DocumentCode
3271468
Title
Conformal adaptive hexahedral-dominant mesh generation for CFD simulation in architectural design applications
Author
Zhang, Rui ; Lam, Khee Poh ; Zhang, Yongjie
Author_Institution
Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear
2011
fDate
11-14 Dec. 2011
Firstpage
928
Lastpage
942
Abstract
Mesh generation is a critical and probably the most manually intensive step in CFD simulations in the architectural domain. One essential feature is the large span of dimensional scales that is encountered in design, particularly if the model aims to simulate indoor and outdoor conditions concurrently, e.g., site at the magnitude of kilometers while building elements at the magnitude of centimeters. In addressing the challenge this paper presents an approach to generate adaptive hexahedral-dominate meshes for CFD simulations in sustainable architectural design applications. Uniform all-hexahedral meshes and adaptive hexahedral-dominant meshes are both generated for natural ventilation simulation of a proposed retrofit building in Philadelphia. Simulation results show that adaptive hexahedral-dominate meshes generate very similar results of air change rate in the space due to natural ventilation, compared to all-hexahedral meshes yet with up to 90% reduction in number of elements in the domain, hence improve computation efficiency.
Keywords
architecture; computational fluid dynamics; mesh generation; ventilation; CFD simulation; adaptive hexahedral-dominant meshes; architectural design applications; building elements; conformal adaptive hexahedral-dominant mesh generation; indoor conditions; outdoor conditions; retrofit building; sustainable architectural design application; uniform all-hexahedral meshes; ventilation simulation; Adaptation models; Buildings; Computational fluid dynamics; Geometry; Mesh generation; Octrees; Solid modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Conference (WSC), Proceedings of the 2011 Winter
Conference_Location
Phoenix, AZ
ISSN
0891-7736
Print_ISBN
978-1-4577-2108-3
Electronic_ISBN
0891-7736
Type
conf
DOI
10.1109/WSC.2011.6147818
Filename
6147818
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