Gerald Plassman

Resident at MS 461, Langley Research Center

Research Interests

·         Engineering: 

o    Acoustic Simulation and Imaging

o    Thermal Protection Systems

o    Structural Design.

·         Numerical Methods:

o    Optimization

o    Linear Systems

o    Statistical Analysis

o    Differential Equations.

·         High Performance Computing:

o    Math Libraries

o    Parallel Processing

o    Scalable Algorithms.

Current Research

Develop and apply deconvolution methods for quantifying and characterizing moving non-coherent and coherent noise sources in both subsonic and supersonic jet exhaust plumes based on acoustic signal acquisition with two-dimensional microphone array in varied flow-external position and orientation relative to the noise source. Recent focal points include; the investigation of source scanning grid extent and resolution requirements and array response blending techniques for optimizing the extraction of shock cell characteristics in supersonic flows, the characterization of flow shear layer correction method effectiveness and calibration noise source based techniques for its improvement by the conditioning of array response derived test noise source cross spectral representation, and selective application of an effective coherent noise deconvolution algorithm variant.

Publications

• Plassman, G. E.; Mall, G. H.; and J. R. Quagliano: “Linear Multivariable Regression Models for Prediction of Eddy Dissipation Rate from Available Meteorological Data”, NASA CR-2005-213504, July 2005.
• Plassman, G. E.; “A Survey of Singular Value Decomposition Methods and Performance Comparison of Some Available Serial Codes”, NASA CR-2005-213500, July 2005.
• Plassman, G. E.: “TPS-it Version 2.1 Code Final Report” (2004 draft Contractor Report)
• Plassman, G. E. and Sobieszczanski-Sobieski, J.: “Experience with a genetic algorithm implemented on a multi-processor computer”, Structural and Multidisciplinary Optimization, Vol. 22, No. 2, Sept. 2001.
• Plassman, G. E. and Sobieszczanski-Sobieski, J.: “Experience with a genetic algorithm implemented on a multi-processor computer”, AIAA Paper 2000-4844, Sept. 2000.