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In-situ fatigue life analysis by modal acoustic emission, direct current potential drop and digital image correlation for steel
International Journal of Fatigue ( IF 6 ) Pub Date : 2021-01-01 , DOI: 10.1016/j.ijfatigue.2020.105924
Sulochana Shrestha , Manigandan Kannan , Gregory N. Morscher , Michael J. Presby , S. Mostafa Razavi

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.

中文翻译:

基于模态声发射、直流电势降和数字图像相关的钢原位疲劳寿命分析

摘要 优化声发射 (AE) 有助于了解金属结构的疲劳裂纹扩展。使用 AE 对带边缘缺口的钢进行疲劳试验研究,以了解裂纹形成和扩展的来源和位置。直流电势降 (DCPD) 和数字图像相关 (DIC) 等非破坏性技术有助于解释 AE。AE 的累积与类似于电位降值和 DIC 应变场的引发和传播密切相关。2D AE 源定位技术已成功应用于监测裂纹扩展。频率含量与裂纹扩展模式相关。
更新日期:2021-01-01
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