| Home > Publications database > Transition and acoustic excitation of stenotic pipe flows at different Reynolds numbers > print |
| 001 | 912543 | ||
| 005 | 20221214131527.0 | ||
| 037 | _ | _ | |a FZJ-2022-05716 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Abdelsamie, A. |0 P:(DE-HGF)0 |b 0 |e Corresponding author |
| 111 | 2 | _ | |a Direct and Large-Eddy Simulation |g DLES13 |c Udine |d 2022-10-26 - 2022-10-28 |w Italy |
| 245 | _ | _ | |a Transition and acoustic excitation of stenotic pipe flows at different Reynolds numbers |
| 260 | _ | _ | |c 2022 |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a Other |2 DataCite |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a LECTURE_SPEECH |2 ORCID |
| 336 | 7 | _ | |a Conference Presentation |b conf |m conf |0 PUB:(DE-HGF)6 |s 1670938589_31169 |2 PUB:(DE-HGF) |x After Call |
| 520 | _ | _ | |a A human respiratory system consists of phonation components that are coupled in a complex manner in order to ensure various vital functions, in particular voice generation.The interdisciplinary nature of the processes controlling sound generation complicates the analysis. Analytical studies are limited and can only be used to characterize the main acoustic sources in connection to various types of fluid motion.Numerical investigations of sound generation require an accurate simulation of the flow field with a proper representation of the respiratory pathways and process conditions in order to get the acoustic source terms. Furthermore, voice formation is closelyrelated to the resonance of acoustic modes in and around the mouth cavity; in order to be able to model this properly, it is essential to identify first the sound sources excited within the vocal tract.To better elucidate this complex process, the fundamental mechanisms in a biofluid flow mimicking such configurations were investigated based on a simplified stenotic pipe using high-resolution DNS and LES. |
| 536 | _ | _ | |a 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) |0 G:(DE-HGF)POF4-5111 |c POF4-511 |f POF IV |x 0 |
| 700 | 1 | _ | |a Koh, Seong-Ryong |0 P:(DE-Juel1)176474 |b 1 |
| 700 | 1 | _ | |a Janiga, G. |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Thévenin, D. |0 P:(DE-HGF)0 |b 3 |
| 909 | C | O | |o oai:juser.fz-juelich.de:912543 |p VDB |
| 910 | 1 | _ | |a University of Magdeburg |0 I:(DE-HGF)0 |b 0 |6 P:(DE-HGF)0 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)176474 |
| 910 | 1 | _ | |a University of Magdeburg |0 I:(DE-HGF)0 |b 2 |6 P:(DE-HGF)0 |
| 910 | 1 | _ | |a University of Magdeburg |0 I:(DE-HGF)0 |b 3 |6 P:(DE-HGF)0 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action |1 G:(DE-HGF)POF4-510 |0 G:(DE-HGF)POF4-511 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Enabling Computational- & Data-Intensive Science and Engineering |9 G:(DE-HGF)POF4-5111 |x 0 |
| 914 | 1 | _ | |y 2022 |
| 920 | _ | _ | |l no |
| 920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
| 980 | _ | _ | |a conf |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
| 980 | _ | _ | |a UNRESTRICTED |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|