Novel Characterization of Micro-scale Anomalies in Adhesively Jointed Structures
The purpose of my PhD thesis is to develop an integrate model of nonlinear ultrasound based on numerical and experimental analyses to accurately assess contaminant-based faults in adhesively jointed structures, and track degradation to reliably predict the remaining life of the structures. While adhesive joints have been widely applied in the aerospace and automotive fields, contaminants are a critical cause for defect initiation in adhesive joints. Such defects reduce structural lifetime and limit use of adhesive joints in safety critical. To overcome this limitation, in this study, nonlinear ultrasound has been used to give higher sensitivity in diagnostics of contaminant-based defects; contaminant layered kissing bond at interfaces (interfacial defects), and contaminant mixed poor cohesion in adhesive materials (bulk defects). A numerical model was used to understand the interaction between ultrasonic waves and a contaminant layer. In addition, nonlinear ultrasonic experiments accurately detected the contaminant mixed into the adhesive and validated the predicted effects of the contaminant on material degradation of adhesive materials. The development of the integrated measure model, based on nonlinear ultrasound, will provide the effective tool to monitor and then form the basis for prognostics which predict the remaining life of adhesively jointed structures through detecting and monitoring contaminant-based faults.
How to Cite
Adhesive joints, Contaminants based anomalies, Nonlinear ultrasonic diagnostics
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