Simulation of turbulent boundary layer wall pressure fluctuations
Abstract
A Monte Carlo simulation of an unsteady, twodimensional wall pressure field has been developed. The simulation has been evaluated in terms of the statistical properties measured in a variety of turbulent boundary layer experiments and the results are generally in good agreement. Since identifical pressure histories can be created using simulations, it has been possible to investigate the influence of receiver area (or microphone size) on the statistical measurements of identical pressure histories. Based on these simulations, it was possible to conclude that the root mean square pressure levels increase in a quasi linear manner as the receiver size decreases. The trend is in substantial agreement with the experiments of Bull and Thomas, but the threshold of the diameter effect and the magnitude of the r.m.s. increase may be controlled by flow phenomena that are either ignored or improperly simulated. The power spectra are insensitive to receiver size in the energy containing frequency interval. Twopoint correlations first show higher correlations with decreasing receiver size, then show poorer correlations as the receiver size becomes small enough to sense fine scale phenomena. The authors believe this simulation computer program can be valuable in studying the response of complex or nonlinear structures to quasirandom wall pressure fields. The ability to adjust resolution and simulated flow conditions arbitrarily make it a flexible tool in the analyzing and designing fluidstructural systems.
 Publication:

Final Report
 Pub Date:
 August 1985
 Bibcode:
 1985odu..rept.....A
 Keywords:

 Boundary Layer Flow;
 Computerized Simulation;
 Fluid Pressure;
 Monte Carlo Method;
 Pressure Distribution;
 Turbulent Boundary Layer;
 Boundary Layers;
 Dimensional Measurement;
 Evaluation;
 Flow Measurement;
 Linear Systems;
 Microphones;
 Nonlinear Systems;
 Performance Tests;
 Power Spectra;
 Pressure Distribution;
 Pressure Measurement;
 Random Variables;
 Statistical Correlation;
 Wall Pressure;
 Fluid Mechanics and Heat Transfer