Share Email Print
cover

Proceedings Paper • new

Updating the finite element model for electrical impedance tomography using self-organizing map
Author(s): Yingjun Zhao; Martin Schagerl; Christoph Kralovec
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Electrical impedance tomography (EIT) is recently demonstrated to be viable for damage localization over a spatial area. The algorithm reconstructs the spatial conductivity distribution within a defined boundary via boundary voltage measurements. To solve this inverse problem, a finite element model (FEM) conforming to the interrogated geometry is required. Previous studies on identifying a center crack’s propagation suggests that an FEM-updating strategy may help identify both the existence of a crack and the plastic zones formed around the crack’s tips. In this paper a data-driven algorithm is applied to automatically update the FEM. The selforganizing map algorithm is adopted to categorize the reconstructed conductivity data, tracing the boundary of the crack to be updated as material-absence. The EIT results from the updated FEM model are able to identify damage location and damage severity with desired accuracy.

Paper Details

Date Published: 27 March 2018
PDF: 8 pages
Proc. SPIE 10598, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2018, 1059832 (27 March 2018); doi: 10.1117/12.2296894
Show Author Affiliations
Yingjun Zhao, Johannes Kepler Univ. Linz (Austria)
Martin Schagerl, Johannes Kepler Univ. Linz (Austria)
Christoph Kralovec, Johannes Kepler Univ. Linz (Austria)


Published in SPIE Proceedings Vol. 10598:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2018
Hoon Sohn, Editor(s)

© SPIE. Terms of Use
Back to Top