• 제목/요약/키워드: concrete crack evaluation

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초음파 속도법을 이용한 콘크리트 구조물의 균열깊이 측정 (Crack Depth Evaluation of Concrete Structures using Ultrasonic Pulse Velocity method)

  • 오병환;김광수;김세훈
    • 한국콘크리트학회:학술대회논문집
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    • 한국콘크리트학회 1999년도 학회창립 10주년 기념 1999년도 가을 학술발표회 논문집
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    • pp.659-662
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    • 1999
  • Ultrasonic pulse velocity method is employed for evaluation of crack depth in concrete structures. Due to the heterogeneous nature of concrete and the indirect transmission arrangement for the transit time measurement through the surface-opening cracks in concrete structures, ultrasonic pulse velocity has so many variations as crack depths and transmission lengths vary. In this study, ultrasonic pulse velocity method is investigated to evaluate the surface-opening crack depth of concrete slabs, reinforced concrete slabs, reinforced concrete flexural members. the resent study gives a modified method for deminishing errors in transit time measurements and show limitations to the evaluation of crack depth in reinforced concrete structures.

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외관불량 배전용 콘크리트전주 건전도 평가지표 개발 (A Development of Soundness Evaluation Index for Poor Appearance Distribution Concrete Poles)

  • 왕윤찬
    • 조명전기설비학회논문지
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    • 제28권9호
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    • pp.35-44
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    • 2014
  • This study was to secure the safety of poor appearance distribution concrete poles effectively and to reduce the replacement costs of them by developing a soundness evaluation index. The researcher of this study investigated poor appearance types of concrete pole, collected 53 of test samples, and tested pole strength. As a result of strength test, only 17 percent of poor appearance concrete poles were below 2.0 of safety factor spec. As results of multiple regression analysis, it is verified that surface air void, horizontal crack, net-shaped crack, elapsed year, vertical crack, and deterioration in concrete compressive strength have statistically negative effects on safety factor of concrete poles in a significant level. The researcher set up a soundness evaluation index by using multiple regression equation, and suggested that poor appearance concrete poles should be replaced or reinforced only in case of soundness evaluation score of 150 or above.

Multiple crack evaluation on concrete using a line laser thermography scanning system

  • Jang, Keunyoung;An, Yun-Kyu
    • Smart Structures and Systems
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    • 제22권2호
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    • pp.201-207
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    • 2018
  • This paper proposes a line laser thermography scanning (LLTS) system for multiple crack evaluation on a concrete structure, as the core technology for unmanned aerial vehicle-mounted crack inspection. The LLTS system consists of a line shape continuous-wave laser source, an infrared (IR) camera, a control computer and a scanning jig. The line laser generates thermal waves on a target concrete structure, and the IR camera simultaneously measures the corresponding thermal responses. By spatially scanning the LLTS system along a target concrete structure, multiple cracks even in a large scale concrete structure can be effectively visualized and evaluated. Since raw IR data obtained by scanning the LLTS system, however, includes timely- and spatially-varying IR images due to the limited field of view (FOV) of the LLTS system, a novel time-spatial-integrated (TSI) coordinate transform algorithm is developed for precise crack evaluation in a static condition. The proposed system has the following technical advantages: (1) the thermal wave propagation is effectively induced on a concrete structure with low thermal conductivity of approximately 0.8 W/m K; (2) the limited FOV issues can be solved by the TSI coordinate transform; and (3) multiple cracks are able to be visualized and evaluated by normalizing the responses based on phase mapping and spatial derivative processes. The proposed LLTS system is experimentally validated using a concrete specimen with various cracks. The experimental results reveal that the LLTS system successfully visualizes and evaluates multiple cracks without false alarms.

철근콘크리트 부재의 손상량 평가 모델에 관한 연구 (Study on Damage Evaluation Model for Reinforced Concrete Members)

  • 조병민;;김태진
    • 한국지진공학회논문집
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    • 제19권2호
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    • pp.75-83
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    • 2015
  • The purpose of this study is to improve the previous damage evaluation model for RC members which is proposed by Igarashi[1] in 2010.The previous model was not confirmed by enough data of damage such as, residual crack length, width and area for exfoliation of concrete, etc. In addition, validation of the model is still insufficient. Therefore, experiment of a real-scale RC structure and experiment of RC columns using the high-strength concrete were conducted to gather the data of damage in RC members. The investigation has been conducted gathering the data not only additional experiments data but also existing data for modification of damage evaluation model. It has been investigated on changing damage in RC due to axial force ratio, shear reinforcement and shear span ratio. As a result, several problems were founded in the previous model, such as, hinge length($l_p$), spacing of flexural crack($S_{av,f}$), total width of flexural cracks regulated by maximum width of flexural crack($n_f$) and total width of shear cracks regulated by maximum width of shear crack($n_s$). New model is proposed and evaluated the damage properly.

CNN 모델을 활용한 콘크리트 균열 검출 및 시각화 방법 (Concrete Crack Detection and Visualization Method Using CNN Model)

  • 최주희;김영관;이한승
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2022년도 봄 학술논문 발표대회
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    • pp.73-74
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    • 2022
  • Concrete structures occupy the largest proportion of modern infrastructure, and concrete structures often have cracking problems. Existing concrete crack diagnosis methods have limitations in crack evaluation because they rely on expert visual inspection. Therefore, in this study, we design a deep learning model that detects, visualizes, and outputs cracks on the surface of RC structures based on image data by using a CNN (Convolution Neural Networks) model that can process two- and three-dimensional data such as video and image data. do. An experimental study was conducted on an algorithm to automatically detect concrete cracks and visualize them using a CNN model. For the three deep learning models used for algorithm learning in this study, the concrete crack prediction accuracy satisfies 90%, and in particular, the 'InceptionV3'-based CNN model showed the highest accuracy. In the case of the crack detection visualization model, it showed high crack detection prediction accuracy of more than 95% on average for data with crack width of 0.2 mm or more.

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Morphological segmentation based on edge detection-II for automatic concrete crack measurement

  • Su, Tung-Ching;Yang, Ming-Der
    • Computers and Concrete
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    • 제21권6호
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    • pp.727-739
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    • 2018
  • Crack is the most common typical feature of concrete deterioration, so routine monitoring and health assessment become essential for identifying failures and to set up an appropriate rehabilitation strategy in order to extend the service life of concrete structures. At present, image segmentation algorithms have been applied to crack analysis based on inspection images of concrete structures. The results of crack segmentation offering crack information, including length, width, and area is helpful to assist inspectors in surface inspection of concrete structures. This study proposed an algorithm of image segmentation enhancement, named morphological segmentation based on edge detection-II (MSED-II), to concrete crack segmentation. Several concrete pavement and building surfaces were imaged as the study materials. In addition, morphological operations followed by cross-curvature evaluation (CCE), an image segmentation technique of linear patterns, were also tested to evaluate their performance in concrete crack segmentation. The result indicates that MSED-II compared to CCE can lead to better quality of concrete crack segmentation. The least area, length, and width measurement errors of the concrete cracks are 5.68%, 0.23%, and 0.00%, respectively, that proves MSED-II effective for automatic measurement of concrete cracks.

콘크리트 균열부에 대한 중성화 평가기법에 관한 연구 (A Study on the Evaluation Method of Carbonation about Crack of Concrete)

  • 구경모;미야우치히로유키;김규용;남정수;신경수;윤용상
    • 한국콘크리트학회:학술대회논문집
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    • 한국콘크리트학회 2010년도 춘계 학술대회 제22권1호
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    • pp.183-184
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    • 2010
  • 본 연구에서는 초기재령에 다양한 요인에 의해 발생될 수 있는 콘크리트 균열에 대하여 중성화 평가방법을 제시하고, 균열의 크기에 따른 중성화 침투깊이를 비교하고자 한다.

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철근콘크리트 인장부재의 균열 산정식 평가 (Evaluation of Crack Estimation Equation for the Reinforced Concrete Tension Member)

  • 박찬욱;노삼영;신은미
    • 한국구조물진단유지관리공학회 논문집
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    • 제13권3호통권55호
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    • pp.197-208
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    • 2009
  • 본 연구의 목적은 국내 콘크리트구조설계기준 부록에 새롭게 포함된 CEB-FIP Model Code 1990 균열 폭 산정식을 콘크리트 강도를 변수로 하여 평가하는 것에 있다, 평가 도구로 부착응력-미끌림 관계를 적용하여 구축한 균열요소모델과 기존 연구자들의 실험결과로부터 얻은 균열폭을 사용하였으며 기존 실험결과와 비교 평가함으로 검증하였다. 평가대상인 MC-90의 균열폭 산정식의 증요변수는 인장증강효과와 평균부착응력이며 이들을 균열요소모델 해석결과와 비교함으로 강도에 따라 개선된 인장증강효과와 평균부착응력을 제안하였다.

Evaluation of Crack Propagation and Post-cracking Hinge-type Behavior in the Flexural Response of Steel Fiber Reinforced Concrete

  • Gali, Sahith;Subramaniam, Kolluru V.L.
    • International Journal of Concrete Structures and Materials
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    • 제11권2호
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    • pp.365-375
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    • 2017
  • An experimental evaluation of crack propagation and post-cracking behavior in steel fiber reinforced concrete (SFRC) beams, using full-field displacements obtained from the digital image correlation technique is presented. Surface displacements and strains during the fracture test of notched SFRC beams with volume fractions ($V_f$) of steel fibers equal to 0.5 and 0.75% are analyzed. An analysis procedure for determining the crack opening width over the depth of the beam during crack propagation in the flexure test is presented. The crack opening width is established as a function of the crack tip opening displacement and the residual flexural strength of SFRC beams. The softening in the post-peak load response is associated with the rapid surface crack propagation for small increases in crack tip opening displacement. The load recovery in the flexural response of SFRC is associated with a hinge-type behavior in the beam. For the stress gradient produced by flexure, the hinge is established before load recovery is initiated. The resistance provided by the fibers to the opening of the hinge produces the load recovery in the flexural response.