کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1723101 | 1014756 | 2008 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Application of a modified quick scheme to depth-averaged κ-É turbulence model based on unstructured grids
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی دریا (اقیانوس)
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Application of a modified quick scheme to depth-averaged κ-É turbulence model based on unstructured grids Application of a modified quick scheme to depth-averaged κ-É turbulence model based on unstructured grids](/preview/png/1723101.png)
چکیده انگلیسی
The modified QUICK scheme on unstructured grid was used to improve the advection flux approximation, and the depth-averaged κ-É turbulence model with the scheme based on FVM by SIMPLE series algorithm was established and applied to spur-dike flow computation. In this model, the over-relaxed approach was adopted to estimate the diffusion flux in view of its advantages in reducing errors and sustaining numerical stability usually encountered in non-orthogonal meshes. Two spur-dike cases with different defection angles (90° and 135°) were analyzed to validate the model. Computed results show that the predicted velocities and recirculation lengths are in good agreement with the observed data. Moreover, the computations on structured and unstructured grids were compared in terms of the approximately equivalent grid numbers. It can be concluded that the precision with unstructured grids is higher than that with structured grids in spite that the CPU time required is slightly more with unstructured grids. Thus, it is significant to apply the method to numerical simulation of practical hydraulic engineering.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Hydrodynamics, Ser. B - Volume 20, Issue 4, August 2008, Pages 514-523
Journal: Journal of Hydrodynamics, Ser. B - Volume 20, Issue 4, August 2008, Pages 514-523
نویسندگان
Zu-lin HUA, Ling-hang XING, Li GU,