In Part 8, the use of auto and cross-correlations was discussed, which are commonly used to gain an understanding of the relationship between random signals. For the final post in this series, I will discuss the use of two-point statistics using turbulent velocities or pressures.
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Jonathan Dudley Ph.D. Project Engineert:/ f:203.758.2914203.758.2965
Jonathan Dudley has 15 years of experience in computational and experimental fluid mechanics with emphasis on fundamental theory and application to the aerospace, biomedical and automotive industries. His areas of focus include turbulence modeling, aero-acoustics and flow control, chemically reacting flows, GPU computation, reduced order modeling and fluid-structure interaction. Jon’s responsibilities at CAE Associates include performing and managing computational fluid dynamics and thermal consulting projects. He also will be instructing ANSYS training classes and providing technical support for various ANSYS products.
Outside of the office, Jon likes to spend his time outdoors with his family, playing guitar and following sports. Jon has also taught Mechanical Engineering courses as an adjunct professor
Ph.D., Aerospace Engineering, University of Florida
Master of Science, Mechanical/Aerospace Engineering, University of Buffalo
Bachelor of Science,Mechanical/Aerospace Engineering, Rochester Institute of Technology
Recent Posts:May 31, 2016May 4, 2016
In Part 7 of this series, the use of Short-Time Fourier to obtain amplitude, time, and frequency content was discussed. This post will introduce to the concept of Cross-Correlation and will discuss some benefits of performing this type of analysis.
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