Acoustic emission during fatigue crack propagation in a micro-alloyed steel and welds

Han, Zhiyuan; Luo, Hongyun; Cao, Jingwei; Wang, Hongwei

doi:10.1016/j.msea.2011.06.065

Cited by 75 publications

(47 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…After the onset of macrostrain localization, macro fatigue crack initiates, which is accompanied by a sharp increase in the cumulative parameters. This trend is also consistent with other research [6] [7]. After macro fatigue crack initiation, the cumulative parameters show a stable variation between 18,700s to 19,300s.…”

Section: Ae Data Collection With Dicsupporting

confidence: 93%

“…Region G is accompanied by a significant rise in the cumulative parameters. The sharp increase in the cumulative parameters in region G form 25,000 to 27,000s is due to macro fatigue crack initiation as suggested in [6] [7] [25] and the stable increase in the cumulative parameter from 27,000 to 29,500s is associated with stable macro fatigue crack The similar increasing trend in all three parameters showed that cumulative entropy can also be used as fatigue damage evaluation parameter instead of cumulative count and cumulative energy.…”

Section: Ae Data Collection With %Elongation Of the Specimenmentioning

confidence: 60%

“…Figure 7 illustrates a comparison of cumulative count, cumulative energy and cumulative entropy for the entire length of the test. Cumulative energy and count have been widely used in fatigue damage evaluation during AE monitoring [6] [20] [25]. Therefore, these parameters have been chosen to compare the cumulative trend of AE entropy.…”

Section: Ae Data Collection With %Elongation Of the Specimenmentioning

confidence: 99%

“…The crack initiation has been shown to be accompanied by a significant increase in the peak amplitude, cumulative count and energy of the AE [5]. Han et al [6] [7], suggested AE features such as count rate, peak amplitude and risetime are sensitive to three different stages of fatigue; stage 1 fatigue crack initiation, stage 2 slow fatigue crack propagation and stage 3 rapid crack propagation. Han et al [7] [8] distinguished other cracking mechanisms based on peak amplitude and rise time observation such as twinning, crack extension, cleavage facture, plastic zone activity, ligament shearing between micro-voids and micro-cracks.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Identification of fatigue damage evolution in 316L stainless steel using acoustic emission and digital image correlation

et al. 2018

View full text Add to dashboard Cite

Abstract.One of the main objectives of Acoustic Emission (AE) monitoring is to identify approaching critical stage of damage in the structure before it fails. State-of-the-art AE analysis is done on the features in both the time and frequency domains. Many features such as centroid frequency, duration, rise-time, count and energy are dependent on acquisition settings; threshold and timing parameters. Incorrect acquisition settings may result in inaccurate classification of the AE source. This work proposes a new feature in the time domain signal based on 2 nd order Renyi's entropy, which proves to be efficient in identifying different stages of damage. Renyi's entropy is a measure of uncertainty or randomness of the signals and is directly derived from the distribution of signal amplitude. Therefore, it is independent of threshold and timing parameters. The validity of the proposed parameter is investigated by performing AE monitoring during fatigue endurance test of 316L stainless steel. Digital Image Correlation (DIC) and global strain monitoring was carried out to relate material damage with AE activity. The result shows Renyi's entropy to be an effective measure to identify critical stages of damage in the material.

show abstract

Section: Ae Data Collection With Dicsupporting

confidence: 93%

Section: Ae Data Collection With %Elongation Of the Specimenmentioning

confidence: 60%

Section: Ae Data Collection With %Elongation Of the Specimenmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Identification of fatigue damage evolution in 316L stainless steel using acoustic emission and digital image correlation

et al. 2018

View full text Add to dashboard Cite

show abstract

“…Mechanisms include crack extension, 'fretting' or 'friction' of the crack surfaces, yielding ahead of the plastic zone, the fracturing of brittle inclusions, separation of ligaments by internal necking, and others. Because acoustic emission is an in-situ method of evaluation, a oneto-one correlation between received data and actual internal mechanisms is not available and Guidance and further discussion may be found in Ohira and Pao, 1986;Han et al, 2011;Huang, 1998, and Ono, 2005. Sison et al, 1996 includes a summary of the dozen earliest efforts to apply AE to steel bridges.…”

Section: Steel Structuresmentioning

confidence: 99%