Abstract
The paper describes results of fatigue strength estimates by selected multiaxial fatigue strength criteria in the region of high-cycle fatigue, and compares them with own experimental results obtained on hollow specimens made from ČSN 41 1523 structural steel. The specimens were loaded by various combinations of load channels comprising push–pull, torsion, bending and inner and outer pressures. The prediction methods were validated on fatigue strengths at seven different numbers of cycles spanning from 100,000 to 10,000,000 cycles. No substantial deviation of results based on the selected lifetime was observed. The PCRN method and the QCP method provide best results compared with other assessed methods. The results of the MMP criterion that allows users to evaluate the multiaxial fatigue loading quickly are also of interest because the method provides results only slightly worse than the two best performing solutions.
Highlights
To validate the multiaxial fatigue strength criteria, the prediction results should be compared with experimental results
The analysis presented in this paper focuses on validating 11 different multiaxial fatigue strength criteria on the own test set composed of 34 S-N curves describing the fatigue response for different multiaxial load cases
All test cases relate to hollow specimens manufactured from a single melt of the ČSN 41 1523 structural steel equivalent to S355JR
Summary
To validate the multiaxial fatigue strength criteria, the prediction results should be compared with experimental results. Experimental sets comprising multiple various load cases on different specimen designs and sizes, that provide a detailed information on material properties to tune the multiaxial fatigue strength criteria, are published only rarely. To cover the high lifetime levels, a special approximation FF formula is adopted in this paper With all these changes involved, the paper focuses on validating 11 different multiaxial fatigue strength criteria of various types of solutions in order to assess their credibility for an accurate fatigue strength evaluation. To reach this goal, the experimental campaign is first described, including the regression models used to derive the fatigue strengths from the S-N curves.
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