کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
519378 867660 2010 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A lagged implicit segregated data reconstruction procedure to treat open boundaries
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
A lagged implicit segregated data reconstruction procedure to treat open boundaries
چکیده انگلیسی

The problem of treating open boundaries is still a challenging one. Applying fully developed condition is constrained to long enough domains. Without having enough physical evidence about what happens on boundaries, the domain extent could not be shortened and computational costs could not be reduced. From the advent of free (open) boundary conditions, they were confined to mixed finite element procedures. Recent works have extended their application to coupled finite volume solvers based on the shape function data reconstruction. A wider class of flow solvers available, however, rely on the segregated procedure where the velocity components and pressure are solved in succession. Moreover, many finite volume algorithms do not use the shape function reconstruction. In this work, by proposing a lagged implicit procedure, we have extended the application of the open boundary condition to these wider classes of flow solvers. The proposed extension is a combination of lagged implicit data reconstruction and overall mass conservation enforcement, which is easily applicable to any segregated and coupled flow solver. To validate the compatibility of this extension, benchmark problem of backward facing step is solved on successively truncated domains, where open boundary may pass through recirculation zones. Results show that the proposed extension works fine. For that problem, it reduced the computational domain length (and hence memory) by a factor of 4.6 and the required computational time by a factor of 21. Flow passing a cylinder is also solved which proves that the method could be applied to external flow problems as well.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Computational Physics - Volume 229, Issue 14, 20 July 2010, Pages 5418–5431
نویسندگان
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