Time reversal methods in acousto-elastodynamics

Franck Assous, Moshe Lin

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

Abstract

The aim of the article is to solve an inverse problem in order to determine the presence and some properties of an elastic “inclusion” (an unknown object, characterized by elastic properties discriminant from the surrounding medium) from partial observations of acoustic waves, scattered by the inclusion. The method will require developing techniques based on Time Reversal methods. A finite element method based on variational acousto-elastodynamics formulation will be derived and used to solve to solve the forward, and then, the time reversed problem. A criterion, derived from the reverse time migration framework, is introduced, to help use to construct images of the inclusions to be determined. Our approach will be applied to configurations modeling breast cancer detection, using simulated ultrasound waves.

Original languageEnglish
Title of host publication8th International Conference on Computational Methods for Coupled Problems in Science and Engineering, COUPLED PROBLEMS 2019
EditorsEugenio Onate, Manolis Papadrakakis, Bernhard A. Schrefler
Pages743-750
Number of pages8
ISBN (Electronic)9788494919459
StatePublished - 2021
Event8th International Conference on Computational Methods for Coupled Problems in Science and Engineering, COUPLED PROBLEMS 2019 - Barcelona, Spain
Duration: 3 Jun 20195 Jun 2019

Publication series

Name8th International Conference on Computational Methods for Coupled Problems in Science and Engineering, COUPLED PROBLEMS 2019

Conference

Conference8th International Conference on Computational Methods for Coupled Problems in Science and Engineering, COUPLED PROBLEMS 2019
Country/TerritorySpain
CityBarcelona
Period3/06/195/06/19

Keywords

  • Elastic waves
  • Elastodynamics
  • Finite element
  • Inverse problems
  • Time reversal
  • Wave propagation

Fingerprint

Dive into the research topics of 'Time reversal methods in acousto-elastodynamics'. Together they form a unique fingerprint.

Cite this