• Title/Summary/Keyword: 균열성능

Search Result 907, Processing Time 0.026 seconds

Investigation of Microorganism-Based Autonomous Crack Healing Agent and Full-scale Verification of Crack Healing (미생물 기반 자발적 콘크리트 균열치유제 성능 분석 및 실스케일 균열치유성능 검증)

  • Yeon-Jun Yoo;Byung-Jae Lee;Joo-Kyoung Yang;Yun Lee
    • Journal of the Korea institute for structural maintenance and inspection
    • /
    • v.27 no.6
    • /
    • pp.138-143
    • /
    • 2023
  • In this study, the crack healing performance of each crack healing agent manufacturing method was analyzed by adding crack healing agents in the form of alginate gel and spore suspension inoculated with endospores of calcium carbonate-forming bacteria to mortar. In addition, by applying it to an full-scale structure in the form of a box-type culvert, we attempted to create an environment in which the developed crack healing agent can be applied not only to a laboratory environment but also to an actual field. The crack healing agent using the dry heat drying method showed crack healing performance, but in the case of the freeze drying method, many spores were killed by freeze hardening and therefore the crack healing performance was lost. As a result of SEM and XRD pattern analysis of the presumed crack healing material extracted from the crack of a full-scale structure, it was found to be calcite, one of the calcium carbonate crystals produced by microorganisms applied to the crack healing agent. In conclusion, it was found that the crack healing by microorganisms can be implemented in a real structure.

개선된 영상 처리기법을 이용한 콘크리트 표면 균열 추출 및 분석

  • Lee, Jae-Eon;Kim, Gwang-Baek
    • Proceedings of the Korea Inteligent Information System Society Conference
    • /
    • 2007.05a
    • /
    • pp.365-372
    • /
    • 2007
  • 본 논문에서는 콘크리트 표면 균열 영상에서 균열의 특징들을 추출하기 위하여, 영상 처리 기법을 개선하여 균열의 특징(길이,폭,방향)들을 자동으로 추출 및 분석 할 수 있는 기법을 제안한다. 기존의 영상 처리 기법에서는 비교적 잡음이 적고 균열이 적은 영상을 대상으로 균열을 추출하는 알고리즘을 제시하였기 때문에 많은 잡음과 균열을 가지는 영상에 대해서는 균열 검출 성능이 떨어지는 경향이 있다. 따라서, 본 논문에서 제안한 균열 추출 및 분석 알고리즘은 컬러 영상에서 Histogram Stretching 기법을 적용하여 영상의 콘트라스트 특성을 향상 시킨 후, Robert 연산자를 다시 적용해 균열을 강조하고, 강조된 균열을 Multiple 연산을 이용하여 밝기 차이를 크게 한 후, 개선된 적응 이진화기법을 이용하여 균열의 후보 영역을 추출한다. 추출된 균열 후보 영역을 형상 분석과 위치 및 방향분석을 이용하여 잡음을 제거하고 균열의 특징을 분석한다. 실제 콘크리트 표면 균열 영상을 대상으로 실험한 결과, 균열 검출 성능이 기존의 방법보다 본 논문에서 제안한 방법이 더 우수함을 확인하였다.

  • PDF

Evaluation on the Performance of Nano Mixed Inorganic Repair Material for Crack Repair of Concrete Structures (콘크리트 구조물의 균열 보수를 위한 나노 합성 무기계 보수 재료의 성능 평가)

  • Kim, Jong-Pil;Jeon, Chan-Ki;Chung, Hoon;Kim, Hong-Seug
    • Journal of the Korean Society of Hazard Mitigation
    • /
    • v.7 no.3
    • /
    • pp.33-39
    • /
    • 2007
  • This paper presents a detailed experimental study on the engineering and durability properties of nano mixed inorganic repair material with rehabilitation and enhancement of performance of concrete structure occur to crack. The performance of specimens was evaluated using bond strength, chloride ion ingress, carbonation and brine resistance. It was shown in the results of the experiments that it had a superior function in the bond strength under the standard and wet-dry condition of all the repair material. Moreover, it had a good function in the experiments for chloride ion ingress, carbonation and brine resistance. Judging from the above-mentioned results, it is expected to be used for the rehabilitation and enhancement of the performance of concrete structure.

Influence of Exposure Environmental Conditions on the Crack Healing Performance of Self-healing Repair Mortar Specimens (노출환경 조건이 자기치유형 보수 모르타르 시험체의 균열 치유성능에 미치는 영향)

  • Lee, Woong-Jong;Lee, Hyun-Ho;Ahn, Sang-Wook;Lee, Kwang-Myong
    • Journal of the Korean Recycled Construction Resources Institute
    • /
    • v.6 no.4
    • /
    • pp.283-288
    • /
    • 2018
  • Since the crack self-healing materials are activated according to the exposure environmental conditions from the time of crack occurrence, it is very important to clarify the relationship between the healing performance and the exposure environmental conditions of the crack surface. In this paper, the influence of the exposure environmental conditions on the crack healing performance of self-healing repair mortar was investigated through the water permeability test. The influence of temperature and humidity on the crack width of cracked specimens was evaluated. As a result of measuring the change of the crack width, the effect of curing temperature was negligible but it was confirmed that crack-closing occurred due to the change of dry-wet condition. The healing materials produced on the crack surface of the specimens was identified as calcite minerals. Since the minerals with high density are precipitated under the influence of gravity, the healing performance is somewhat different according to the direction of the crack surface, and the healing performance was significantly improved in the wet exposure condition than the air exposure condition.

Improvement of concrete crack detection using Dilated U-Net based image inpainting technique (Dilated U-Net에 기반한 이미지 복원 기법을 이용한 콘크리트 균열 탐지 개선 방안)

  • Kim, Su-Min;Sohn, Jung-Mo;Kim, Do-Soo
    • Proceedings of the Korean Society of Computer Information Conference
    • /
    • 2021.01a
    • /
    • pp.65-68
    • /
    • 2021
  • 본 연구에서는 Dilated U-Net 기반의 이미지 복원기법을 통해 콘크리트 균열 추출 성능 개선 방안을 제안한다. 콘크리트 균열은 구조물의 미관상의 문제뿐 아니라 추후 큰 안전사고의 원인이 될 수 있어 초기대응이 중요하다. 현재는 점검자가 직접 육안으로 검사하는 외관 검사법이 주로 사용되고 있지만, 이는 정확성 및 비용, 시간, 그리고 안전성 면에서 한계를 갖고 있다. 이에 콘크리트 구조물 표면에 대해 획득한 영상 처리 기법을 사용한 검사 방식 도입의 관심이 늘어나고 있다. 또한, 딥러닝 기술의 발달로 딥러닝을 적용한 영상처리의 연구 역시 활발하게 진행되고 있다. 본 연구는 콘크리트 균열 추개선출 성능 개선을 위해 Dilated U-Net 기반의 이미지 복원기법을 적용하는 방안을 제안하였고 성능 검증 결과, 기존 U-Net 기반의 정확도가 98.78%, 조화평균 82.67%였던 것에 비해 정확도 99.199%, 조화평균 88.722%로 성능이 되었음을 확인하였다.

  • PDF

Evaluation of Crack-Repairing Performance in Concrete Using Surface Waves (표면탄성파를 활용한 콘크리트 균열 보수 성능 평가 기법)

  • Ahn, Eunjong;Kim, Hyunjun;Gwon, Seongwoo;Sim, Sung-Han;Lee, Kwang Myong;Shin, Myoungsu
    • Journal of the Korean Recycled Construction Resources Institute
    • /
    • v.5 no.4
    • /
    • pp.496-502
    • /
    • 2017
  • The purpose of this study is to investigate the applicability of surface-wave techniques for the evaluation of the crack-repairing performance of an epoxy injection method in concrete. In this study, box-shaped concrete specimens with four different crack depths were made with identical mix proportions. The specimens with different crack depths were completely repaired using the same epoxy injection method. The spectral energy transmission ratio of surface waves is used as an index to differentiate the effects of crack depth and crack-repairing performance. The decrease of spectral energy transmission ratio in accordance with the increase of crack depth was identified before repairing. Furthermore, the spectral energy transmission ratio increased after the crack-repairing process in all specimens. The spectral energy transmission ratio is considered as a great indicator for estimating the crack-repairing performance of the epoxy injection method; the ratio was recovered up to almost 95% of the uncracked condition.

Deep Learning Models for Autonomous Crack Detection System (자동화 균열 탐지 시스템을 위한 딥러닝 모델에 관한 연구)

  • Ji, HongGeun;Kim, Jina;Hwang, Syjung;Kim, Dogun;Park, Eunil;Kim, Young Seok;Ryu, Seung Ki
    • KIPS Transactions on Software and Data Engineering
    • /
    • v.10 no.5
    • /
    • pp.161-168
    • /
    • 2021
  • Cracks affect the robustness of infrastructures such as buildings, bridge, pavement, and pipelines. This paper presents an automated crack detection system which detect cracks in diverse surfaces. We first constructed the combined crack dataset, consists of multiple crack datasets in diverse domains presented in prior studies. Then, state-of-the-art deep learning models in computer vision tasks including VGG, ResNet, WideResNet, ResNeXt, DenseNet, and EfficientNet, were used to validate the performance of crack detection. We divided the combined dataset into train (80%) and test set (20%) to evaluate the employed models. DenseNet121 showed the highest accuracy at 96.20% with relatively low number of parameters compared to other models. Based on the validation procedures of the advanced deep learning models in crack detection task, we shed light on the cost-effective automated crack detection system which can be applied to different surfaces and structures with low computing resources.

Detection of Concrete Slab Surface Cracks using Fuzzy Method and Brightness (퍼지 기법과 명암도를 이용한 콘크리트 표면의 균열 검출)

  • Kim, Jun-Hoi;Kim, Kwang-Beak
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2010.05a
    • /
    • pp.173-175
    • /
    • 2010
  • 본 논문에서는 콘크리트 표면에 발생한 균열의 미세한 부분까지 효과적으로 검출 할 수 있는 방법을 제안한다. 제안된 균열 검출 방법은 콘크리트 영상의 RGB값을 퍼지 기법에 적용하여 후보 균열 영역을 검출한다. 검출된 후보 균열 영역에서 밀도와 명암도를 이용하여 효과적으로 세부적인 잡음까지 제거한 후, 최종으로 균열 영역을 검출한다. 실제 콘크리트 표면의 균열 영상을 대상으로 실험한 결과, 제안된 방법이 기존의 방법보다 균열의 검출 성능이 개선되었음을 확인할 수 있었다.

  • PDF

Evaluation of Crack Resistant Performance in Cement Mortar with Steel Fiber and CSA Expansion Admixture (CSA 팽창재를 혼입한 강섬유 보강 모르타르의 균열 저항성능 평가)

  • Ahn, Jung-Kil;Park, Ki-Tae;Kwon, Seung-Jun
    • Journal of the Korea institute for structural maintenance and inspection
    • /
    • v.18 no.3
    • /
    • pp.125-132
    • /
    • 2014
  • Steel fiber is a effective composite for crack resistance and improve structural performance under tensile loading. This study presents an evaluation of crack resistance and structural performance in cement mortar with steel fiber and expansion agent through internal chemical prestressing. For this work, cement mortar samples with 10% replacement of cement binder with CSA (Calcium-Sulfo-Aluminate) expansion agent and 1% volume ratio of steel fiber are prepared. Including basic mechanical properties, initial cracking load and fracture energy are evaluated in cement mortar beam with notch. Initial cracking load and fracture energy in cement mortar with CSA and steel fiber increase by 1.75 and 1.41~1.53 times compared with those in cement mortar with steel fiber. With optimum mix design for steel fiber and CSA expansive agent, the composite with chemical prestressing can be applied to various members and effectively improve crack resistance to external loading.

Theoretical Analysis of Interface Debonding on the Strengthened RC Bridge Decks (성능향상된 RC 바닥판의 계면파괴 해석)

  • 오홍섭;심종성
    • Journal of the Korea Concrete Institute
    • /
    • v.14 no.5
    • /
    • pp.668-676
    • /
    • 2002
  • Especially, when orthotropic material such as uni-dierectionally woven Carbon Fiber Sheet, resisting only the unidirectional tension, is used to strengthening bridge deck, the direction and width of the strengthening material should be considered very carefully. Thus, analysis of the failure characteristics and the premature failure mechanism of the strengthened decks based on the test results are required. In this study, the premature failure due to the interface debonding of strengthening material of the strengthened deck slab are inquired into failure mechanism through both experiments results and analyses with prototype strengthened deck specimens using carbon fiber sheet. From the test results, interface debonding of strengthening material is occured at the crack face