Experimental and probabilistic study of fatigue crack growth behavior of steel Q345qC under different stress ratios: Fid-Bau Portal

Experimental and probabilistic study of fatigue crack growth behavior of steel Q345qC under different stress ratios

Ke, Lu / Li, Youlin / Li, Chuanxi / Feng, Zheng / Zhu, Furui / Liang, Longming / Mei, Shuyu

Highlights • The effect of stress ratio on the fatigue crack growth behavior of steel Q345qC was investigated experimentally. • The microstructural characteristics of steel Q345qC were revealed. • The probabilistic fatigue crack growth rate equations of steel Q345qC were proposed. • The error between theoretically calculated and tested values of fatigue crack growth life is analyzed.

Abstract The stress ratio effects and the scatter of the fatigue test results are the key issues in the design of steel fatigue performance. This paper reports an experimental and probabilistic investigation of the fatigue crack growth (FCG) behavior of steel Q345qC. Firstly, the microstructural characteristics and mechanical properties of steel Q345qC were examined via an optical microscope and tensile tests. Next, the FCG behavior of steel Q345qC was investigated under different stress ratios. The fatigue crack growth rate (FCGR) equations incorporating survival probabilities were proposed based on Paris and Walker laws. Finally, the theoretical FCG life under different survival probabilities in the crack stable growth region is calculated based on the integral formulas of Paris and Walker law and compared with the tested FCG life. The experimental results demonstrate that the larger the stress ratio, the shorter the length of stress intensity factor (SIF) amplitude experienced in the stable growth region and the smaller the SIF at the end of this region. Both probabilistic Paris and Walker equations can be used for FCGR calculations when the survival probability is set as 50%. The FCG life is calculated using the integral formula based on the Walker law with a high safety tolerance and a wide application interval of stress ratio when the survival probability is set as 90%.