Streamwise Wavenumber-Frequency Pressure Spectra for Smooth Wall Boundary Layers in Reynolds Number and Pressure Gradient Flow Conditions

This dataset includes flow conditions, boundary layer parameters, and wall pressure measurements obtained from a turbulent boundary layer experiment conducted over a smooth wall under varying pressure gradients. The measurements were performed using a combination of pointwise microphones and a novel sub-resonant sensor array. The dataset consists of measurements from turbulent boundary layer flows at high Reynolds numbers (6870 < Re_theta < 15,460 and low Mach numbers (0.043 < M < 0.11). The flow conditions include both adverse and favorable mild pressure gradients, characterized by Clause parameter (beta) in the range −0.84 < beta < 0.68. The boundary layer was studied on the wind tunnel sidewall while a NACA0012 airfoil in the test section induced different pressure gradients by varying its angle of attack. For each of the five flow conditions (three Reynolds numbers and three pressure gradient cases, with one common case), the dataset contains: auto-spectral density of fluctuating wall pressure, cross-spectral density function, streamwise wavenumber-frequency spectrum, relevant flow, and boundary layer parameters. The dataset was collected using an in-house developed sensor array, specifically designed to capture sub-convective wall pressure fluctuations with high resolution. Details on the design and development of the array are documented in the referenced PhD dissertation. This dataset is primarily associated with the PhD dissertation: "Measurement and Analysis of Sub-Convective Pressure Fluctuations in Turbulent Boundary Layers: A Novel Methodology." Portions of this research have been published in conference articles, including: "The Characteristics of Sub-Convective Wall Pressure Fluctuations in a Turbulent Boundary Layer" (DOI: 10.2514/6.2024-1904) and "Evaluating Models for Sub-Convective Pressure Fluctuations in Turbulent Boundary Layers" (DOI: 10.2514/6.2024-3048). A note on how this data differs from the data presented in the conference articles is described in the README file associated with the data package. For any inquiries or further details, please refer to the dissertation or contact the corresponding author.