Linear and nonlinear characterization of limestone rock using noncollinear ultrasonic wave mixing

Megan E. McGovern, Henrique Reis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Characterization of dolomitic limestone rock is presented using linear and nonlinear ultrasonic approaches. The linear approach is based upon the concept of complex moduli, which is estimated using ultrasonic dilatational and shear phase velocity measurements and the corresponding attenuations. The nonlinear approach is based upon noncollinear wave mixing, involving mixing of two dilatational waves. Criteria were used to assure that the detected scattered wave originated via wave interaction in the limestone and not from nonlinearities in the testing equipment. These criteria included frequency and propagating direction of the resultant scattered wave, and the time-of-flight separation between the two primary waves and the resulting scattered wave. Three cases of non-collinear interaction of two longitudinal waves are presented and discussed including one that requires only access to a plane surface of the stone test sample.

Original languageEnglish (US)
Title of host publicationHealth Monitoring of Structural and Biological Systems 2014
PublisherSPIE
ISBN (Print)9780819499905
DOIs
StatePublished - 2014
EventHealth Monitoring of Structural and Biological Systems 2014 - San Diego, CA, United States
Duration: Mar 10 2014Mar 13 2014

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9064
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Other

OtherHealth Monitoring of Structural and Biological Systems 2014
Country/TerritoryUnited States
CitySan Diego, CA
Period3/10/143/13/14

Keywords

  • Damage accumulation
  • Limestone
  • Materials characterization
  • Non-collinear wave mixing
  • Nonlinear response
  • Nonlinear ultrasonics

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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