Validation of the stochastic inversion algorithm for acoustic travel-time tomography: a large eddy simulation study

Acoustic tomography (AT) is explored as a remote sensing technique to obtain instantaneous snapshots of temperature and velocity fluctuations for wind energy applications. This study integrates Large Eddy Simulation (LES) with the Stochastic Inversion (SI) method to validate the algorithm’s capacity...

Full description

Saved in:
Bibliographic Details
Published in:Journal of physics. Conference series 2024-06, Vol.2767 (4), p.42037
Main Authors: Maric, Emina, Hamilton, Nicholas, Quon, Eliot, Lee, Bumseok, Thedin, Regis
Format: Article
Language:English
Subjects:
Algorithms
Large eddy simulation
Remote sensing
Tomography
Travel time
Vortices
Wind power
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Acoustic tomography (AT) is explored as a remote sensing technique to obtain instantaneous snapshots of temperature and velocity fluctuations for wind energy applications. This study integrates Large Eddy Simulation (LES) with the Stochastic Inversion (SI) method to validate the algorithm’s capacity for accurate reconstruction of atmospheric fluctuations. The initial findings demonstrate the efficacy of the method in accurately capturing the predominant flow structures. Normalized L2 error evaluations further inform the algorithm’s precision, with errors accentuated in less sampled peripheral regions. The results underscore the method’s promise as a non-intrusive observational tool, with ongoing development poised to improve its precision and reliability.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2767/4/042037