Time reversal with partial information for wave refocusing and scatterer identification

DOI10.1016/j.cma.2011.12.005zbMath1243.74074OpenAlexW2007273095MaRDI QIDQ438138

Dan Givoli, Eli Turkel

Publication date: 20 July 2012

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cma.2011.12.005

zbMATH Keywords

wavesinverse problemstime reversalpartial informationrefocusingscatterer identification

Mathematics Subject Classification ID

Scattering theory for PDEs (35P25) Inverse problems for PDEs (35R30) Inverse problems for waves in solid mechanics (74J25) Numerical methods for inverse problems for initial value and initial-boundary value problems involving PDEs (65M32)

Related Items (16)

Time reversal for elastic scatterer location from acoustic recording ⋮ Full-waveform redatuming via a TRAC approach: a first step towards target oriented inverse problem ⋮ Solving an inverse acousto-elastic scattering problems by combining full-waveform redatuming and time reversal ⋮ Shape identification of scatterers using a time-dependent adjoint method ⋮ Finite element method based computational time reversal in elastodynamics: refocusing, reconstruction and its numerical sensitivity ⋮ A comparison of time-reversal and inverse-source methods for the optimal delivery of wave energy to subsurface targets ⋮ Signal-to-noise ratio analysis for time-reversal based imaging techniques in bounded domains ⋮ Full-waveform inversion using level set and cut elements for sharp-interface problems ⋮ Source identification in time domain electromagnetics ⋮ Comparison of the FWI-Adjoint and Time Reversal Methods for the Identification of Elastic Scatterers ⋮ Iterative time reversal based flaw identification ⋮ An augmented time reversal method for source and scatterer identification ⋮ Time-dependent current source identification for numerical simulations of Maxwell's equations ⋮ Time reversal for crack identification ⋮ Combined arrival-time imaging and time reversal for scatterer identification ⋮ A physically-informed deep-learning model using time-reversal for locating a source from sparse and highly noisy sensors data

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