Alexander Pohl Pohl Simulation of Diffraction Based on the Uncertainty Relation

Simulation of Diffraction Based on the Uncertainty Relation

von Alexander Pohl

An Efficient Simulation Method Combining Higher Order Diffractions and Reflections

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Beschreibung

Simulation of Diffraction Based on the Uncertainty Relation
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 Heisenberg's 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.

Autor*in

Alexander Pohl
Alexander Pohl studierte von 2003 bis 2008 an der RWTH in Aachen Elektrotechnik und Informationstechnik. In der Zeit von 2009 bis 2014 war er an der HafenCity Universität Hamburg als wissenschaftlicher Mitarbeiter tätig und promovierte zum Thema "Simulation of Diffraction Based on the Uncertainty Relation".

Themen in »Simulation of Diffraction Based on the Uncertainty Relation«

geometrical acoustics sound propagation diffraction uncertainty relation

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Details

ISBN: 9783844292572
Verlag: epubli
Erscheinung: 17.04.2014

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