With the increasing number of aging buildings across Korea, emerging maintenance technologies have surged. One such technology is the non-contact detection of concrete cracks via thermal images. This study aims to develop a technique that can accurately predict the depth of a crack by analyzing the temperature difference between the crack part and the normal part in the thermal image of the concrete. The research obtained temperature data through thermal imaging experiments and constructed a big data set including outdoor variables such as air temperature, illumination, and humidity that can influence temperature differences. Based on the collected data, the team designed an algorithm for learning and predicting the crack depth using machine learning. Initially, standardized crack specimens were used in experiments, and the big data was updated by specimens similar to actual cracks. Finally, a crack depth prediction technology was implemented using five regression analysis algorithms for approximately 24,000 data points. To confirm the practicality of the development technique, crack simulators with various shapes were added to the study.

PURPOSES: The purpose of this study is to investigate the relationship between the crack propagation depth through a slab and crack width movement in continuously reinforced concrete slab systems (CRCSs). METHODS : The crack width movements in continuously reinforced concrete pavement (CRCP) and continuously reinforced concrete railway track (CRCT) were measured in the field for different crack spacings. In addition, the crack width movements in both CRCP and CRCT were simulated using finite element models of CRCP and CRCT. The crack width movements, depending on the unit temperature change, were obtained from both the field tests and numerical analysis models.. RESULTS: The experimental analysis results show that the magnitudes of the crack width movements in CRCSs were related to not only the crack spacing, but also the crack propagation depth. In CRCP, the magnitudes of the crack width movements were more closely related to the crack propagation depths. In CRCT, the crack width movements were similar for different cracks since most were through cracks. If the numerical analysis was performed to predict the crack width movements by assuming that the crack propagates completely through the slab depth, the predicted crack width movements were similar to the actual ones in CRCT, but those may be overestimated in CRCP. CONCLUSIONS: The magnitudes of the crack width movements in CRCSs were mainly affected by the crack propagation depths through the slabs.

현장에서 콘크리트 구조물의 균열 깊이를 추정하기 위한 자기 보정 표면파 투과 측정과 측정된 투과 함수의 차단주파수를 이용하는 기존의 방법은 측정 조건에 따른 투과 함수의 변동성이 매우 커서 실제로 적용하기가 어려운 단점이 있다. 본 연구에서는 차단주파수와 같이 특정 주파수를 선정하여 균열 깊이를 추정하는 방법 대신에 측정된 자기 보정 표면파 투과 함수 자체를 균열 깊이 추정에 이용하는 방법을 제안하고자 한다. 이를 위하여 다양한 균열 깊이에서 측정된 자기 보정 표면파 투과 함수를 주성분 분석법을 이용하여 차원을 축소한 후, 축소된 투과 함수를 인공신경망의 입력으로 사용하여 이로부터 균열 깊이를 추정하는 방법을 제시하였다. 한편, 제안된 방법의 유효성을 판단하기 위하여 서로 다른 균열 깊이를 가진 5개의 실험체에 대하여 실험적인 연구를 수행하였으며, 실험 결과 제안된 방법이 콘크리트 구조물이 균열 질이 평가에 매우 유효한 방법임을 알 수 있었다.

The depth of a surface-breaking crack in a concrete slab is characterized by using airborne surface wave transmission measurements. Two air-coupled sensors are used to measure surface waves across surface-breaking cracks with varying depths from 0 mm to 100 mm in a concrete slab (1500 X 1500 X 180 mm3). Resulting transmission coefficient and crack depth relation from a series of experimental studies shows a good agreement with theoretical results previously obtained by the author.

본 논문에서는 비접촉 표면파 측정을 이용하여 콘크리트 슬래브에 발생한 표면균열의 깊이를 측정하기 위한 비파괴 검사법을 연구하였 다. 이를 위하여 표면파 측정, 해석 및 균열 깊이 평가의 과정을 포함한 새로운 측정모델을 제안하였다. 먼저, 3차원 유한요소해석 모델을 이용하여 표면파의 에너지와 콘크리트 균열의 깊이의 상관관계를 표현하는 표면파 전달함수를 구하였다. 제안된 측정모델은 실험을 통하여 증명하였다. 한 쌍의 비접촉 센서를 이용하여 깊이 0~100mm의 10개의 표면균열을 포함한 콘크리트 슬래브 (1500×1500×180mm3)을 통 과하여 전달되는 표면파를 측정하였다. 측정모델은 콘크리트 균열 깊이에 대하여 약 최대 10%의 오차를 보이며 실제 깊이를 예측하는 것 으로 나타났다. 비접촉 표면파 측정을 통하여 얻은 결과는 기존의 TOFD에 바탕을 둔 초음파법에서 얻은 결과보다 향상된 정확도를 보이 는 것으로 나타났다. 특히 비접촉 센서의 특성상 매우 향상된 측정 속도 및 측정값의 일관성을 얻을 수 있었다. 본 연구에서는 모델의 실제 구조물에 적용성에 관한 토의를 포함하고 있다.

The depth of a surface-breaking crack in a concrete slab is characterized by using non-contact surface wave transmission measurements. Two air-coupled sensors are used to measure surface waves across surface-breaking cracks with varying depths from 0mm to 100mm in a concrete slab (1500X1500X180mm3). Resulting transmission coefficient and crack depth relation from a series of experimental studies shows a good agreement with theoretical results previously obtained by the author.