2008
DOI: 10.21236/ada479069
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A CAA Primer for Practicing Engineers

Abstract: The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to Department of Defense, Washington Headquarters Services, Directorate for I… Show more

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Cited by 4 publications
(2 citation statements)
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“…For standard high-order central spatial discretizations, well-known summation-by-part (SBP) stable boundary operators are readily available for non-periodic physical boundary conditions. DRP methods [74,75] were designed for computational acoustics. DRP methods can be provided with SBP stable boundary operators similar to standard-centered discretizations.…”
Section: High-order Non-dissipative Linear Spatial Discretizationsmentioning
confidence: 99%
“…For standard high-order central spatial discretizations, well-known summation-by-part (SBP) stable boundary operators are readily available for non-periodic physical boundary conditions. DRP methods [74,75] were designed for computational acoustics. DRP methods can be provided with SBP stable boundary operators similar to standard-centered discretizations.…”
Section: High-order Non-dissipative Linear Spatial Discretizationsmentioning
confidence: 99%
“…We can also use aeroacoustics principles to calculate noise radiation from unsteady aerodynamic sources. [15][16][17][18][19] Since wind-turbine noise can affect the health and quality of life of nearby residents and animal populations, for widespread growth of wind turbine farms to be feasible, we must optimize blade designs for flow characteristics and minimum noise under various conditions, including gusting.…”
Section: How Can We Reduce Noise Levels?mentioning
confidence: 99%