Abstract
Important structural elements are often under the action of constant amplitude loading. Increasing their lifetime is an actual task and of great economic importance. To evaluate the lifetime of structural elements, it is necessary to be able to predict the fatigue crack growth rate (FCG). This task can be effectively solved by methods of machine learning, in particular by neural networks, boosted trees, support-vector machines, and k -nearest neighbors. The aim of the present work was to build the fatigue crack growth diagrams of steel 0.45% C subjected to constant amplitude loading at stress ratios R = 0, and R = –1 by the methods of machine learning. The obtained results are in good agreement with the experimental data.
Highlights
Methods of strength and durability evaluation of the responsible structural elements often need the complicated calculations
To evaluate the lifetime of structural elements, it is necessary to be able to predict the fatigue crack growth rate (FCG). This task can be effectively solved by methods of machine learning, in particular by neural networks, boosted trees, support-vector machines, and k -nearest neighbors
The aim of the present work was to build the fatigue crack growth diagrams of steel 0.45% C subjected to constant amplitude loading at stress ratios R = 0, and R = –1 by the methods of machine learning
Summary
Methods of strength and durability evaluation of the responsible structural elements often need the complicated calculations. The basic parameters characterizing the fatigue crack growth (FCG) rate da / dN are the stress intensity factor K (SIF) and the stress ratio R [6 9]. The fatigue crack growth diagram is usually built in double logarithmic coordinates lg da/dN – lg ΔK It has the form of an S-shaped curve limited on the left by the threshold SIF range ΔKth, and on the right by the critical SIF ΔKfc (cyclic fracture toughness). The threshold SIF ΔKth is determined experimentally It is an important characteristic of material resistance to fatigue fracture. The formula obtained by them describes only the second region of the fatigue fracture diagram and does not take into account the influence of the stress ratio R on the FCG rate [11]. NASGRO model can describe all parts of the FCG diagram [17]
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