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Crack growth behavior and fatigue-life prediction based on worst-case near-threshold data of a large crack for 9310 steel
Authors:J Z LIU  X R WU  C F DING  B R HU  L F WANG  B ANNIGERI  L HVESTERGAARD  A ROMANOWSKI  G J SCHNEIDER  S C FORTH
Affiliation:Beijing Institute of Aeronautical Materials, Beijing 100095, China,;United Technologies, East Hartford, CT 06108, USA
Abstract:ABSTRACT Both experimental and analytical investigations were conducted to study crack initiation and growth of small cracks, near‐threshold growth behavior of large cracks at constant R‐ratio/decreasing ΔK and constant Kmax/decreasing ΔK, respectively, for 9310 steel. The results showed that a pronounced small‐crack effect was not observed even at R = ?1, small cracks initiated by a slip mechanism at strong slip sites. Worst‐case near‐threshold testing results for large cracks under several Kmax values showed that an effect of Kmax on the near‐threshold behavior does not exist in the present investigation. A worst‐case near‐threshold test for a large crack, i.e. constant Kmax/decreasing ΔK test, can give a conservative prediction of growth behavior of naturally initiated small cracks. Using the worst‐case near‐threshold data for a large crack and crack‐tip constraint factor equations defined in the paper, Newman's total fatigue‐life prediction method was improved. The fatigue lives predicted by the improved method were in reasonable agreement with the experiments. A three‐dimensional (3D) weight function method was used to calculate stress‐intensity factors for a surface crack at a notch of the present SENT specimen (with r/w = 1/8) by using a finite‐element reference solution. The results were verified by limited finite‐element solutions, and agreed well with those calculated by Newman's stress‐intensity factor equations when the stress concentration factor of the present specimen was used in the equations.
Keywords:3D weigh function  crack closure  small crack  small-crack effect  total fatigue-life prediction  worst-case near-threshold behavior
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