A Robust Inversion Method for Quantitative 3D Shape Reconstruction from Coaxial Eddy Current Measurements
Document Type
Article
Publication Date
1-1-2017
Abstract
This work is motivated by the monitoring of conductive clogging deposits in steam generator at the level of support plates. One would like to use multistatic measurements from coaxial coils in order to obtain estimates on the clogging volume. We propose a 3D shape optimization technique based on simplified shape parametrization of the deposit. This parametrization is adapted to the measurement nature and resolution. The direct problem is modeled by the eddy current approximation of time-harmonic Maxwell’s equations in the low frequency regime. A potential formulation is adopted in order to easily handle the complex topology of the industrial problem setting. We first characterize the shape derivatives of the deposit impedance signal using an adjoint field technique. For the inversion procedure, the direct and adjoint problems have to be solved for each vertical probe position which is excessively time- and memory-consuming. To overcome this difficulty, we propose and discuss a steepest descent method based on a invariant mesh. Numerical experiments are presented to illustrate the convergence and the efficiency of the method.
Identifier
84978101102 (Scopus)
Publication Title
Journal of Scientific Computing
External Full Text Location
https://doi.org/10.1007/s10915-016-0241-6
ISSN
08857474
First Page
29
Last Page
59
Issue
1
Volume
70
Recommended Citation
Haddar, Houssem; Jiang, Zixian; and Riahi, Mohamed Kamel, "A Robust Inversion Method for Quantitative 3D Shape Reconstruction from Coaxial Eddy Current Measurements" (2017). Faculty Publications. 9971.
https://digitalcommons.njit.edu/fac_pubs/9971
