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Determining kernels in linear viscoelasticity.
- 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]
- Subjects :
- *WAVE equation
*INVERSE problems
*KERNEL functions
*VISCOELASTICITY
Subjects
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