본 연구에서는 아스팔트 콘크리트 도로포장의 표면균열 검출을 위해 합성곱 신경망을 이용하였다. 합성곱 신경망의 학습에 사용되는 표면균열 이미지 데이터의 양에 따른 합성곱 신경망의 성능향상 정도를 평가하였다. 사용된 합성곱 신경망의 구조는 5개의 층으로 구성되 어있으며, 3x3 크기의 convolution filter와 2x2 크기의 pooling kernel을 사용하였다. 합성곱 신경망의 학습을 위해서 도로노면 조사 장비를 통해 구축된 국내 도로포장 표면균열 이미지를 활용하였다. 표면균열 이미지 데이터를 학습한 합성곱 신경망 모델의 표면균열 검출 정확도, 정밀도, 재현율, 미검출율, 과검출율을 평가하였다. 가장 많은 양의 데이터를 학습한 합성곱 신경망 모델의 표면균열 검출 정확도, 정밀도, 재현율은 96.6% 이상, 미검출율, 과검출율은 3.4% 이하의 성능을 나타내었다.

Recently, road maintenance is important for road performance and longevity in accordance with the increase of road infrastructure, so research on efficient damage detection has been actively carried out. In this study, we developed a technology to automatically detect the cracks on the highway road surface by using the road surface image of UAV and deep learning based object detection technology, which was applied to the actual highway image to verify its performance.

It is largely divided into two kinds in freezing phenomenon of the tunnel. Waterproof membrane damage inside the tunnel construction joints leaked into groundwater leak occurs in the icicle and despite the absence of damage to the waterproofing membrane, waterproofing membrane from the back of the ground water is frozen freeze by interfering with smooth drainage this phenomenon is enlarged and local pressure tunnel ceiling, a crack occurred near the side wall is generated

In this study, impact elastic-wave method was performed at the bottom surface of RC slab cut from an existing highway bridges to survey the horizontal cracks. Before measurements by impact elastic-wave method, impact response analysis was applied to determine optimal steel ball diameter, distance between impact point and receiving point of elastic-wave. Efficiency of analysis-aided impact elastic-wave method was confirmed by drilling and observing the interior of the RC slab by stick scanner. Evaluation results by this method agreed well with results of visual inspection. Thus, validity of the analysis-aided impact elastic-wave method on detection of horizontal cracks in RC slabs of highway bridges was demonstrated.