Simulation of Diffraction Based on the Uncertainty Relation

Simulation von Schallbeugung basierend auf der Unschärferelation

URN urn:nbn:de:gbv:1373-opus-1167
URL
Dokumentart: Dissertation
Institut: Bauingenieurwesen
Hauptberichter: Stephenson, Uwe Martin (Prof. Dr. rer. nat.)
ISBN: 978-3-8442-9257-2
Sprache: Englisch
Tag der mündlichen Prüfung: 08.07.2013
Erstellungsjahr: 2014
Publikationsdatum:
SWD-Schlagwörter: Akustik , Beugung , Schallausbreitung
Freie Schlagwörter (Englisch): Acoustic, Diffraction, Uncertainty Relation, Sound Propagation
DDC-Sachgruppe: Physik

Kurzfassung auf Englisch:

In both room and city acoustics, the simulation of sound propagation is still challenging. The handling of diffraction is still topic of current research, especially the diffraction of higher orders. Due to the large scale of the environment compared to the typical wavelengths of sound, Geometrical Acoustic (GA) simulation methods are used rather than exact wave theoretical simulation methods. These GA methods handle sound as particles instead of waves (waveparticle dualism as known from optics). Based on this restriction, wave effects such as diffraction have to be modelled explicitly. In this work, a diffraction formulation called Uncertainty relation Based Diffraction (UBD) by Stephenson is investigated and extended. The UBD is based on Heisenbergs uncertainty relation and the Fraunhofer diffraction theory. The great advantage of this formulation is that the straight forward propagation technique of particles can be used and integrated as a module in the simulation. However, it will be shown that some assumptions of former publications are not well founded, such that alternative formulations are presented. Good agreements with the wave theoretical reference methods are shown in almost all cases. In addition to former publications, the UBD method is extended to 3D. Unfortunately, the usage of the UBD diffraction module causes a split-up of particles, such that the computation time increases exponentially. To overcome this split-up, the reunification of particles is aspired. Quantized Pyramidal Beam Tracing (QPBT) and the Sound Particle Radiosity (SPR) aim at this reunification. It will be shown that SPR is both more efficient and more accurate than QPBT. However, the memory effort of the SPR yields a major bottleneck. First optimizations to decrease the memory effort will be presented to overcome this issue.

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