• Medientyp: E-Artikel
  • Titel: Probabilistic modeling of reinforcing bar fatigue on the basis of surface topography data
  • Beteiligte: Osterminski, Kai
  • Erschienen: Wiley, 2021
  • Erschienen in: Structural Concrete, 22 (2021) S1
  • Sprache: Englisch
  • DOI: 10.1002/suco.202000121
  • ISSN: 1464-4177; 1751-7648
  • Schlagwörter: Mechanics of Materials ; General Materials Science ; Building and Construction ; Civil and Structural Engineering
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  • Beschreibung: <jats:title>Abstract</jats:title><jats:p>The fatigue of reinforcing bars—as one example of reinforcements in general— is strongly influenced by their surface properties. A lot of research in the 1960s and 1970s has led to the formulation of an analytical model that connects notch stresses to the resulting load cycles in fatigue tests. This article presents the work undertaken in a DFG (German Research Foundation) research project, in which the procedure for assessing the surface properties of rebars with a high‐precision laser‐linescan system (LLS‐system) and subsequently performed fatigue tests were developed. An analytical model was taken as a basis in order to quantify the input parameters and derive the corresponding notch stress factors. The concluding modeling took the scatter into account and allowed for a safety‐based recommendation for the derived notch stress factors of reinforcing bars.</jats:p>