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Artificial Intelligence-based Aeroacoustic Theories and Research Trends
- Issue Date
- Sep-2022
- Publisher
- Korean Society of Mechanical Engineers
- Keywords
- Acoustic Analogy; Aeroacoustics; Artificial Intelligence; Fluid-Structure-Acoustic Interaction(FSAI); Machine Learning
- Citation
- Transactions of the Korean Society of Mechanical Engineers, B, v.46, no.9, pp.481 - 492
- Indexed
- SCOPUS
KCI
- Volume
- 46
- Number
- 9
- Start Page
- 481
- End Page
- 492
- ISSN
- 1226-4881
- Abstract
- Efforts to efficiently analyze flow-induced noise have been made for a long time, but slow development has been made due to the difficulty of theoretical identification due to complex interactions and the limitation of the high cost of experiments. Therefore, the basic theory and research trends of FSAI, and cases of AI applications and plans were presented in this study. Starting with Lighthill's acoustic analogy, the theoretical approach was summarized Curle's theory, and Ffowcs Williams and Hawkings equation. It is expected that the application of AI techniques, which have been rapidly developing in recent years, to aeroacoustics will supplement the limitations and suggest new problem solutions. © 2022 The Korean Society of Mechanical Engineers.
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Related Researcher
- KIM, YOUN JEA
- Engineering (Mechanical Engineering)