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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Sharif University of Technology</PublisherName>
				<JournalTitle>Scientia Iranica</JournalTitle>
				<Issn>1026-3098</Issn>
				<Volume>16</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2009</Year>
					<Month>07</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A Comparison of Three Adaptive Finite Element Renement Techniques for Incompressible Navier-Stokes Equations Using a CBS Scheme</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage></FirstPage>
			<LastPage></LastPage>
			<ELocationID EIdType="pii">3117</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>M.H.</FirstName>
					<LastName>Afshar</LastName>
<Affiliation>Department of Civil Engineering,Iran University of Science and Technology</Affiliation>

</Author>
<Author>
					<FirstName>A.</FirstName>
					<LastName>Rahmani Firoozjaee</LastName>
<Affiliation>Department of Civil Engineering,Iran University of Science and Technology</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2009</Year>
					<Month>09</Month>
					<Day>21</Day>
				</PubDate>
			</History>
		    <Abstract>Abstract. The numerical solution of incompressible Navier-Stokes equations for 
ows involving
complex geometries is greatly aected by mesh resolution. In these 
ows, some regions may need ner
mesh than others. Adaptive Mesh Renement (AMR) techniques enable the mesh to be locally rened,
based on error distribution in the previous analysis. In this paper, three adaptive renement methods,
namely, Superconvergent Patch Recovery (SPR) based renement, gradient based renement and curvature
(2nd derivative) based renement are used in conjunction with the characteristic based split nite element
method to solve a benchmark problem of a lid-driven cavity. The results of the proposed adaptive renement
methods are presented and their eciencies are compared. The results show the eectiveness of the
adaptive renement method for the ecient and accurate simulation of 
ow problems.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Adaptive renement</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Characteristic based split</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Navier-Stokes</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">CBS</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">FEM</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://scientiairanica.sharif.edu/article_3117_8b313cbf30999888de32da1ec83ff503.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
