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Determining kernels in linear viscoelasticity.

Authors :
Kaltenbacher, Barbara
Khristenko, Ustim
Nikolić, Vanja
Rajendran, Mabel Lizzy
Wohlmuth, Barbara
Source :
Journal of Computational Physics. Sep2022, Vol. 464, pN.PAG-N.PAG. 1p.
Publication Year :
2022

Abstract

In this work, we investigate the inverse problem of determining the kernel functions that best describe the mechanical behavior of a complex medium modeled by a general nonlocal viscoelastic wave equation. To this end, we minimize a tracking-type data misfit function under this PDE constraint. We perform the well-posedness analysis of the state and adjoint problems and, using these results, rigorously derive the first-order sensitivities. Numerical experiments in a three-dimensional setting illustrate the method. • Kernel recovery method for general nonlocal viscoelasticity. • Minimization of a tracking-type data misfit function governed by non-local viscoelastic wave equations. • Rigorous derivation of first-order sensitivities. • Numerical experiments in three-dimensional settings. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00219991
Volume :
464
Database :
Academic Search Index
Journal :
Journal of Computational Physics
Publication Type :
Academic Journal
Accession number :
157353350
Full Text :
https://doi.org/10.1016/j.jcp.2022.111331