In-situ fatigue life analysis by modal acoustic emission, direct current potential drop and digital image correlation for steel

Optimizing acoustic emission (AE) is useful to understand fatigue crack growth of metal structures. Experimental investigation of fatigue in steel with an edge notch was performed using AE to understand source and location of crack formation and growth. Non-Destructive Techniques like Direct Current Potential Drop (DCPD) and Digital Image Correlation (DIC) are useful in assisting to interpret the AE. The cumulation of AE correlated well with the initiation and propagation similar to potential drop values and DIC strain field. 2D AE source location technique was successfully implemented to monitor crack growth. Frequency content correlate with the mode of crack growth.

Automated summary

Optimizing acoustic emission is useful for understanding fatigue crack growth of metal structures, and techniques like Direct Current Potential Drop and Digital Image Correlation can assist in interpreting the AE data. Accumulation of AE is correlated with initiation and propagation of cracks, similar to potential drop values and DIC strain field. 2D AE source location technique can successfully monitor crack growth, and frequency content correlates with crack growth mode.