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Efficient fatigue life estimation of structural assemblies based on cyclic test data of individual parts

  • Markus Winklberger (Vortragende*r)

Aktivität: Vortrag oder PräsentationVortrag nach Bewerbung und AuswahlScience-to-science

Beschreibung

In lightweight design a profound fatigue life estimation of structural assemblies is essential in order to ensure that the materials and geometries of involved components are used to its full capacity. Such an estimation is normally based on material fatigue test data of simple specimens and numerous influence factors, which leads to large uncertainties in calculated fatigue life. To avoid such uncertainties our proposed fatigue life estimation method uses test data of specific components and assemblies. The assemblies considered include two different components, both made of aluminum alloy EN AW 2024. The assembly and therein the components are equally loaded in uniaxial direction. Examples for such assemblies are tie-rods, which are commonly used in automotive or aerospace structures. They are composed of two adapter ends, which are screwed into both ends of a straight tube. The inherent variations in dimensions of all components result in an enormous number of possible assembly combinations, which if a fatigue strength certification is required, leads to an expensive and time consuming testing procedure. Therefore, an efficient analysis method to precisely calculate the fatigue life of new configurations based on test data of individual tubes and adapter ends, as well as finite element simulation data was developed. The proposed analysis process is shown schematically in Figure 1 and can be divided into three main stages. Firstly, selected fatigue test data with a stress ratio of R=0.01 is utilized to develop accurate and verified finite element models of these individual parts. ...
Zeitraum29 Mai 2018
Ereignistitel12th International Fatigue Congress
VeranstaltungstypKonferenz
OrtFrankreichAuf Karte anzeigen

Wissenschaftszweige

  • 203 Maschinenbau
  • 203011 Leichtbau
  • 201117 Leichtbau

JKU-Schwerpunkte

  • Mechatronics and Information Processing
  • TNF Allgemein