Acoustic emission analysis during fatigue crack growth in steel

Sinclair, A. C. E.; Connors, D.C.; Formby, C.L.

doi:10.1016/0025-5416(77)90180-x

Cited by 71 publications

(51 citation statements)

References 12 publications

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“…m + 2, most of the AE output is due to yielding and fracture within the plastic zone near the crack tip. Sirnilar results have been obtained for 1% C steel and 7075-T651 alumirrum [9].…”

Section: -T3 Alumirrummentioning

confidence: 96%

“…The crack extension rate, da/dn, was plotted versus stress intensity factor range, öK, in According to Sindair et al [9], since p 9! m + 2, most of the AE output is due to yielding and fracture within the plastic zone near the crack tip.…”

Section: -T3 Alumirrummentioning

confidence: 99%

“…It has been shown that under monotonic loading AE can detect yielding and that the cumulative AE output from a notched specimen is directly related to the stress intensity factor [2]. Acoustic ernission is very useful in detecting crack initiation and propagation under fatigue loading [3][4][5][6][7][8][9][10][11]. In application of the AE method, discrirnination between signal and noise is of pararnount importance.…”

Section: Introductionmentioning

confidence: 99%

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Acoustic Emission Monitoring of Fatigue Damage in Metals

Daniel

Luo

Sifniotopoulos

et al. 1997

Review of Progress in Quantitative Nondestructive Evaluation

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“…m + 2, most of the AE output is due to yielding and fracture within the plastic zone near the crack tip. Sirnilar results have been obtained for 1% C steel and 7075-T651 alumirrum [9].…”

Section: -T3 Alumirrummentioning

confidence: 96%

Section: -T3 Alumirrummentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Acoustic Emission Monitoring of Fatigue Damage in Metals

Daniel

Luo

Sifniotopoulos

et al. 1997

Review of Progress in Quantitative Nondestructive Evaluation

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“…AE monitoring will be more responsive to flaw growth in materials with higher γ. However, γ varies considerably with material and component geometry (Sinclair et al 1977) and the application of general formulas will result in estimates with great uncertainty. Appendix I of Article 13 of Section V of the ASME Code provides a general relationship for quantitative crack growth estimation in NPP components: where da/dt is crack growth in microinches/second and dN/dt represents AE activity in events/second.…”

Section: Measurement Frequency -Ae Is a Passive Monitoring Technique mentioning

confidence: 99%

Advanced Instrumentation, Information, and Control System Technologies: Nondestructive Examination Technologies - FY11 Report

Meyer¹,

Coble²,

Ramuhalli³

et al. 2011

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Licensees of commercial nuclear power plants in the United States are expected to submit license renewal applications for the period of operation of 60 to 80 years which has also been referred to as long term operation (LTO). The greatest challenges to LTO are associated with degradation of passive components as active components are routinely maintained and repaired or placed through maintenance programs. Some passive component degradation concerns include stress corrosion cracking of metal components, radiation induced embrittlement of the reactor pressure vessel, degradation of buried piping, degradation of concrete containment structures, and degradation of cables.Proactive management of passive component aging employs three important elements including online monitoring of degradation, early detection of degradation at precursor stages, and application of prognostics for the prediction of remaining useful life. This document assesses several nondestructive examination (NDE) measurement technologies for integration into proactive aging management programs. The assessment is performed by discussing the three elements of proactive aging management identified above, considering the current state of the industry with respect to adopting these key elements, and analyzing measurement technologies for monitoring large cracks in metal components, monitoring early degradation at precursor stages, monitoring the degradation of concrete containment structures, and monitoring the degradation of cables.Specific and general needs have been identified through this assessment. General needs identified include the need for environmentally rugged sensors that can operate reliably in an operating reactor environment, the need to identify parameters from precursor monitoring technologies that are unambiguously correlated with the level of pre-macro defect damage, and a methodology for identifying regions where precursor damage is most likely to initiate. v Summary Long-term operation (LTO) of the current fleet of nuclear power plants (NPPs) has been identified as high priority by the U.S. Department of Energy as part of an overall effort to meet rising demands for electricity and meet international obligations to lower greenhouse gas emissions. NPP operators are granted an initial license term of 40 years to operate and are eligible for multiple 20-year license extensions beyond the initial expiration. It is anticipated that most plants will apply for and be granted the initial 20-year license extension (21 initial license renewals have been approved thus far) but subsequent license extensions are less clear due to uncertainties regarding the performance of safety critical systems, structures and components (SSCs) beyond 60 years.Active SSCs (including pumps, valves, and rotating machinery) are well managed and undergo routine maintenance and repair/replacement activities through plant maintenance programs and are not expected to challenge LTO of NPPs. Passive SSCs (pipes, vessels, concrete, and cables) are managed by p...

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“…There are several sources of damage that contribute to AE, including plastic yielding, micro facture, crack initiation, crack propagation and crack rubbing [4]. 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].…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2018

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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.

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Acoustic emission analysis during fatigue crack growth in steel

Cited by 71 publications

References 12 publications

Acoustic Emission Monitoring of Fatigue Damage in Metals

Acoustic Emission Monitoring of Fatigue Damage in Metals

Advanced Instrumentation, Information, and Control System Technologies: Nondestructive Examination Technologies - FY11 Report

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

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