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A nonlinear lifetime prediction method for un‐ and low alloyed steels by damage determination based on non‐destructive measurement techniques

Fatigue & Fracture of Engineering Materials & Structures 2024 6 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 45 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Fabian Weber, Moritz Maul, Florian Juner, Peter Starke

Summary

This study developed a nonlinear lifetime prediction method for unalloyed and low-alloyed steels using damage determination based on cyclic deformation, aimed at reducing the number of fatigue specimens needed for nuclear power plant safety assessments. The method significantly reduced testing time and cost compared to conventional fatigue life assessment approaches.

Abstract Materials used in nuclear power plants are exposed to cyclic loading, which is why the understanding of fatigue behaviour is of great importance. Because of high time investments and resulting increased costs, Lifetime Prediction Methods, which significantly reduce the amount of specimen, have already been developed. Within this paper, the Lifetime Prediction Method MiDAcLife incr is presented, which enables a determination of a trend S‐N curve in the High‐Cycle‐Fatigue‐regime based on only one fatigue test and the combination of conventional fatigue testing with NDT‐related measurement techniques. The process‐orientated monitoring of the cyclic deformation behaviour provides the basis for the time‐ and cost‐effective provision of fatigue data. Compared with previous methods, the consideration of variable loading is an essential aspect of the research application. The test material is a 20MnMoNi5‐5 steel, the results of which are extended to include other steels for validation reasons.

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