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This research project seeks to develop the Ultrasonic-Electrical Concrete Assessment Method, an innovative approach for early detection of micro-cracks in concrete structures within nuclear power plants. These micro-cracks can compromise the structural integrity of concrete, increasing vulnerability to damage and potentially affecting safety and performance. By integrating advanced technologies—including ultrasonic waves, electrical measurements, thermal imaging, and 3D scanning—this method aims to deliver a comprehensive and accurate crack detection system. Controlled concrete samples with induced cracks will be utilized to evaluate the effectiveness of each technique. Additionally, artificial intelligence will be employed to synthesize data from these methods, enabling predictive insights into crack formation and progression. This research will empower power plant operators with tools to identify and address concrete issues proactively, enhancing maintenance strategies and ensuring safer operations.
Chul Min Yeum;Giovanni Cascante
Canadian Nuclear Laboratories
Engineering
Professional, scientific and technical services; Public administration; Utilities
University of Waterloo
Accelerate
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