A Software-Aided Approach to Increase Accuracy and Efficiency of Fractographic Image Analysis
摘要
Fatigue damage due to cyclic loading has overwhelming importance in the assessment of the safety and integrity of structures. Damage tolerance analysis (DTA), an approach to conservatively estimate fatigue life, is employed in monitoring and forecasting the integrity of most commercial and defense aircraft structures as they age to ensure safety. DTA relies on empirically obtained fractographic crack growth data to validate the analytical methods in the analysis. These data are obtained through high-magnification imaging of a crack face using a scanning electron microscope and subsequent fatigue striation spacing measurement. A tool was coded in Python to allow rapid assessment and measurement of fatigue striations using extracted grayscale intensity profiles. The tool was successfully validated and demonstrated a significant efficiency increase over the traditional striation counting workflow method.