Building Geometry Simplification for Improving Mesh Quality of Numerical Analysis Model

Numerical analysis, especially the finite volume method (FVM), is one of the primary approaches employed when evaluating a building environment. A complicated geometry can degrade the mesh quality, leading to numerical diffusions and errors. Thus, this study develops and evaluates an automatic build...

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Main Authors: Gwanyong Park, Changmin Kim, Minhyung Lee, Changho Choi
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/10/16/5425
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spelling doaj-7cae3258d0474470814dfc3aeb650d5c2020-11-25T01:22:59ZengMDPI AGApplied Sciences2076-34172020-08-01105425542510.3390/app10165425Building Geometry Simplification for Improving Mesh Quality of Numerical Analysis ModelGwanyong Park0Changmin Kim1Minhyung Lee2Changho Choi3Institution of Green Building and New Technology, Mirae Environment Plan, Seoul 01905, KoreaInstitution of Green Building and New Technology, Mirae Environment Plan, Seoul 01905, KoreaInstitution of Green Building and New Technology, Mirae Environment Plan, Seoul 01905, KoreaDepartment of Architectural Engineering, Kwangwoon University, Seoul 01897, KoreaNumerical analysis, especially the finite volume method (FVM), is one of the primary approaches employed when evaluating a building environment. A complicated geometry can degrade the mesh quality, leading to numerical diffusions and errors. Thus, this study develops and evaluates an automatic building geometry simplification method based on integrating similar surfaces for the geometry of an indoor space. A regression model showed that the complexity of the simplified geometry and its similarity to the original geometry decreased linearly with the threshold of the method. The mesh quality was significantly improved by the simplification. In particular, the maximum skewness decreased exponentially with the threshold of the method. It is expected that the simplification method and regression model presented in this study can be used to quantitatively control the mesh quality.https://www.mdpi.com/2076-3417/10/16/5425automationbuilding modelgeometry simplificationfinite volume methodmesh qualitymodel design
collection DOAJ
language English
format Article
sources DOAJ
author Gwanyong Park
Changmin Kim
Minhyung Lee
Changho Choi
spellingShingle Gwanyong Park
Changmin Kim
Minhyung Lee
Changho Choi
Building Geometry Simplification for Improving Mesh Quality of Numerical Analysis Model
Applied Sciences
automation
building model
geometry simplification
finite volume method
mesh quality
model design
author_facet Gwanyong Park
Changmin Kim
Minhyung Lee
Changho Choi
author_sort Gwanyong Park
title Building Geometry Simplification for Improving Mesh Quality of Numerical Analysis Model
title_short Building Geometry Simplification for Improving Mesh Quality of Numerical Analysis Model
title_full Building Geometry Simplification for Improving Mesh Quality of Numerical Analysis Model
title_fullStr Building Geometry Simplification for Improving Mesh Quality of Numerical Analysis Model
title_full_unstemmed Building Geometry Simplification for Improving Mesh Quality of Numerical Analysis Model
title_sort building geometry simplification for improving mesh quality of numerical analysis model
publisher MDPI AG
series Applied Sciences
issn 2076-3417
publishDate 2020-08-01
description Numerical analysis, especially the finite volume method (FVM), is one of the primary approaches employed when evaluating a building environment. A complicated geometry can degrade the mesh quality, leading to numerical diffusions and errors. Thus, this study develops and evaluates an automatic building geometry simplification method based on integrating similar surfaces for the geometry of an indoor space. A regression model showed that the complexity of the simplified geometry and its similarity to the original geometry decreased linearly with the threshold of the method. The mesh quality was significantly improved by the simplification. In particular, the maximum skewness decreased exponentially with the threshold of the method. It is expected that the simplification method and regression model presented in this study can be used to quantitatively control the mesh quality.
topic automation
building model
geometry simplification
finite volume method
mesh quality
model design
url https://www.mdpi.com/2076-3417/10/16/5425
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AT changminkim buildinggeometrysimplificationforimprovingmeshqualityofnumericalanalysismodel
AT minhyunglee buildinggeometrysimplificationforimprovingmeshqualityofnumericalanalysismodel
AT changhochoi buildinggeometrysimplificationforimprovingmeshqualityofnumericalanalysismodel
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