Fatigue lifetime prediction model for spot welded structures

2000 ◽  
Vol 97 (1) ◽  
pp. 83-96 ◽  
Author(s):  
H. Di Fant-Jaeckels ◽  
A. Galtier
2019 ◽  
Vol 14 (51) ◽  
pp. 552-566 ◽  
Author(s):  
Kris Hectors ◽  
Wim De Waele ◽  
Mia Loccufier ◽  
Hans De Backer

Author(s):  
Kay Langschwager ◽  
Alexander Bosch ◽  
Eliane Lang ◽  
Jürgen Rudolph ◽  
Michael Vormwald ◽  
...  

Austenitic stainless steel of type X6CrNiNb18-10 (1.4550) is a widely used material in piping and components of nuclear power plants. The fatigue behavior of these components is often operationally determined by thermomechanical strains and corresponding stresses. Welded structures lead to complex stresses in the component and potential fatigue lifetime reductions. Various geometrical and microstructural inhomogeneities in welded structures represent the main factors of influence. Nevertheless, clear identification and quantification of various factors of influence are issues still to be resolved. Within the framework of an ongoing research project, the experimental investigation comprises uniaxial and biaxial fatigue experiments on welded joints which cover temperatures from 25°C to 350°C. Furthermore, a key issue deals with the thermomechanical fatigue behavior of machined and unmachined butt weld seams. A special focus is set on typical low cycle fatigue (LCF) tests in order to explain the behavior of the base material and the weld material to identify the influence of microstructural inhomogeneities. In addition, specimens manufactured directly from the pipe components are tested to examine the influence of the butt weld seam geometry. For a better understanding of the local strain effects, optical strain field measurements (OSFM) are conducted and used to validate numerical simulation. The finite element method (FEM) is utilized to expand the parameter space and identify the main parameters. Experimental and numerical results show that fatigue failure occurs either in the base metal in the vicinity of the welded zone or in the top layer of the weld, depending on the loading conditions. This knowledge is used to develop an approach to fatigue lifetime estimation.


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