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

被引：33

作者：

Shrestha, Sulochana ^{[1
]}

Kannan, Manigandan ^{[1
]}

Morscher, Gregory N. ^{[1
]}

Presby, Michael J. ^{[1
]}

Razavi, S. Mostafa ^{[1
]}

机构：

[1] Univ Akron, Dept Mech Engn, Akron, OH 44325 USA

来源：

INTERNATIONAL JOURNAL OF FATIGUE | 2021年 / 142卷

关键词：

Fatigue crack; Non-destructive evaluation; Acoustic emission; Direct Current Potential Drop; Digital image correlation; CRACK GROWTH; PROPAGATION; DAMAGE;

D O I：

10.1016/j.ijfatigue.2020.105924

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

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.

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页数：10

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