Experimental data, Green's function correction code and numerical setups used in Wave propagation modelling approach for improved assessment of the acoustic field in closed test section wind tunnels

This dataset contains experimental acoustic data recorded in a Low Turbulence wind Tunnel (LTT) 2020 campaign. This data was collected with a phased-microphone array. The goal of the campaign was to investigate the influence of reflections and any acoustic disturbances (such as background noise) on the accuracy of the acoustic results. Numerical acoustic simulations were run to predict the acoustic response of the wind tunnel test section. Based on the results from the numerical simulations, the post-processing of experimental acoustic data was improved, by correcting the Green's function used in Beamforming. The numerical setups, the numerical results and the MATLAB code used to calculate the Green's function correction are included in this dataset.This experimental data, numerical simulations and post-processing code provide the basis for the results of the publication: Mourão Bento, H. F., et. al. Wave propagation modelling approach for improved assessment of the acoustic field in closed test section wind tunnels. Journal of Sound and Vibration (2025).The numerical setups can be opened with COMSOL Multiphysics software.This dataset includes:<strong>dataset_main.7z:</strong> COMSOL acoustic numerical setups and their results. Post-processing MATLAB code to calculate a Green's function correction from the numerical acoustic data.<strong>LTT_experimental_data.7z</strong>: Experimental phased-microphone array acoustic data collected during the LTT campaign.<strong>README File:</strong> This file provides an overview of the content of the folder, explanation of the data format, and the relevant context for understanding the dataset. This file also contains citation guidelines

本数据集包含2020年低湍流风洞（Low Turbulence wind Tunnel, LTT）试验项目中录制的实验声学数据。该数据通过相控麦克风阵列（phased-microphone array）采集。本试验项目的核心目标为探究反射波与各类声学干扰（如背景噪声）对声学结果精度的影响。研究人员开展了数值声学模拟，以预测风洞试验段的声学响应。基于数值模拟结果，通过校正波束成形（Beamforming）中使用的格林函数（Green's function），优化了实验声学数据的后处理流程。本数据集涵盖数值仿真设置、数值结果以及用于计算格林函数校正项的MATLAB代码。本实验数据、数值仿真结果与后处理代码为下述发表论文的研究成果提供了支撑：Mourão Bento, H. F. 等人. 用于优化闭式试验段风洞声场评估的波传播建模方法[J]. 声振学报（Journal of Sound and Vibration）, 2025. 数值仿真设置可通过COMSOL Multiphysics软件打开。本数据集包含以下内容：<strong>dataset_main.7z：</strong>COMSOL声学数值仿真设置及其结果，以及用于从数值声学数据中计算格林函数校正项的后处理MATLAB代码。<strong>LTT_experimental_data.7z：</strong>LTT试验项目中采集的相控麦克风阵列实验声学数据。<strong>README文件：</strong>本文件概述了数据集的文件夹内容、数据格式说明以及理解本数据集所需的相关背景信息，同时包含引用规范。