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  • 标题:Noninvasive low-cycle fatigue characterization at high depth with photoacoustic eigen-spectrum analysis
  • 本地全文:下载
  • 作者:Xiaoxiang Gao ; Chao Tao ; Rong Zhu
  • 期刊名称:Scientific Reports
  • 电子版ISSN:2045-2322
  • 出版年度:2018
  • 卷号:8
  • 期号:1
  • 页码:7751
  • DOI:10.1038/s41598-018-26140-x
  • 语种:English
  • 出版社:Springer Nature
  • 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.
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