Modelling of Wall Pressure Fluctuations Induced by Turbulent Boundary Layer Flow

Semi-empirical models are used to predict the power spectral density of wall pressure fluctuations in the turbulent boundary layer. From the analysis of current semi-empirical models and a large survey of experimental data, it was found that the models proposed by Goody and Smol'yakov have the lowest mean squared error when predicting the power spectral density for wind tunnel experiments. The Rackl and Weston model has the lowest mean squared error when predicting the power spectral density for flight test data. Current advancements in power spectral density wall pressure fluctuation prediction have expanded the range of experiments that can be predicted to include adverse pressure gradient flows, however, favourable pressure gradient flows have not received much attention. An experiment was performed to capture the effects of the favourable pressure gradient on the power spectral density. A model was created to improve upon some of the limitations of existing models.

Name thesis:degree_name

Master of Applied Science (M.App.Sc.)

Level thesis:degree_level

Master's

Discipline thesis:degree_discipline

Engineering, Aerospace

Grantor dc:publisher

Carleton University

Year dc:date.issued

2022

Author dc:creator

• Thomson, Nicholas Graedon

Statement dc:rights

• Copyright © 2022 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.

Language dc:language.iso

en

DOI

10.22215/etd/2021-14855

OAI identifier oai:identifier

oai:carleton.scholaris.ca:20.500.14718/42285