Acoustic emissions in vertebral cortical shell failure.

Journal Article (Journal Article)

Understanding the initiation of bony failure is critical in assessing the progression of bone fracture and in developing injury criteria. Detection of acoustic emissions in bone can be used to identify fractures more sensitively and at an earlier inception time compared to traditional methods. However, high rate loading conditions, complex specimen-device interaction or geometry may cause other acoustic signals. Therefore, characterization of the isolated local acoustic emission response from cortical bone fracture is essential to distinguish its characteristics from other potential acoustic sources. This work develops a technique to use acoustic emission signals to determine when cortical bone failure occurs by characterization using both a Welch power spectral density estimate and a continuous wavelet transform. Isolated cortical shell specimens from thoracic vertebral bodies with attached acoustic sensors were subjected to quasistatic loading until failure. The resulting acoustic emissions had a wideband frequency response with peaks from 20 to 900 kHz, with the spectral peaks clustered in three bands of frequencies (166 ± 52.6 kHz, 379 ± 37.2 kHz, and 668 ± 63.4 kHz). Using these frequency bands, acoustic emissions can be used as a monitoring tool in biomechanical spine testing, distinguishing bone failure from structural response. This work presents a necessary set of techniques for effectively utilizing acoustic emissions to determine the onset of cortical bone fracture in biological material testing. Acoustic signatures can be developed for other cortical bone regions of interest using the presented methods.

Full Text

Duke Authors

Cited Authors

  • Shridharani, JK; Ortiz-Paparoni, MA; Op 't Eynde, J; Bass, CR

Published Date

  • March 2021

Published In

Volume / Issue

  • 117 /

Start / End Page

  • 110227 -

PubMed ID

  • 33517244

Electronic International Standard Serial Number (EISSN)

  • 1873-2380

International Standard Serial Number (ISSN)

  • 0021-9290

Digital Object Identifier (DOI)

  • 10.1016/j.jbiomech.2021.110227

Language

  • eng