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  • 1
    Online Resource
    Online Resource
    Amsterdam, Netherlands ; : Elsevier,
    UID:
    edoccha_9960982385302883
    Format: 1 online resource (450 pages)
    ISBN: 0-12-823053-3
    Content: Fundamentals of Multiscale Modeling of Structural Materials provides a robust introduction to the computational tools, underlying theory, practical applications, and governing physical phenomena necessary to simulate and understand a wide-range of structural materials at multiple time and length scales. The book offers practical guidelines for modeling common structural materials with well-established techniques, outlining detailed modeling approaches for calculating and analyzing mechanical, thermal and transport properties of various structural materials such as metals, cement/concrete, polymers, composites, wood, thin films, and more. Computational approaches based on artificial intelligence and machine learning methods as complementary tools to the physics-based multiscale techniques are discussed as are modeling techniques for additively manufactured structural materials. Special attention is paid to how these methods can be used to develop the next generation of sustainable, resilient and environmentally-friendly structural materials, with a specific emphasis on bridging the atomistic and continuum modeling scales for these materials.
    Additional Edition: Print version: Xia, Wenjie Fundamentals of Multiscale Modeling of Structural Materials San Diego : Elsevier,c2022 ISBN 9780128230213
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    Amsterdam, Netherlands ; : Elsevier,
    UID:
    almahu_9949439050402882
    Format: 1 online resource (450 pages)
    ISBN: 0-12-823053-3
    Content: Fundamentals of Multiscale Modeling of Structural Materials provides a robust introduction to the computational tools, underlying theory, practical applications, and governing physical phenomena necessary to simulate and understand a wide-range of structural materials at multiple time and length scales. The book offers practical guidelines for modeling common structural materials with well-established techniques, outlining detailed modeling approaches for calculating and analyzing mechanical, thermal and transport properties of various structural materials such as metals, cement/concrete, polymers, composites, wood, thin films, and more. Computational approaches based on artificial intelligence and machine learning methods as complementary tools to the physics-based multiscale techniques are discussed as are modeling techniques for additively manufactured structural materials. Special attention is paid to how these methods can be used to develop the next generation of sustainable, resilient and environmentally-friendly structural materials, with a specific emphasis on bridging the atomistic and continuum modeling scales for these materials.
    Additional Edition: Print version: Xia, Wenjie Fundamentals of Multiscale Modeling of Structural Materials San Diego : Elsevier,c2022 ISBN 9780128230213
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 3
    Online Resource
    Online Resource
    Amsterdam, Netherlands ; : Elsevier,
    UID:
    edocfu_9960982385302883
    Format: 1 online resource (450 pages)
    ISBN: 0-12-823053-3
    Content: Fundamentals of Multiscale Modeling of Structural Materials provides a robust introduction to the computational tools, underlying theory, practical applications, and governing physical phenomena necessary to simulate and understand a wide-range of structural materials at multiple time and length scales. The book offers practical guidelines for modeling common structural materials with well-established techniques, outlining detailed modeling approaches for calculating and analyzing mechanical, thermal and transport properties of various structural materials such as metals, cement/concrete, polymers, composites, wood, thin films, and more. Computational approaches based on artificial intelligence and machine learning methods as complementary tools to the physics-based multiscale techniques are discussed as are modeling techniques for additively manufactured structural materials. Special attention is paid to how these methods can be used to develop the next generation of sustainable, resilient and environmentally-friendly structural materials, with a specific emphasis on bridging the atomistic and continuum modeling scales for these materials.
    Additional Edition: Print version: Xia, Wenjie Fundamentals of Multiscale Modeling of Structural Materials San Diego : Elsevier,c2022 ISBN 9780128230213
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 4
    UID:
    b3kat_BV049045225
    Format: 1 Online-Ressource (xiv, 434 Seiten) , Illustrationen, Diagramme
    ISBN: 9780128230213
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-0-12-823021-3
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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