journal article·2021-01

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

Sulochana Shrestha, Manigandan Kannan, Gregory N. Morscher, Michael J. Presby, S. Mostafa Razavi

Publisher page

Abstract

Abstract 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.
Source: openaire · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Ultrasonics and Acoustic Wave Propagation · Non-Destructive Testing Techniques · Fatigue and fracture mechanics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (28)

Show source-provided references
1. Paris · 1963
2. Roberts T, Davies A, Holford KM. Structural integrity of welded steel structures. In: Key Engineering Materials, vol. 167, Trans Tech Publ; 1999, pp. 142–151.10.4028/www.scientific.net/KEM.167-168.142 ↗
3. Talebzadeh M, Roberts T. Correlation of crack propagation and acoustic emission rates. In: Key engineering materials, vol. 204, Trans Tech Publ; 2001, pp. 341–350.10.4028/www.scientific.net/KEM.204-205.341 ↗
4. Fatigue design model based on damage mechanisms revealed by acoustic emission measurements
5. Measurement and interpretation of fatigue crack growth in 7075 aluminum alloy using acoustic emission monitoring10.1520/JTE12114J ↗
6. Study of fatigue crack characteristics by acoustic emission10.1016/0013-7944(94)00274-L ↗
7. Fatigue life prediction based on crack propagation and acoustic emission count rates10.1016/S0143-974X(02)00065-2 ↗
8. Acoustic emission for fatigue damage characterization in metal plates10.1016/j.mechrescom.2011.01.011 ↗
9. Study of fatigue crack growth in RAFM steel using acoustic emission technique10.1016/j.jcsr.2016.07.007 ↗
10. Acoustic emission multiplets as early warnings of fatigue failure in metallic materials10.1038/s41598-017-13226-1 ↗
11. Acoustic emission studies for characterization of fatigue crack growth in 316LN stainless steel and welds10.1016/j.apacoust.2017.05.014 ↗
12. Gorman, Michael R, Prosser William H. AE source orientation by plate wave analysis; 1991.
13. Gorman MR. New technology for wave based acoustic emission and acoustoultrasonics. In: International Instrumentation Symposium, 41st, Denver, CO; 1995, pp. 471–480.
14. Gorman M. Modal ae: A new understanding of acoustic emission, J. Acoust. Emiss., Technical Note.
15. The propagation characteristics of the plate modes of acoustic emission waves in thin aluminum plates and thin graphite/epoxy composite plates and tubes10.1121/1.404149 ↗
16. Acoustic emission sensor effect and waveform evolution during fatigue crack growth in thin metallic plate10.1177/1045389X17730930 ↗
17. Toward identifying crack-length-related resonances in acoustic emission waveforms for structural health monitoring applications10.1177/1475921717707356 ↗
18. Calibrating the electric potential method for studying slow crack growth (calibration of electric potential technique to study slow or steady crack growth in high strength materials)
19. An evaluation of the fatigue crack propagation rate for powder metallurgical nickel-based superalloys using the DCPD method at elevated temperatures10.1016/j.ijfatigue.2017.04.003 ↗
20. Assessment of deformation field during high strain rate tensile tests of rafm steel using DIC technique10.1016/j.proeng.2014.11.021 ↗
21. Determining the tensile response of materials at high temperature using DIC and the virtual fields method10.1016/j.optlaseng.2016.11.004 ↗
22. Pullin R, Eaton MJ, Hensman JJ, Holford KM, Worden K, Evans SL. Validation of acoustic emission (ae) crack detection in aerospace grade steel using digital image correlation. In: Applied Mechanics and Materials, vol. 24, Trans Tech Publ; 2010, pp. 221–226.10.4028/www.scientific.net/AMM.24-25.221 ↗
23. Correlations of electrochemical noise, acoustic emission and complementary monitoring techniques during intergranular stress-corrosion cracking of austenitic stainless steel10.1016/j.corsci.2010.02.035 ↗
24. Akaike H, Markovian representation of stochastic processes and its application to the analysis of autoregressive moving average processes. In: Selected Papers of Hirotugu Akaike, Springer; 1998, pp. 223–247.10.1007/978-1-4612-1694-0_17 ↗
25. Waveform-based selection of acoustic emission events generated by damage in composite materials10.1016/j.ymssp.2014.08.001 ↗
26. Acoustic emission and electrical resistance in sicbased laminate ceramic composites tested under tensile loading10.1016/j.jeurceramsoc.2017.05.003 ↗
27. Feasibility and limitations of damage identification in composite materials using acoustic emission10.1016/j.compositesa.2015.05.003 ↗
28. Stephens, Ralph I, et al. Metal fatigue in engineering. John Wiley & Sons; 2000.