Author, Institution: Aadhik Asokkumar, Kaunas University of Technology
Science area, field of science: Technological Sciences, Measurement Engineering, T010
Research Supervisor: Prof. Dr. Renaldas Raišutis (Kaunas University of Technology, Measurement Engineering, T010)
Dissertation Defence Board of Measurement Engineering Science Field:
Prof. Dr. Arminas Ragauskas (Kaunas University of Technology, Technological Sciences, Measurement Engineering, T010) – chairperson
Prof. Dr. Paulius Griškevičius (Kaunas University of Technology, Technological Sciences, Measurement Engineering, T010)
Prof. Dr. Darius Plonis (Vilnius Gediminas Technical University, Technological Sciences, Electrical and Electronics Engineering, T001)
Dr. Madis Ratassepp (Tallinn University of Technology, Estonia, Technological Sciences, Measurement Engineering, T010)
Senior Researcher Dr. Egidijus Žukauskas (Kaunas University of Technology, Technological Sciences, Measurement Engineering, T010)
Dissertation defence meeting will be at Rectorate Hall of Kaunas University of Technology (K. Donelaičio 73-402, Kaunas)
The doctoral dissertation is available at the library of Kaunas University of Technology (Gedimino 50, Kaunas) and on the internet: A. Asokkumar el. dissertation.pdf
Annotation: This dissertation advances Guided Wave (GW)-based Structural Health Monitoring (SHM) by addressing critical challenges in damage detection for large metallic/composite structures (e.g., aircraft, wind turbines). It introduces three methodologies to enhance GW signal processing and imaging: (1) A streamlined framework reduces reliance on user-defined parameters in GW analysis, prioritizing versatile, low-variable techniques to improve adaptability across materials and defect types. (2) For RAPID imaging—a core SHM method—a novel post-processing strategy suppresses interference artifacts caused by overlapping probability maps without altering the core algorithm or introducing new variables, validated on a carbon fiber-reinforced plastic laminate plate with simulated localized defects. (3) A baseline-free approach for localized damage imaging using filtered back projection overcomes the absence of baseline signals via mean-based sinogram thresholding, reconstructing defect geometry in glass fiber-reinforced plastic with impact damage. By integrating robust signal conditioning, feature extraction, and imaging innovations, this research bridges theoretical and practical gaps, delivering computationally efficient, field-deployable solutions for high-resolution damage mapping and quantification in critical infrastructure, enhancing reliability for real-world SHM applications.
June 17 d. 15:00
Rectorate Hall at Kaunas University of Technology (K. Donelaičio 73-402, Kaunas)
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