5 research outputs found

    Towards an Airframe Noise Prediction Methodology: Survey of Current Approaches

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    In this paper, we present a critical survey of the current airframe noise (AFN) prediction methodologies. Four methodologies are recognized. These are the fully analytic method, CFD combined with the acoustic analogy, the semi-empirical method and fully numerical method. It is argued that for the immediate need of the aircraft industry, the semi-empirical method based on recent high quality acoustic database is the best available method. The method based on CFD and the Ffowcs William- Hawkings (FW-H) equation with penetrable data surface (FW-Hpds ) has advanced considerably and much experience has been gained in its use. However, more research is needed in the near future particularly in the area of turbulence simulation. The fully numerical method will take longer to reach maturity. Based on the current trends, it is predicted that this method will eventually develop into the method of choice. Both the turbulence simulation and propagation methods need to develop more for this method to become useful. Nonetheless, the authors propose that the method based on a combination of numerical and analytical techniques, e.g., CFD combined with FW-H equation, should also be worked on. In this effort, the current symbolic algebra software will allow more analytical approaches to be incorporated into AFN prediction methods

    Regional atrophy associated with cognitive and motor function in prodromal Huntington disease.

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    Characterization of depression in prodromal Huntington disease in the neurobiological predictors of HD (PREDICT-HD) study.

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    A randomized, double-blind, placebo-controlled study of latrepirdine in patients with mild to moderate huntington disease: HORIZON investigators of the huntington study group and european huntington's disease network

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