Chun‐Gon Kim
Korea Advanced Institute of Science and Technology · Engineering
About the Lab
Professor Chun-Gon Kim's research lab specializes in advanced materials and structural health monitoring, with a focus on smart composite materials, impact damage detection, and the mechanical behavior of advanced laminated structures. The lab develops innovative non-destructive evaluation techniques using smart sensors—such as PZT and fiber Bragg grating (FBG) sensors—to enable real-time, on-line diagnostics of impact-induced damage in composites. It also investigates the mechanical enhancement mechanisms of functional materials, including shear thickening fluid (STF)-impregnated textiles for improved ballistic performance, and explores the influence of laminate architecture and core properties on delamination resistance in sandwich structures. The lab’s work bridges fundamental material science with practical engineering applications in aerospace, defense, and structural integrity monitoring.
Research Overview
Research Output Trend
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Selected Papers
15Building upon the success and relevance of the 2014 Magnetism Roadmap, this 2017 Magnetism Roadmap edition follows a similar general layout, even if its focus is naturally shifted, and a different group of experts and, thus, viewpoints are being collected and presented. More importantly, key developments have changed the research landscape in very relevant ways, so that a novel view onto some of the most crucial developments is warranted, and thus, this 2017 Magnetism Roadmap article is a timely
Low-velocity impact damage is a major concern in the design of structures made of advanced laminated composites, because such damage is mostly hidden inside the laminates and cannot be detected by visual inspection. It is necessary to develop the impact monitoring techniques providing on-line diagnostics of smart composite structures susceptible to impacts. In this paper, we discuss the process for impact location detection in which the generated acoustic signals are detected by PZT using the im
Research Areas
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