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Ugur Karban
Ugur Karban
Post-doctoral researcher, Middle East Technical University
Verified email at metu.edu.tr
Title
Cited by
Cited by
Year
Ambiguity in mean-flow-based linear analysis
U Karban, B Bugeat, E Martini, A Towne, AVG Cavalieri, L Lesshafft, ...
Journal of Fluid Mechanics 900, R5, 2020
142020
Tailored Green's functions for the prediction of the noise generated by single and tandem diaphragms in a circular duct
U Karban, C Schram, C Sovardi, W Polifke
Acta Acustica united with Acustica 102 (5), 779-792, 2016
62016
Noise produced by a tandem diaphragm: experimental and numerical investigations
U Karban, G Ogus, K Kucukcoskun, CF Schram, C Sovardi, W Polifke
20th AIAA/CEAS aeroacoustics conference, 3225, 2014
62014
Self-similar mechanisms in wall turbulence studied using resolvent analysis
U Karban, E Martini, AVG Cavalieri, L Lesshafft, P Jordan
Journal of Fluid Mechanics 939, 2022
32022
Prediction of ducted diaphragm noise using a stochastic approach with adapted temporal filters
U Karban, C Schram, C Sovardi, W Polifke
International Journal of Aeroacoustics 18 (1), 49-72, 2019
32019
Hybrid Methods for the Prediction of the Noise Radiated by a Mach 0.5 Ducted Orifice Flow
Z Jardon, U Karban, J Christophe, CF Schram
2018 AIAA/CEAS Aeroacoustics Conference, 3929, 2018
12018
Modal identification of aeroacoustic systems using passive and active approaches
U Karban, C Schram
The Journal of the Acoustical Society of America 142 (6), 3804-3812, 2017
12017
Solutions to aliasing in time-resolved flow data
U Karban, E Martini, P Jordan, GA Brès, A Towne
arXiv preprint arXiv:2204.10048, 2022
2022
An empirical model of noise sources in subsonic jets, formulated in a linear resolvent framework
U Karban, B Bugeat, A Agarwal, L Lesshafft, P Jordan
28th AIAA/CEAS Aeroacoustics 2022 Conference, 2933, 2022
2022
Scale-resolved and stochastic approaches for noise prediction in flow duct singularities
U Karban
Technische Universität München, 2017
2017
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