Article, 2024

Fatigue damage reconstruction in glass/epoxy composites via thermal analysis and machine learning: A theoretical study

COMPOSITE STRUCTURES, ISSN 0263-8223, Volume 331, 10.1016/j.compstruct.2023.117855

Contributors

Albuquerque, Rodrigo Q. 0000-0001-9064-4982 (Corresponding author) [1] Sarhadi, Ali [2] Demleitner, Martin [1] Ruckdaeschel, Holger 0000-0001-5985-2628 (Corresponding author) [1] [3] Eder, Martin A. (Corresponding author) [2]

Affiliations

  1. [1] Univ Bayreuth, Univ Str 30, D-95447 Bayreuth, Germany
    2. [NORA names: Germany; Europe, EU; OECD];
  2. [2] Tech Univ Denmark, Frederiksborgvej 399, DK-4000 Roskilde, Denmark
    3. [NORA names: DTU Technical University of Denmark; University; Denmark; Europe, EU; Nordic; OECD];
  3. [3] Neue Mat Bayreuth GmbH, Gottlieb Keim Str 60, D-95448 Bayreuth, Germany
    4. [NORA names: Germany; Europe, EU; OECD]

Abstract

Abstract not displayed. As this article is not marked as Open Access, it is unclear if we are allowed to show the abstract. Please use the link in the sidebar to view the data provider version of the article including abstract.

Keywords

3D thermal analysis, Composite material, Fatigue damage reconstruction, Machine learning, Thermal imaging

Data Provider: Clarivate

LINKS
-

Matching Records in NORA

SUBJECTS
+

METRICS
+