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Fatigue life prediction of three-dimensional scanned weld seams using finite element analysis

Original title: Fatigue life prediction of three‐dimensional scanned weld seams using finite element analysis

Materialwissenschaft und Werkstofftechnik 2026
M. Steinebrunner, R. Spaeth, J. Geiger

Summary

This paper is about engineering, not human health—it's actually not related to microplastics at all. It focuses on predicting how long welded metal joints (like those in bridges, vehicles, or machinery) will last before cracking under repeated stress, using 3D scanning and computer simulations instead of just physical testing. The key takeaway: by scanning real weld seams and averaging stress across thousands of simulated points (rather than just the single highest-stress point), researchers got computer predictions that closely matched real-world fatigue test results. This matters for safety engineering because it could make it faster and cheaper to predict when welded structures might fail, without

Weld seams of cruciform specimens were digitized in 3D using a high‐precision fringe projection scanner. Based on these digital twins, finite element analyses (FEA) were performed to determine stress distributions in highly loaded regions at the weld toe, known as hot spots critical for fatigue life. Initially, maximum element stresses based on finite element analyses at four weld transitions were compared with experimental data, showing poor correlation. By increasing the number of evaluated elements and averaging the 5,000 most highly stressed elements at the critical transition, good agreement with the experimental S–N curve was achieved. The slope and scatter of the simulated S–N curve also matched well with test results. Due to the linear‐elastic material model, stresses were overestimated, as microplastic effects at the weld toe were not considered. A post‐processing algorithm SESAM was developed to further analyse and quantify results. It allows flexible parameter selection and enables, for the first time, the 3D quantification of hot spots or micro‐notches and their stress distributions, providing a basis for fracture mechanics approaches such as crack growth analysis or the application of the ‐concept.

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