Yingjun Zhao, Martin Schagerl, Christoph Kralovec,
"Updating the finite element model for electrical impedance tomography using self-organizing map"
: SPIE Smart Structures + Nondestructive Evaluation, Serie Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2018, Vol. 10598, 3-2018
Original Titel:
Updating the finite element model for electrical impedance tomography using self-organizing map
Sprache des Titels:
Englisch
Original Buchtitel:
SPIE Smart Structures + Nondestructive Evaluation
Original Kurzfassung:
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 self-organizing 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
Sprache der Kurzfassung:
Englisch
Serie:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2018
Forschungs-