• 콘크리트학회논문집
• /
• 제19권1호
• /
• pp.57-65
• /
• 2007

지난 수년간 콘크리트의 염소이온 침투와 유관되어 실험 방법론 및 해석적 모델 기법의 개발에 많은 발전이 있어 왔다. 그러나 실제 콘크리트 구조물에는 다소의 균열이 존재하며 이는 장기 내구성에 큰 영향을 줄 수 있음에도 불구하고 대부분의 연구들은 비균열의 콘크리트를 대상으로 연구되어 온 문제점이 있었으며 균열이 존재하는 콘크리트의 염소이온 침투에 대한 연구는 매우 드문 실정이다. 염소이온 침투에 대한 균열폭의 임계치는 유지관리 차원에서 필요하지만, 대부분 콘크리트 코드는 사용성의 견지에서 허용 균열폭을 보편적인 값 0.3mm로 제안하고 있을 뿐, 염소이온 침투 및 내구성의 견지에서 임계 균열폭에 대한 규정도 부재한 실정이다. 이미 제안된 값도 연구자들마다 상이하여 논란의 여지가 있다. 본 연구는 임계 균열폭의 도출을 목적으로 균열이 콘크리트의 염소이온 침투에 미치는 영향을 고찰하였다. 실험적 방법으로 다양한 균열폭과 균열 깊이를 실험 변수로 하여 급속 염소이온 침투 실험 (RCMT)를 행하였다. 한편, 임계 균열폭이 갖는 공학적 의미를 설명하고자, 균열폭에 따른 염소이온 침투의 현상학적 모델이 제안되었다. 즉, 균열된 콘크리트는 3 구간으로 나누어지며 내부 안쪽으로 들어갈수록 확산자유 영역, 확산경화 영역, 순수 확산 영역의 3가지 구간이 존재한다. 이는 균열폭에 따른 염소이온 확산계수를 산출하기 위한 해석적 방법론의 개발에 이용될 수 있을 것으로 사료된다.

• 한국소음진동공학회논문집
• /
• 제17권7호
• /
• pp.605-610
• /
• 2007

In this paper a dynamic behavior(natural frequency) of a cracked cantilever beam subjected to follower force is presented. In addition, an analysis of the flutter and buckling instability of a cracked cantilever beam subjected to a follower compressive load is presented. Based on the Euler-Bernoulli beam theory, the equation of motion can be constructed by using the Lagrange's equation. The vibration analysis on such cracked beam is conducted to identify the critical follower force for flutter instability based on the variation of the first two resonant frequencies of the beam. Besides, the effect of the crack's intensity and location on the flutter follower force is studied. The crack section is represented by a local flexibility matrix connecting two undamaged beam segments. The crack is assumed to be in the first mode of fracture and to be always opened during the vibrations.

• 콘크리트학회논문집
• /
• 제12권1호
• /
• pp.3-12
• /
• 2000

A fracture energy concept proposed by Ouyang and Shah's fracture mechanics approach was used to predict cracking of reinforced concrete members subjected to tension. In this approach, fracture properties in plain concrete which incorporate the presence of the fracture process zone are first determined from the generalized size effect method, then fracture energy required for crack propagation with the same dimension and material properties are evaluated using an R-curve. Subsequently taking into account the material properties in Ouyang and Shah's approach, a theoretical analysis to predict the mechanical behavior of reinforced concrete members subjected to tension was performed and compared to observed experimental results. It is seen that the predicted average crack spacing curves agree well with the experimental results, whereas the analytical method seems to predict lower values for this study. The analytical approach predicts well responses of stress-strain curves before and after the first crack is formed. It is concluded from this study that a fracture energy concept based on the R-curve and the generalized size effect method is a rational approach to predict cracking of reinforced concrete members subjected to tension.

• 한국태양에너지학회:학술대회논문집
• /
• 한국태양에너지학회 2011년도 춘계학술발표대회 논문집
• /
• pp.25-30
• /
• 2011

In this paper, we analyzed the electrical characteristics with Micro-cracks in Photovoltaic module. Micro cracks are increasing the breakage risk over the whole value chine from the wafer to the finished module, because the wafer or cell is exposed to mechanical stress. And The solar cells have to with stand the stress under out door operation in the finished module. Here the mechanical stress is induced by temperature changes and mechanical loads from wind and snow. So, we experimentally analyze the direct impact of micro-cracks on the module power and the consequences after artificial aging. The first step, we made micro-cracks in PV module by mechanical load test according to IEC 61215. Next, PV modules applied the thermal cycling test, because micro-cracks accelerated aging by thermal cycling test, according to IEC61215. Before every test, we checked output and EL image of PV module. As the result of first step, we detected little power loss(0.9%). But after thermal cycling test increased power loss about 3.2%.

• 한국복합재료학회:학술대회논문집
• /
• 한국복합재료학회 2001년도 추계학술발표대회 논문집
• /
• pp.111-115
• /
• 2001

Thermo-acoustic emission (AE) from composite laminates under the repetitive thermal cyclic loads have been quantitatively analyzed in consideration of AE source mechanisms. The repetitive thermal load brought about a large reduction, i.e. an exponential decrease in AE total ringdown counts and AE amplitudes. It was thought that generation of thermo-AE during the first thermal cycle was not caused by crack propagation but by secondary microfracturing due to abrasive contact between crack surfaces.

• Structural Engineering and Mechanics
• /
• 제3권4호
• /
• pp.383-390
• /
• 1995

A 2-D four-noded finite element which contains a ${\lambda}$ singularity is developed. The new element is compatible with quadratic standard isoparametric elements. The element is tested on two different examples. In the first example, an edge crack problem is analyzed using two different meshes and different integration orders. The second example is a crack perpendicular to the interface problem which is solved for different material properties and in turn different singularity order ${\lambda}$. The results of those examples illustrate the efficiency of the proposed element.

• 대한기계학회논문집
• /
• 제12권6호
• /
• pp.1350-1357
• /
• 1988

A computer software was developed for predictions of fatigue crack initiation life of notched members under variable loadings. The software was constructed based on a new fatigue life prediction method utilizing modified .epsilon.-N curves, which can account for the stress interaction effect. The effect of mean plastic strain on low-cycle fatigue life was also incorporated in the software. The software can be utilized for the first step approximation when fundamental data of material fatigue properties are not available.

• 지질공학
• /
• 제21권4호
• /
• pp.295-304
• /
• 2011

방사성폐기물처분장 주변 암반의 수많은 불확실성을 이해하기 위해서는 무결암에서 발생하는 균열의 성장과 거동 분석은 필수이다. 이에 본 연구에서는 처분장과 유사한 지질적 구조적 특성을 지닌 한국원자력연구원 내에 위치한 지하처분연구시설에서 채취한 화강암 시료를 이용하여 균열의 성장과 이에 따른 손상도를 AE parameter와 모멘트텐서해석법을 이용하여 분석하였다. 시료의 균열개시 균열결합 균열손상응력은 최대강도의 0.45배, 0.73배, 0.84배인 것으로 나타났다. 모벤트텐서해석법을 이용한 결과 응력 초기에는 인장균열의 발달이 우세하였으나 응력 수준이 증가함에 따라 전단균열이 발달하였다. 또한 시료에 균열손상응력 이상의 응력이 가해지면 파괴면을 중심으로 불안정한 전단균열이 발생하였으며 이는 파괴에 직접적인 역할을 하는 것으로 해석되었다.

• 한국임상수의학회지
• /
• 제37권5호
• /
• pp.278-281
• /
• 2020

A 4-year-old Thoroughbred stallion was referred to J&C Equine Hospital with a quarter crack of the right front foot. On visual inspection, there was a medial quarter crack with laminar necrosis. The first step to treat this problem was to remove the necrotized tissue around the crack using Dremel tools, disinfecting crack, administering antibiotics through regional limb perfusion and systemically administering antibiotics and anti-inflammatory drugs consistently. After one month's anti-inflammatory management, the quarter crack was treated successfully using two series of wiring with one week's term and polymethylmethacrylate composites (Equilox^㉿). After treatment, this racehorse successfully resumed training and racing in Korea Racing Authority Seoul Race Course, and won three times, finishing second and third place once, out of thirteen starts.

• 한국안전학회지
• /
• 제34권6호
• /
• pp.50-57
• /
• 2019

In this study, various types of deep learning models that have been proposed recently are classified according to data input / output types and analyzed to find the deep learning model suitable for constructing a crack detection model. First the deep learning models are classified into image classification model, object segmentation model, object detection model, and instance segmentation model. ResNet-101, DeepLab V2, Faster R-CNN, and Mask R-CNN were selected as representative deep learning model of each type. For the comparison, ResNet-101 was implemented for all the types of deep learning model as a backbone network which serves as a main feature extractor. The four types of deep learning models were trained with 500 crack images taken from real concrete structures and collected from the Internet. The four types of deep learning models showed high accuracy above 94% during the training. Comparative evaluation was conducted using 40 images taken from real concrete structures. The performance of each type of deep learning model was measured using precision and recall. In the experimental result, Mask R-CNN, an instance segmentation deep learning model showed the highest precision and recall on crack detection. Qualitative analysis also shows that Mask R-CNN could detect crack shapes most similarly to the real crack shapes.