声发射
反褶积
声学
材料科学
波形
信号(编程语言)
源函数
亥姆霍兹自由能
激发
反问题
逆方法
反向
结构工程
计算机科学
物理
工程类
数学
数学分析
算法
电气工程
电信
几何学
量子力学
程序设计语言
天体物理学
雷达
应用数学
作者
Mohammad Faisal Haider,Roshan Joseph,Victor Giurgiutiu
摘要
A novel method is proposed in this paper to extract acoustic emission (AE) source using Helmholtz potentials approach. In order to characterize the source in terms of potentials the underlying physics is to detect the AE signals and then develop an inverse algorithm to characterize the source. According to the new concept, the source can be characterized it provides the excitation potential information from the crack and that can be used to diagnose the crack (crack type and crack growth etc.). An AE experiment was designed to measure the acoustic emissions from the fatigue crack growth. A test specimen was made of 1 mm thick 304-steel material. A small hole (1 mm diameter) was drilled at the center of the specimen to initiate the fatigue crack. The specimen was subjected to the cyclic loadings by using the hydraulic MTS machine. AE waveforms are generated by convolutions of AE source functions, plate transfer functions. An inverse algorithm was developed to characterize the source of AE signal. AE signal analysis are done to determine AE source function using deconvolution process.
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