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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Amirkabir University of Technology</PublisherName>
				<JournalTitle>Amirkabir Journal of Civil Engineering</JournalTitle>
				<Issn>2588-297X</Issn>
				<Volume>53</Volume>
				<Issue>6</Issue>
				<PubDate PubStatus="epublish">
					<Year>2021</Year>
					<Month>08</Month>
					<Day>23</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Damage Detection of Single Tapered Poles Using APSO Algorithm</ArticleTitle>
<VernacularTitle>Damage Detection of Single Tapered Poles Using APSO Algorithm</VernacularTitle>
			<FirstPage>2297</FirstPage>
			<LastPage>2314</LastPage>
			<ELocationID EIdType="pii">3903</ELocationID>
			
<ELocationID EIdType="doi">10.22060/ceej.2020.17377.6542</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Hamed</FirstName>
					<LastName>Ghohani Arab</LastName>
<Affiliation>Civil Engineering Department, University of Sistan and Baluchestan, Zahedan, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Ali</FirstName>
					<LastName>Mahallati Rayeni</LastName>
<Affiliation>Civil Engineering department, University of Sistan and Baluchestan, Zahedan, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Arash</FirstName>
					<LastName>Naderi</LastName>
<Affiliation>Civil Engineering department, University of Sistan and Baluchestan, Zahedan, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Mohammad Reza</FirstName>
					<LastName>Sohrabi</LastName>
<Affiliation>Civil Engineering department, University of Sistan and Baluchestan, Zahedan, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Mohammad Reza</FirstName>
					<LastName>Ghasemi</LastName>
<Affiliation>Civil Engineering department, University of Sistan and Baluchestan, Zahedan, Iran</Affiliation>
<Identifier Source="ORCID">0000-0002-7014-6668</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2019</Year>
					<Month>11</Month>
					<Day>13</Day>
				</PubDate>
			</History>
		<Abstract>In this paper, the damage detection of single tapered poles is studied. Structural damage is identified using an optimization-based method. In this method, the APSO is used to detect the location and severity of the damage. The objective function for detecting the damage is a correlation coefficient based on natural frequencies. In order to accelerate the calculation of the natural frequencies of the structure, the iterative method is used. In this paper, the damage induced into the structure is simulated as reduction of the stiffness matrix of the element in a finite element modeling of the structure and also in order to match the real situation, damages. To evaluate the efficiency and robustness of the proposed method in detecting damage of tapered poles, two numerical examples, including a police surveillance camera pole and a water storage pole under different damaged scenarios with considering measurement noise, are examined. In the first and second examples, structures are divided by 15 and 25 elements, respectively, with the uniform moment of inertia. The results show that the proposed method is capable of detecting both the location and severity of the damage properly, despite the complexity of some damage scenarios. Therefore, the algorithm can be used to detect the damage of other structures.</Abstract>
			<OtherAbstract Language="FA">In this paper, the damage detection of single tapered poles is studied. Structural damage is identified using an optimization-based method. In this method, the APSO is used to detect the location and severity of the damage. The objective function for detecting the damage is a correlation coefficient based on natural frequencies. In order to accelerate the calculation of the natural frequencies of the structure, the iterative method is used. In this paper, the damage induced into the structure is simulated as reduction of the stiffness matrix of the element in a finite element modeling of the structure and also in order to match the real situation, damages. To evaluate the efficiency and robustness of the proposed method in detecting damage of tapered poles, two numerical examples, including a police surveillance camera pole and a water storage pole under different damaged scenarios with considering measurement noise, are examined. In the first and second examples, structures are divided by 15 and 25 elements, respectively, with the uniform moment of inertia. The results show that the proposed method is capable of detecting both the location and severity of the damage properly, despite the complexity of some damage scenarios. Therefore, the algorithm can be used to detect the damage of other structures.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">damage detection</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Single Tapered Pole</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">APSO</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Vibration-Based Damage Detection</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Dynamic analysis</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ceej.aut.ac.ir/article_3903_9d949c3d8baa0f9df6f22c4661946a61.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
