کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10356033 | 867598 | 2014 | 27 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Application of a shock-fitted spectral collocation method for computing transient high-speed inviscid flows over a blunt nose
ترجمه فارسی عنوان
استفاده از یک روش جابجایی طیفی با استفاده از شوک برای محاسبه جریانهای غیرمستقیم با سرعت بالا بر روی یک حفره بینی
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کلمات کلیدی
تعامل شوک / اختلال، جریانهای با سرعت بالا، بینی بتونی، روش های طیفی،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
چکیده انگلیسی
Interaction of freestream disturbances with high-speed inviscid flow over a blunt nose is simulated utilizing a shock-fitted spectral collocation method. The unsteady flow computations are made through solving the 2D Euler equations by virtue of such a dissipation-free numerical algorithm for precise unsteady flow simulations. A shock-fitting technique is employed to accurately compute the unsteady shock motions and its interaction with monochromatic freestream disturbances of different conditions. A symmetry condition is proposed to accurately model the both steady and unsteady characters of the symmetry boundary, which allows the use of halved geometries and avoids the extra computational cost. The computational results for a cylinder at Mach 8.03 are presented and verified through comparisons with other numerical and promising analytical solutions. The stagnation line where the most energetic interactions take place is inspected carefully. The study shows the significant influence of the shock on its subsequent flow field in unsteady simulations and notable ability of the shock-fitted spectral collocation method implemented for the study of such problems.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Computational Physics - Volume 257, Part A, 15 January 2014, Pages 954-980
Journal: Journal of Computational Physics - Volume 257, Part A, 15 January 2014, Pages 954-980
نویسندگان
Mehdi Najafi, Kazem Hejranfar, Vahid Esfahanian,