Authors Yu. V. Mirgorodskaya, M. V. Bernavskaya, L. G. Statsenko, A. A. Chusov, N. A. Cherkasova
Month, Year 06, 2018 @en
Index UDC 534.231+004.415.22
Abstract The paper proposes a tool for analyzing the acoustic field created by various sound sources in a random room. This tool is based on the author"s implementation algorithm and object model defined by objects, classes and their interactions in accordance with the UML2.5 specification and can be used to create automated systems for modeling the acoustic characteristics of the premises. The model was considered by the authors in previous works. This paper provides a new implementation algorithm. It supports the method of parallel-distributed modeling, the most important property of which is the parallelization of individual tasks for execution on different processors for increasing performance and accuracy of calculations. This algorithm forms the basis of an experimental instance of the CAMaaS (Computer-Aided Modeling as a Service) software environment developed under the Federal Target Program “Research and Development of Highly Parallel Algorithmic Software and Modeling Methods and Their Implementation for High-Performance Software and Hardware Platforms”. The sample is based on a high-performance software and hardware system, hardware represented in the form of a distributed four-cluster platform, with symmetric multiprocessing and multi-core, as well as with CUDA solvers. For approbation of the instrument, numerical calculations and field measurements of the acoustic characteristics of the room were performed. The measurements were performed by certified equipment in accordance with the requirements of ISO 3382-1-2013. The conference hall of the Far Eastern Federal University was chosen as the object of research. The results of the experiment showed that deviations from the optimal reverberation time are 14.3–26.5 % at different points in the conference room under study, which does not meet accepted standards and leads to a deterioration in speech intelligibility. It has been defined that the experimental instance has an exponential dependence of the consumed resources on the depth of the secondary sources taken into account, which may make it possible to apply the presented object model for the implementation of software for modeling physical fields of any complexity.

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Keywords The object model; architectural acoustics; computer Modelling; language UML2.5.
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