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<Article>
<Journal>
				<PublisherName>Amirkabir University of Technology</PublisherName>
				<JournalTitle>Amirkabir Journal of Civil Engineering</JournalTitle>
				<Issn>2588-297X</Issn>
				<Volume>53</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2021</Year>
					<Month>05</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Determining Optimum Percent of Recycled Coarse Aggregates used in Corrosive Environment Based on Kriging Model</ArticleTitle>
<VernacularTitle>Determining Optimum Percent of Recycled Coarse Aggregates used in Corrosive Environment Based on Kriging Model</VernacularTitle>
			<FirstPage>863</FirstPage>
			<LastPage>878</LastPage>
			<ELocationID EIdType="pii">3706</ELocationID>
			
<ELocationID EIdType="doi">10.22060/ceej.2019.16560.6299</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>AAbdol Ghaium</FirstName>
					<LastName>Dehvari</LastName>
<Affiliation>Dept. of Civil Eng. University of Sistan and Baluchestan</Affiliation>

</Author>
<Author>
					<FirstName>Mahmoud</FirstName>
					<LastName>Miri</LastName>
<Affiliation>University of Sistan and Baluchestan</Affiliation>

</Author>
<Author>
					<FirstName>Mohamad Reza</FirstName>
					<LastName>Sohrabi</LastName>
<Affiliation>Dept. of Civil Eng. University of Sistan and Baluchestan</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2019</Year>
					<Month>07</Month>
					<Day>01</Day>
				</PubDate>
			</History>
		<Abstract>&lt;strong&gt;In this research, have been used of Kriging surrogate methods to obtain the mechanical and durability parameters’ estimation models and a very recent meta-heuristic optimization algorithm to obtain the optimum amount of recycled coarse aggregates and cement in the concrete mix to reach an environmentally friendly concrete. Results have shown that the optimum design point in a 70% humidity environment, 3% chloride ion concentration, and a temperature of 23&lt;/strong&gt;&lt;strong&gt; at high corrosion risk level has been reached at 20.33% and 0.40 of recycled coarse aggregate and water-cement ratio, respectively, in single-objective optimization. In addition to this, multi-objective optimization results have shown that in an environment with a 70% humidity environment, 5% chloride ion concentration, and a temperature of 23&lt;/strong&gt;&lt;strong&gt; the optimum design point has been obtained at 18.34%, 0.40 of recycled coarse aggregate, and water-cement ratio, respectively, that the same results hadn’t been observed in the single-objective optimization procedure. &lt;/strong&gt;</Abstract>
			<OtherAbstract Language="FA">&lt;strong&gt;In this research, have been used of Kriging surrogate methods to obtain the mechanical and durability parameters’ estimation models and a very recent meta-heuristic optimization algorithm to obtain the optimum amount of recycled coarse aggregates and cement in the concrete mix to reach an environmentally friendly concrete. Results have shown that the optimum design point in a 70% humidity environment, 3% chloride ion concentration, and a temperature of 23&lt;/strong&gt;&lt;strong&gt; at high corrosion risk level has been reached at 20.33% and 0.40 of recycled coarse aggregate and water-cement ratio, respectively, in single-objective optimization. In addition to this, multi-objective optimization results have shown that in an environment with a 70% humidity environment, 5% chloride ion concentration, and a temperature of 23&lt;/strong&gt;&lt;strong&gt; the optimum design point has been obtained at 18.34%, 0.40 of recycled coarse aggregate, and water-cement ratio, respectively, that the same results hadn’t been observed in the single-objective optimization procedure. &lt;/strong&gt;</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Recycled coarse aggregate</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">optimization</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Electrical resistance</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Kriging model</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Ideal gas molecular movement algorithm</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ceej.aut.ac.ir/article_3706_4764f37856fc727f70b666b8d0c4ab7a.pdf</ArchiveCopySource>
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