Interactive Computational Algorithms for Acoustic Simulation in Complex Environments
Abstract
The objective of this project is to develop new interactive algorithms for acoustic simulation. The proposed research includes development of accurate numerical methods for the wave equation, fast solutions based on sound field decomposition or geometric propagation, and development of hybrid numeric/geometric solutions.. These include efficient acoustic simulation of low- and medium-frequency ranges using adaptive rectangular decomposition and use of ray-frustum tracing and visibility computations for geometric propagation. We will also develop parallel algorithms that can exploit the parallel capabilities of current multi-core CPUs and many-core GPUs for fast computations. We will use these algorithms for immersive acoustic simulation for urban and other complex propagation environments. The PIs will also collaborate with Stephen Ketcham and Keith Wilson at USACE and transition the resulting technology to Army and DoD applications. Moreover, resulting technology will also be applicable to other direct battlefied applications including battle planning on the operational scale of a brigade combat team, real-time source localization and camera pointing from acoustic arrays on aerostats, and dynamic routing of surveillance aircraft such as helicopters and UAVs to minimize audibility.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 19, 2015
- Accession Number
- ADA626430
Entities
People
- Dinesh Manocha
- Ming C. Lin
Organizations
- University of North Carolina at Chapel Hill