Efren Fernandez Grande from our Acoustic Technology group has been granted with one of the individual post-doc grants by the Danish Council for Independent Research (Technology and production sciences - FTP), for a two year post-doctoral study.
Effective tools for noise source identification
This project proposes to study and develop new methods for identifying and effectively diagnosing the noise emitted by complicated sound sources, based on wavenumber processing, acoustical array measurements and numerical modeling. The far-field radiation of sound sources is the ultimate concern in noise-control problems, because it is the quantity that an observer is typically exposed to. However, although identification methods from near-field data are essential to study the noise processes in detail, they are not necessarily representative of the energy that the source radiates into the far-field. It is the motivation of this project to develop and examine new tools that can overcome this limitation and can thus address the noise problem effectively. In short, these tools will make it possible to identify and rank the parts of a noise source that are responsible for the perceived noise emission, so that the adequate measures can be taken to solve the noise problem.