<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
				<PublisherName>Sharif University of Technology</PublisherName>
				<JournalTitle>Scientia Iranica</JournalTitle>
				<Issn>1026-3098</Issn>
				<Volume>24</Volume>
				<Issue>6</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>12</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>On the Evolutionary Characteristics of the Acceleration Records Generated From Linear Time-Variant Systems</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>2817</FirstPage>
			<LastPage>2831</LastPage>
			<ELocationID EIdType="pii">4254</ELocationID>
			
<ELocationID EIdType="doi">10.24200/sci.2017.4254</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Zakariya</FirstName>
					<LastName>Waezi</LastName>
<Affiliation>Civil Engineering 
Department, Sharif University of Technology, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Fayaz</FirstName>
					<LastName>R. Rofooei</LastName>
<Affiliation>Department of Civil Engineering, Sharif University of Technology, Tehran, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>04</Month>
					<Day>02</Day>
				</PubDate>
			</History>
		<Abstract>This paper discusses the time-varying characteristics of the output signals resulted from linear time variant (LTV) systems using level crossing properties. These systems which are used for generating synthetic records based on a target record contain two identification processes: 1) amplitude modulating function, 2) time-varying impulse response function (IRF) parameters. For efficient tracking of the IRF parameters, the zero-crossing and positive minima/negative maxima cumulative curves are usually utilized as the measures of the instantaneous spectral power. Using spectral moments, analytic relations for zero-crossing and positive minima/negative maxima cumulative count are developed with respect to the IRF’s evolutionary power spectrum. In order to efficiently investigate the low-frequency components of the output records, the zero-crossing rate of the velocity and the displacement records are tracked and rigorous analytic equations for their descriptions are developed. Some of the issues concerning application of the developed equations are explored using two LVT models, and the limitations of the proposed procedures are explained.  Through introduction of new compatibility measures, the necessity of implementing Monte Carlo simulations would no longer be needed and it would be possible to generate the synthetic acceleration records with desirable evolutionary characteristics with much less computation time.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Non-stationary records</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Ground motion simulation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Linear time variant</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Zero crossing</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Positive minimum and Negative maximum</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Lower-level crossings</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://scientiairanica.sharif.edu/article_4254_92a5577457dd70f1b45552ed573b2995.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
