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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Ketcham, S.A., Parker, M.W., Cudney, H.H., and Wilson, D.K.: Scattering of Urban Sound Energy from High-Performance Computations. DoD High Performance Computing Modernization Program Users Group Conference, IEEE Computer Society, pp. 341–348 (2008).
Cudney, H.H., Ketcham, S.A., and Parker, M.W.: Verification of Acoustic Propagation Over Natural and Synthetic Terrain. DoD High Performance Computing Modernization Program Users Group Conference, IEEE Computer Society, pp. 247–252 (2007).
Ho, B.L., Kalman, R.E.: Effective Construction of Linear State-Variable Models from Input–Output Functions. Regelungstechnik, 14, 545–548 (1966).
Juang, J.-N., Pappa, R.S.: An Eigensystem Realization Algorithm for Modal Parameter Identification and Model Reduction. Journal of Guidance, Control, and Dynamics, 8, 620–627 (1985).
Juang, J.-N., Cooper, J.E., Wright, J.R.: An Eigensystem Realization Algorithm Using Data Correlations (ERA/DC) for Modal Parameter Identification. Control Theory and Advanced Technology, 4, No. 1, 5–14 (1988).
Juang, J.-N.: Applied System Identification. Prentice-Hall, Upper Saddle River, NJ (2001).
Phan, M.Q., Ketcham, S.A., Darling, R.S., Cudney, H.H.: Superstable State-Space Representation for Large-Domain Wave Propagation. Proceedings of the 4th International Conference on High Performance Scientific Computing, Hanoi, Vietnam (2009).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-642-25707-0_15
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25706-3
Online ISBN: 978-3-642-25707-0
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)