Abstract
This paper presents a computationally efficient version of the Eigensystem Realization Algorithm (ERA) to model the dynamics of large-domain acoustic propagation from High Performance Computing (HPC) data. This adaptation of the ERA permits hundreds of thousands of output signals to be handled at a time. Once the ERA-derived reduced-order models are obtained, they can be used for future simulation of the propagation accurately without having to go back to the HPC model. Computations that take hours on a massively parallel high performance computer can now be carried out in minutes on a laptop computer.
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© 2012 Springer-Verlag Berlin Heidelberg
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Ketcham, S.A., Phan, M.Q., Cudney, H.H. (2012). Reduced-Order Wave-Propagation Modeling Using the Eigensystem Realization Algorithm. In: Bock, H., Hoang, X., Rannacher, R., Schlöder, J. (eds) Modeling, Simulation and Optimization of Complex Processes. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25707-0_15
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DOI: https://doi.org/10.1007/978-3-642-25707-0_15
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