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首页> 外文期刊>Scientific reports. >Noninvasive low-cycle fatigue characterization at high depth with photoacoustic eigen-spectrum analysis
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Noninvasive low-cycle fatigue characterization at high depth with photoacoustic eigen-spectrum analysis

机译:具有光声鉴定谱分析的高深度的非侵入性低循环疲劳表征

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摘要

In this work, photoacoustic eigen-spectrum analysis was proposed for noninvasively characterizing the mechanical properties of materials. We theoretically predicted the relationship between the photoacoustic eigen-spectra of cylindrical optical absorbers and their mechanical properties. Experimental measurements of eigen-spectra extracted from photoacoustic coda waves agreed well with the theoretical predictions. We then applied the photoacoustic eigen-spectrum analysis for contactless monitoring of low-cycle fatigue damage. Experiments showed that the photoacoustic eigen-spectra were closely related to the degree of low-cycle fatigue. This study might enhance the contrast of photoacoustic imaging ford mechanical characterization.
机译:在这项工作中,提出了光声鉴定分析,用于非侵入材料的材料的机械性能。理论上,理论上预测了圆柱形光学吸收剂的光声尖端光谱与其机械性能之间的关系。从光声CODA波提取的eIGen光谱的实验测量与理论预测相同一致。然后,我们应用了光声鉴定分析,以实现低循环疲劳损伤的非接触式监测。实验表明,光声eIgen-Spectra与低循环疲劳程度密切相关。该研究可能提高光声成像福特机械表征的对比度。

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