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<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "https://jats.nlm.nih.gov/publishing/1.3/JATS-journalpublishing1-3.dtd">
<article article-type="research-article" dtd-version="1.3" xml:lang="en">
  <front xmlns:xlink="http://www.w3.org/1999/xlink">
    <journal-meta>
      <journal-id journal-id-type="elibrary">33407</journal-id>
      <journal-title-group>
        <journal-title>Construction of Unique Buildings and Structures</journal-title>
        <trans-title-group xml:lang="ru">
          <trans-title>Строительство уникальных зданий и сооружений</trans-title>
        </trans-title-group>
      </journal-title-group>
      <issn pub-type="epub">2304-6295</issn>
    </journal-meta>
    <article-meta xmlns:xlink="http://www.w3.org/1999/xlink">
      <article-id pub-id-type="publisher-id">5</article-id>
      <article-id pub-id-type="doi">10.18720/CUBS.68.5</article-id>
      <title-group>
        <article-title>Damage identification using the moving fractal method for automated monitoring</article-title>
        <trans-title-group xml:lang="ru">
          <trans-title>Идентификация повреждений методом подвижного фрактала при автоматизированном мониторинге</trans-title>
        </trans-title-group>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Ryabtsev</surname>
            <given-names>Vladimir</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
          <email>grieves@yandex.ru </email>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Vengrinovich</surname>
            <given-names>Valery</given-names>
          </name>
          <xref ref-type="aff" rid="aff2"/>
          <email>veng@iaph.bas-net.by</email>
        </contrib>
      </contrib-group>
      <aff id="aff1">Belarusian National Technical University, Minsk, Belarus</aff>
      <aff id="aff2">Institute of Applied Physics of the Belarus National Academy of Science, Minsk, Belarus</aff>
      <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2018-05-01">
        <day>01</day>
        <month>05</month>
        <year>2018</year>
      </pub-date>
      <issue>5</issue>
      <issue-id pub-id-type="publisher-id">68</issue-id>
      <fpage>52</fpage>
      <lpage>61</lpage>
      <self-uri xmlns:xlink="http://www.w3.org/1999/xlink" content-type="pdf" xlink:href="https://unistroy.spbstu.ru/userfiles/files/2018/5(68)/5_Ryabtsev_68.pdf"/>
      <abstract xml:lang="en">
        <p>An automated system for Structural Health Monitoring of a building or structure is designed to provide it owner with up-to-date information on the degree of deterioration of building structures, as well as on the appearance of damages. However, up to the present time, problem of recognizing damages and predicting their emergence is still far from being solved. This article suggests a method of damage recognition, based on the analysis of monitoring data on the technical condition of building structures. The method considered in the article is based on the matrix analysis of information coming from the sensors using a movable fractal. The practical application of the proposed method is illustrated on the computer model of a real high-rise building. The carriedout researches show that the method of the movable fractal allows to uniquely identify the appearance of defects in load-bearing structures.</p>
      </abstract>
      <kwd-group xml:lang="en">
        <kwd>monitoring of technical condition</kwd>
        <kwd>building structures</kwd>
        <kwd>sensors</kwd>
        <kwd>damage</kwd>
        <kwd>fractal</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
