Affiliation:
1. School of Mathematics and Statistics, Changchun University of Science and Technology, Changchun 130022, China
2. Experiment Centre of Mathematics, Changchun University of Science and Technology, Changchun 130022, China
Abstract
Aiming at the inverse source problem of an elastic wave, a dual-driver solver is considered to reconstruct the point sources. In this way, the number, location, and magnitude of the point sources can be reconstructed from far-field measurement data. The solver is composed of a data-driven module and a physical-driven module, which is coupled by a loss. The loss of the data-driven module and the physical-driven module are both the driving force of the solver evolution. The solver takes the far-field data as the input, and the number, location, and magnitude of the point sources as the output. It is trained by the Adam algorithm. Numerical experiments show that this method is effective for reconstructing the multi-sources.
Subject
General Physics and Astronomy
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