In this paper, optical infrared thermography simulation using thermal wave imaging technique is performed to analyze the thermal characteristics of delamination defects. In this study, lock-in thermography(LIT) and pulsed thermography(PT) simulation was performed to analyze the samples of european traditional tiles with delamination defects, and the analytical modeler was developed through the ANSYS 19.2 transient thermal analysis tool. Applied sinusoidal heating with modulation frequency according to pulse heating and phase locking technique. The thermal response of the sample surface by heating was recorded and then data analysis was performed. The temperature gradient characteristics of each technique were compared, and phase angle was calculated for the LIT to analyze the parameters for the experiment setting. The simulation model was developed as a useful data for practical optical infrared thermography tests.

Nondestructive testing is a method of inspecting particular target objects without destructing them in industrial sites. Infrared thermal imaging is one of the nondestructive testing techniques. Among them, lock-in infrared thermography technique is a technique to detect a defect by generating a temperature difference of an object using periodic heat waves. This paper deals with the development of lock-in infrared thermography technique by using numerical analysis model for SM45C metal specimens. As a result, the appropriate frequency was determined for defect detection in SM45C metal specimen by using the established thermal behavior mechanism by periodic heat wave.

In this study, spatio-temporal distribution was analyzed with the number of days for summer heat wave and winter cold wave defined as three or more consecutive +5% quantile days and -5% quantile days, respectively, by using daily maximum temperature in summer and daily minimum temperature in winter during 1973-2015. Although monthly heat wave occurrence has been only concentrated in July and August during the 1970s and 1980s, it had further extended into June and September since the 2000s. Monthly cold spell occurrence has been distinguished by increasing occurrence ratio in the month of December since the 2000s. The occurrences of heat waves were classified into either strong or weak cluster depending on intensity and magnitude over the entire region of South Korea rather than in specific areas. On the other hand, the occurrences of cold spell were classified by intensity of cold spell and spatial distribution of dominant cold spell areas over South Korea.