within the Barrel of Ilmenau has been carried out, which demonstrates that the acoustic tomographic method is able to detect flow fields in a closed convection chamber. The simulations reveal that the vector tomographic algorithm can resolve the flow field characteristics speed and direction. Furthermore it is demonstrated that the distribution of sound sources and receivers has to be homogeneous around the measuring site. For the reconstruction of flow distributions, this requirement is even more important compared to temperature reconstructions, since information along inclined sound ray paths within each grid cell are needed to reconstruct the flow vector properly.http://dx.doi.org/10.1127/0941-2948/2007/0216
spellingShingle Manuela Barth
Armin Raabe
Klaus Arnold
Christian Resagk
Ronald du Puits
Flow field detection using acoustic travel time tomography
Meteorologische Zeitschrift
title Flow field detection using acoustic travel time tomography
title_full Flow field detection using acoustic travel time tomography
title_fullStr Flow field detection using acoustic travel time tomography
title_full_unstemmed Flow field detection using acoustic travel time tomography
title_short Flow field detection using acoustic travel time tomography
title_sort flow field detection using acoustic travel time tomography
url http://dx.doi.org/10.1127/0941-2948/2007/0216
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AT christianresagk flowfielddetectionusingacoustictraveltimetomography
AT ronalddupuits flowfielddetectionusingacoustictraveltimetomography