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Identification of Stiffness Coefficients in Resonant Ultrasound Spectroscopy Using Particle Swarm Optimization

  • Beihang University
  • Sorbonne Université

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Resonant ultrasound spectroscopy (RUS) is an experimental method for measuring the full elastic tensor of a small solid sample from the free resonant frequencies. One important step of the method is to adjust the stiffness coefficients in a model to minimize the difference between computed and measured frequencies. This inverse problem is traditionally solved with the Levenberg-Marquardt (LM) minimization algorithm. The convergence rate and accuracy of the method depend on the initial guess of the elastic tensor that should be relatively close to the sought solution in order to reach the global minimum (as opposed to a local one). To overcome this limitation, we introduce in this paper the particle swarm optimization (PSO) algorithm for its potential in finding a global solution without the need for an accurate initial guess for the model parameters.

Original languageEnglish
Title of host publication2019 IEEE International Ultrasonics Symposium, IUS 2019
PublisherIEEE Computer Society
Pages643-645
Number of pages3
ISBN (Electronic)9781728145969
DOIs
StatePublished - Oct 2019
Event2019 IEEE International Ultrasonics Symposium, IUS 2019 - Glasgow, United Kingdom
Duration: 6 Oct 20199 Oct 2019

Publication series

NameIEEE International Ultrasonics Symposium, IUS
Volume2019-October
ISSN (Print)1948-5719
ISSN (Electronic)1948-5727

Conference

Conference2019 IEEE International Ultrasonics Symposium, IUS 2019
Country/TerritoryUnited Kingdom
CityGlasgow
Period6/10/199/10/19

Keywords

  • Bayesian formulation
  • particle swarm optimization
  • resonant ultrasound spectroscopy
  • stiffness coefficients

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