<?xml version="1.0" encoding="utf-8"?>
<TEI xmlns="http://www.tei-c.org/ns/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:hal="http://hal.archives-ouvertes.fr/" xmlns:gml="http://www.opengis.net/gml/3.3/" xmlns:gmlce="http://www.opengis.net/gml/3.3/ce" version="1.1" xsi:schemaLocation="http://www.tei-c.org/ns/1.0 http://api.archives-ouvertes.fr/documents/aofr-sword.xsd">
  <teiHeader>
    <fileDesc>
      <titleStmt>
        <title>HAL TEI export of hal-05345838</title>
      </titleStmt>
      <publicationStmt>
        <distributor>CCSD</distributor>
        <availability status="restricted">
          <licence target="https://creativecommons.org/publicdomain/zero/1.0/">CC0 1.0 - Universal</licence>
        </availability>
        <date when="2026-05-15T12:07:27+02:00"/>
      </publicationStmt>
      <sourceDesc>
        <p part="N">HAL API Platform</p>
      </sourceDesc>
    </fileDesc>
  </teiHeader>
  <text>
    <body>
      <listBibl>
        <biblFull>
          <titleStmt>
            <title xml:lang="en">Research Progress on Defect Detection Methods for Rebar Grouting Sleeve Connections</title>
            <author role="aut">
              <persName>
                <forename type="first">Qingyu</forename>
                <surname>Liu</surname>
              </persName>
              <idno type="halauthorid">3866512-0</idno>
              <affiliation ref="#struct-1636402"/>
            </author>
            <editor role="depositor">
              <persName>
                <forename>Systems</forename>
                <surname>Neural</surname>
              </persName>
              <email type="md5">55b61bced223981e929e84f99e017000</email>
              <email type="domain">outlook.com</email>
            </editor>
          </titleStmt>
          <editionStmt>
            <edition n="v1" type="current">
              <date type="whenSubmitted">2025-11-04 10:13:03</date>
              <date type="whenModified">2025-11-05 03:00:04</date>
              <date type="whenReleased">2025-11-04 10:13:03</date>
              <date type="whenProduced">2025-11-03</date>
            </edition>
            <respStmt>
              <resp>contributor</resp>
              <name key="1730366">
                <persName>
                  <forename>Systems</forename>
                  <surname>Neural</surname>
                </persName>
                <email type="md5">55b61bced223981e929e84f99e017000</email>
                <email type="domain">outlook.com</email>
              </name>
            </respStmt>
          </editionStmt>
          <publicationStmt>
            <distributor>CCSD</distributor>
            <idno type="halId">hal-05345838</idno>
            <idno type="halUri">https://hal.science/hal-05345838</idno>
            <idno type="halBibtex">liu:hal-05345838</idno>
            <idno type="halRefHtml">&lt;i&gt;Advances in Research on Teaching&lt;/i&gt;, 2025, 26 (6), pp.17-23</idno>
            <idno type="halRef">Advances in Research on Teaching, 2025, 26 (6), pp.17-23</idno>
            <availability status="restricted"/>
          </publicationStmt>
          <seriesStmt>
            <idno type="stamp" n="SHS">Sciences de l'Homme et de la Société</idno>
          </seriesStmt>
          <notesStmt>
            <note type="audience" n="2">International</note>
            <note type="popular" n="0">No</note>
            <note type="peer" n="1">Yes</note>
          </notesStmt>
          <sourceDesc>
            <biblStruct>
              <analytic>
                <title xml:lang="en">Research Progress on Defect Detection Methods for Rebar Grouting Sleeve Connections</title>
                <author role="aut">
                  <persName>
                    <forename type="first">Qingyu</forename>
                    <surname>Liu</surname>
                  </persName>
                  <idno type="halauthorid">3866512-0</idno>
                  <affiliation ref="#struct-1636402"/>
                </author>
              </analytic>
              <monogr>
                <idno type="halJournalId" status="VALID">10234</idno>
                <idno type="issn">1479-3687</idno>
                <title level="j">Advances in Research on Teaching</title>
                <imprint>
                  <publisher>Unknown</publisher>
                  <biblScope unit="volume">26</biblScope>
                  <biblScope unit="issue">6</biblScope>
                  <biblScope unit="pp">17-23</biblScope>
                  <date type="datePub">2025-11-03</date>
                </imprint>
              </monogr>
            </biblStruct>
          </sourceDesc>
          <profileDesc>
            <langUsage>
              <language ident="en">English</language>
            </langUsage>
            <textClass>
              <classCode scheme="halDomain" n="shs">Humanities and Social Sciences</classCode>
              <classCode scheme="halTypology" n="ART">Journal articles</classCode>
              <classCode scheme="halOldTypology" n="ART">Journal articles</classCode>
              <classCode scheme="halTreeTypology" n="ART">Journal articles</classCode>
            </textClass>
            <abstract xml:lang="en">
              <p>Against the backdrop of the rapid development of prefabricated buildings, internal defects in rebar grouting sleeve connections pose a serious threat to structural safety and durability. This paper systematically reviews key research directions concerning grouting sleeve connections with defects, with a particular focus on defect detection technologies. The study organizes and comparatively analyzes current mainstream non-destructive and semi-destructive testing methods, including ultrasonic testing, impact echo method, embedded sensor method, X-ray testing, piezoelectric impedance method, embedded steel wire pull-out method, and drilled bore endoscopy method. The research indicates that each method has its own characteristics and applicable scenarios: the piezoelectric impedance method can achieve quantitative evaluation of defect severity and is suitable for monitoring critical nodes; the impact echo method is sensitive to density but its positioning accuracy is influenced by sleeve arrangement; X-ray testing provides intuitive imaging but is costly and limited to laboratory use; drilled bore endoscopy allows direct observation of defect location and size, guiding repairs; the embedded steel wire pull-out method is easy to operate but only allows qualitative judgment. The study points out that a single detection method is difficult to meet complex engineering requirements. It is necessary to select or combine multiple methods according to specific application scenarios to leverage their complementary advantages, providing theoretical basis and technical support for improving acceptance standards for grouting sleeves, determining defect repair thresholds, and ensuring the safe application of prefabricated structures.</p>
            </abstract>
          </profileDesc>
        </biblFull>
      </listBibl>
    </body>
    <back>
      <listOrg type="structures">
        <org type="institution" xml:id="struct-1636402" status="INCOMING">
          <orgName>North China University of Water Resources and Electric Power, School of Civil and Transportation Engineering, Zhengzhou 450045, China.</orgName>
          <desc>
            <address>
              <country key="CN"/>
            </address>
          </desc>
        </org>
      </listOrg>
    </back>
  </text>
</TEI>