Extended-resolution acoustic imaging of low-frequency sources based on nonlinear interaction Seminar

Acoustic imaging is to identify the locations and strengths of the sound sources to allow for analysing the noise generation mechanisms. However, the resolution is often dependent on the frequency of interest. It is known that the low-frequency sound sources are difficult to be distinguished because of the large wavelength, challenging the understanding of the related acoustic physics.

We proposed an extended-resolution acoustic imaging method by introducing a high-frequency incident wave to the target sound field. Because of the nonlinear interaction between different components, additional sound waves will be produced, based on which the low-frequency target sources are computed. Moreover, the wavelengths of the induced sound waves are short, allowing for high-resolution acoustic imaging. In this talk, the idea of the method will be introduced. Numerical and experimental examples will be presented to demonstrate the capability of the proposed method in identifying sound sources within a separation distance much smaller than the wavelength.

Speaker External: Dr Siyang Zhong (Hong Kong University of Science and Technology)

Dr Siyang Zhong is a Research Assistant Professor in the Department of Mechanical and Aerospace Engineering (MAE) at The Hong Kong University of Science and Technology with a Junior Fellowship at the HKUST Institute for Advanced Study (IAS). He studied at Peking University from 2007 to 2014 for BSc (in Mechanics) and MEng (in Control theory). Dr Zhong worked as an associate engineer at the Shanghai Aircraft Design Institute of COMAC in 2014. He did his PhD study in mechanical engineering at MAE of HKUST from 2015 to 2018. His research interest is aeroacoustics. Now, he is interested in the low-noise and sustainable aviation of urban air mobility vehicles and the high-resolution acoustic imaging methods. In 2021, he was appointed as the national expert to develop the ISO standard for noise assessment of unmanned aircraft systems (UAS).

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