Probability of detection in corrosion monitoring with Fe-C coated, long period fiber gratings (LPFG) sensors
This program applied two statistical methods (MLaD and REG) to the test results of Fe-C coated LPFG corrosion sensors to determine the steel mass loss at 90% probability of detection and the largest steel mass loss that may miss from a corrosion inspection at 95% upper confidence bounds. Fe-C coated LPFG sensors can reflect the corrosion process by the wavelength shift in a series of transmission spectra due to the change of the refractive index of the Fe-C coating. POD is a method used to determine the capability of an inspection as a function of defect type and defect size.
Missouri Univ. of Science and Technology (United States)
Dr. Chen received his Ph.D. degree from the State University of New York at Buffalo in 1992. Since he joined Missouri University of Science and Technology in 1996, Dr. Chen has authored or co-authored over 400 technical publications in structural health monitoring (SHM), structural control, structural and robotic dynamics, computational and experimental mechanics, life-cycle assessment and deterioration mitigation of infrastructure, multi-hazards assessment and mitigation, transportation infrastructure preservation and resiliency including over 200 journal papers, 5 book chapters, and 27 keynote and invited presentations at international conferences. He chaired the 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII-9), St. Louis, Missouri, August 4-7, 2019. He was nominated and elected to be the 2019 International SHM Person of the Year. He is a fellow of American Society of Civil Engineers and a fellow of International Society of SHMII.