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<export-example>
  <doc>
    <id>61294</id>
    <completedYear/>
    <publishedYear>2024</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst>192</pageFirst>
    <pageLast>200</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>Bundesanstalt für Materialforschung und -prüfung (BAM)</publisherName>
    <publisherPlace>Berlin</publisherPlace>
    <creatingCorporation>Deutscher Ausschuss für Stahlbeton (DAfStb)</creatingCorporation>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Anwendung von KI für die Materialoptimierung im Bauwesen</title>
    <abstract language="deu">Diese Arbeit untersucht den Einsatz von Künstlicher Intelligenz (KI) in der Materialentwicklung für Beton, mit einem Fokus auf Karbonatisierungswiderstand, CO₂-Reduktion und Kostenoptimierung. Das KI-Tool SLAMD, das auf inverses Materialdesign setzt, konnte in Studien die Entwicklungszeit für Betonmischungen um bis zu 80 % verkürzen. Durch die Integration zusätzlicher 1H-Kernspinresonanz-Daten wurde der Prozess um weitere 40 % beschleunigt. Insgesamt zeigt sich, dass der Einsatz von KI die Effizienz und Nachhaltigkeit in der Materialentwicklung signifikant steigern kann.</abstract>
    <parentTitle language="deu">11. Jahrestagung des DAfStb mit 63. Forschungskolloquium der BAM - Beiträge zum 63. Forschungskolloquium Green Intelligent Building am 16. und 17. Oktober 2024</parentTitle>
    <identifier type="urn">urn:nbn:de:kobv:b43-612949</identifier>
    <identifier type="isbn">978-3-9818564-7-7</identifier>
    <enrichment key="eventName">11. Jahrestagung des DAfStb mit 63. Forschungskolloquium der BAM Green Intelligent Building</enrichment>
    <enrichment key="eventPlace">Berlin, Germany</enrichment>
    <enrichment key="eventStart">16.10.2024</enrichment>
    <enrichment key="eventEnd">17.10.2024</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="RelatedIdentifier">https://nbn-resolving.org/urn:nbn:de:kobv:b43-613383</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Sarah Mandy Munsch</author>
    <author>Tim Klewe</author>
    <author>K. Schumacher</author>
    <author>Melissa Telong</author>
    <author>Lili Grobla</author>
    <author>C. Völker</author>
    <author>K. Yared</author>
    <author>Sabine Kruschwitz</author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Künstliche Intelligenz (KI)</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Materialoptimierung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Bauwesen</value>
    </subject>
    <collection role="ddc" number="624">Ingenieurbau</collection>
    <collection role="institutes" number="">8 Zerstörungsfreie Prüfung</collection>
    <collection role="themenfelder" number="">Infrastruktur</collection>
    <collection role="literaturgattung" number="">Eigenverlag BAM</collection>
    <collection role="fulltextaccess" number="">Datei für die Öffentlichkeit verfügbar ("Open Access")</collection>
    <collection role="unnumberedseries" number="">Wissenschaftliche Artikel der BAM</collection>
    <collection role="institutes" number="">8.0 Abteilungsleitung und andere</collection>
    <collection role="themenfelder" number="">Green Intelligent Building</collection>
    <thesisPublisher>Bundesanstalt für Materialforschung und -prüfung (BAM)</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-bam/files/61294/4.3_Block_4_03_Munsch.pdf</file>
  </doc>
  <doc>
    <id>36581</id>
    <completedYear/>
    <publishedYear>2015</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>525</pageFirst>
    <pageLast>533</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>1650</volume>
    <type>conferenceobject</type>
    <publisherName>American Institute of Physics</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">X-ray tomographic in-service inspection of girth welds – the european project tomoweld</title>
    <abstract language="eng">The new standard ‘ISO 17636-2:2013: Non-destructive testing of welds — Radiographic testing — Part 2: X- and gamma-ray techniques with digital detectors’, defines the practice for radiographic inspection of welded pipes for manufacturing and in-service inspection. It is applied in Europe for inspections of pipe welds in nuclear power plants as well as in chemical plants and allows a faster inspection with digital detector arrays (DDA) than with film. Nevertheless, it does not allow the evaluation of the depth and shape of volumetric and planar indications. In 2001 a planar tomography scanner, TomoCAR, was introduced for mechanized radiographic testing (RT) inspection and non-destructive measurement of cross sections. The project TomoWELD is based on a new concept of the scan geometry, an enhanced GPU based reconstruction, and the application of a new generation of photon counting DDAs based on CdTe crystal CMOS hybrids. The new detector permits the selection of energy thresholds to obtain an optimum energy range and reduction of the influence of scattered radiation. The concept and first measurements are presented. Flaw depth and shape of volumetric and planar irregularities can be determined.</abstract>
    <parentTitle language="eng">AIP Conference Proceedings</parentTitle>
    <identifier type="doi">10.1063/1.4914650</identifier>
    <identifier type="issn">0094-243X</identifier>
    <identifier type="isbn">978-0-7354-1292-7</identifier>
    <note>Geburtsname von Schumacher, David: Walter, D.&#13;
 -  &#13;
Birth name of Schumacher, David: Walter, D.</note>
    <enrichment key="eventName">QNDE 2014</enrichment>
    <enrichment key="eventPlace">Boise, Idaho, USA</enrichment>
    <enrichment key="eventStart">20.07.2014</enrichment>
    <enrichment key="eventEnd">25.07.2014</enrichment>
    <author>Uwe Ewert</author>
    <author>Benrhard Redmer</author>
    <author>David Schumacher</author>
    <author>Kai-Uwe Thiessenhusen</author>
    <author>Carsten Bellon</author>
    <author>P. I. Nicholson</author>
    <author>A. L. Clarke</author>
    <author>K.-P. Finke-Härkönen</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>X-ray imaging</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Tomography</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Engineering inspection</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Radiography</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Welded joints</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Chemical plants</value>
    </subject>
    <collection role="ddc" number="620">Ingenieurwissenschaften und zugeordnete Tätigkeiten</collection>
    <collection role="ddc" number="621">Angewandte Physik</collection>
    <collection role="literaturgattung" number="">Verlagsliteratur</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
  </doc>
</export-example>
