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Proper orthogonal decomposition and cluster weighted modeling for sensitivity analysis of sound propagation in the atmospheric surface layer
J. Acoust. Soc. Am. Volume 122, Issue 3, pp. 1374-1390 (2007); (17 pages)
© 2007 Acoustical Society of America
ACKNOWLEDGMENTS
Article Outline
- INTRODUCTION
- Uncertainty quantification and validation of computational acoustics models
- Sensitivity analysis of sound propagation
- CONSTRUCTION OF REDUCED ORDER MODELS FOR SOUND PRESSURE FIELDS
- Physics model
- Latin hypercube sampling
- Proper orthogonal decomposition of the sound pressure field
- Reduced order models from cluster weighted approximations
- SOUND PRESSURE REALIZATIONS
- Sampling the sound pressure in parameter space
- POD modes of the sound pressure
- SENSITIVITY ANALYSIS OF REDUCED ORDER MODELS FOR SOUND PRESSURE FIELDS
- Sensitivities from Latin hypercube samples
- Empirical observations from scatter plots of POD coefficients
- Models for interpolating POD coefficients
- Sensitivity of the sound pressure field
- General observations
- Effects of upwind and downwind propagation on sensitivities
- Estimation of extreme sensitivities
- Errors caused by poor local sampling of parameters in the original ensemble
- Possible importance of parameter correlation
- SUMMARY AND CONCLUSIONS
RELATED DATABASES
KEYWORDS and PACS
ARTICLE DATA
Accepted 13 Jun 2007
Revised 04 Jun 2007
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