Extended aeroacoustic spanwise correction method for the aerodynamic noise prediction of large-span objects
| العنوان: | Extended aeroacoustic spanwise correction method for the aerodynamic noise prediction of large-span objects |
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| المؤلفون: | Weijie Chen, Kangshen Xiang, Liangfeng Wang, Fan Tong, Weiyang Qiao |
| المصدر: | Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering. 237:660-671 |
| بيانات النشر: | SAGE Publications, 2022. |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | Mechanical Engineering, Aerospace Engineering |
| الوصف: | In a numerical study, a shorter span extent than experiment is often used to save the computational resource. The predicted sound pressure level should be corrected before compared with the experimental results. This study concerns the extended aeroacoustic spanwise correction method for the noise prediction radiated from large-span objects. Four new types of spanwise correction models are derived based on the assumption of the spanwise coherence function taking the form of a rectangular function, a trigonometric function, a Laplacian function and a Gaussian function, respectively. The large eddy simulation (LES) combined with the acoustic analogy theory is used for the aerodynamic noise prediction. The predicted far-field sound levels are then corrected by the proposed spanwise correction methods for the large-span objects. Far-field acoustic measurements and near-field hot-wire measurements are also performed in an anechoic wind tunnel for validation purpose. The predicted aerodynamic and aeroacoustic results are found in good agreement with the experiments with the proposed spanwise correction method. The present models based on the Laplacian function and Gaussian function are unified models taking the advantage of that there is no need to compare the relative extent of the numerical length, experimental length, and coherence length. The results also indicate that although there is no significant difference between the various functions, corrections based on the Gaussian profile seem to perform better compared with other functions. |
| تدمد: | 2041-3025 0954-4100 |
| DOI: | 10.1177/09544100221107251 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::9a3b1a834e8456c28b484c1375a334f4 https://doi.org/10.1177/09544100221107251 |
| Rights: | CLOSED |
| رقم الانضمام: | edsair.doi...........9a3b1a834e8456c28b484c1375a334f4 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 20413025 09544100 |
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| DOI: | 10.1177/09544100221107251 |