New algorithms for reduced memory and real-time noise prediction

Benjamin A. Goldman, Kenneth Steven Brentner

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The past few decades have seen the development of numerous aeroacoustic prediction codes. Algorithms based on the Lighthill acoustic analogy, and the Ffowcs Williams-Hawkings (FW-H) equation in particular, are now widely used in industry to predict the aeroacoustic field generated by aerospace vehicles and non-aerospace machinery. In a trend similar to the growth of cluster computing, the size and scale of aeroacoustic problems being computed with these codes has increased dramatically in recent years. A discussion of different algorithms to reduce memory and enable real-time noise prediction is presented. The results of a new data structure and computation algorithm recently implemented in the aeroacoustic prediction code PSU-WOPWOP are shown to significantly decrease the memory requirements - a useful outcome for large permeable surface computations. Only small changes to the algorithm are required to enable the real-time prediction of helicopter rotor noise.

Original languageEnglish (US)
Title of host publication18th AIAA/CEAS Aeroacoustics Conference (33rd AIAA Aeroacoustics Conference)
StatePublished - Dec 1 2012
Event18th AIAA/CEAS Aeroacoustics Conference 2012 (33rd AIAA Aeroacoustics Conference) - , United States
Duration: Jun 4 2012Jun 6 2012

Publication series

Name18th AIAA/CEAS Aeroacoustics Conference (33rd AIAA Aeroacoustics Conference)

Other

Other18th AIAA/CEAS Aeroacoustics Conference 2012 (33rd AIAA Aeroacoustics Conference)
CountryUnited States
Period6/4/126/6/12

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Mechanical Engineering
  • Acoustics and Ultrasonics

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