• 제목/요약/키워드: Crack identification

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근관치료 영역에서 치과용 미세현미경의 활용 (Application of dental microscope in endodontic treatment procedure.)

  • 최성백
    • 대한치과의사협회지
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    • 제55권8호
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    • pp.542-555
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    • 2017
  • 1. Diagnosis Diagnosis of Crack, Direct pulp capping 2. Access opening Find the calcified canal orifice Removal of dentin shelf Obtaining the MB2 canal (MB2, MB3, DB2) 3. Perforation repair during endodontic treatment 4. Removal of the separated files 5. Open apex treatment 6. Void removal on CWT procedure 7. Re-endodontic treatment Removal of restorative material filled in pulp chamber Post removal Identification and removal of residual gutta-perch 8. Surgical endodontic treatment In each case will overview how to use a dental microscope.

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콘크리트의 결함평가를 위한 탄성파시험의 모우드해석 (Modal Analysis of Stress Wave Test for Flaw Detection in Concrete)

  • 정범석;이창무;강병탁;황진호
    • 한국콘크리트학회:학술대회논문집
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    • 한국콘크리트학회 2000년도 가을 학술발표회 논문집(II)
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    • pp.1261-1266
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    • 2000
  • In the impact echo method, a stress pulse is introduced into an object at on accessible surface by a transmitter. The pulse propagates into the test object and is reflected by flaws or interfaces. In this paper, void and crack locations of concrete specimens were detected using impact echo method. In their modal identification procedures, the double least squares solution for Ibrahim Time Domain technique was used.

테이퍼 캔틸레버 원형강관 균열보의 모드특성 추정 (Modal Property Estimation of Tapered Cantilever Pipe-type Cracked Beam)

  • 이종원;김상렬;김봉기
    • 한국전산구조공학회논문집
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    • 제27권5호
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    • pp.361-368
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    • 2014
  • 본 연구에서는 테이퍼 보에 대한 미분방정식의 일반해에 캔틸레버 보의 경계조건을 적용하여 모드특성을 추정한다. 또한, 휨을 받는 테이퍼 원형강관 캔틸레버 보에 발생하는 관통균열을 모델링하기 위하여 에너지 방법을 이용하여 균열보에 대한 보 길이방향 휨강성을 구한 후 이를 이용하여 테이퍼 원형강관 캔틸레버 균열보에 대한 고유주파수와 모드형상을 추정한다. 보 길이에 따른 균열보의 휨강성 변화는 기존 연구에서 밝혀진 현상과 유사하게 합리적인 양상을 보였으며, 유도한 휨강성을 적용하여 산정한 균열보의 고유주파수는 균열 크기가 증가할수록 감소함을 확인하였고, 모드형상은 균열발생에 의해 변화함을 알 수 있었다. 연구결과는 향후 테이퍼 원형강관 캔틸레버 보 형태의 타워 구조물에 대한 진동기반 균열탐지에 활용될 수 있을 것으로 판단된다.

Instrumentation and system identification of a typical school building in Istanbul

  • Bakir, Pelin Gundes
    • Structural Engineering and Mechanics
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    • 제43권2호
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    • pp.179-197
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    • 2012
  • This study presents the findings of the structural health monitoring and the real time system identification of one of the first large scale building instrumentations in Turkey for earthquake safety. Within this context, a thorough review of steps in the instrumentation, monitoring is presented and seismic performance evaluation of structures using both nonlinear pushover and nonlinear dynamic time history analysis is carried out. The sensor locations are determined using the optimal sensor placement techniques used in NASA for on orbit modal identification of large space structures. System identification is carried out via the stochastic subspace technique. The results of the study show that under ambient vibrations, stocky buildings can be substantially stiffer than what is predicted by the finite element models due to the presence of a large number of partitioning walls. However, in a severe earthquake, it will not be safe to rely on this resistance due to the fact that once the partitioning walls crack, the bare frame contributes to the lateral stiffness of the building alone. Consequently, the periods obtained from system identification will be closer to those obtained from the FE analysis. A technique to control the validity of the proportional damping assumption is employed that checks the presence of phase difference in displacements of different stories obtained from band pass filtered records and it is confirmed that the "proportional damping assumption" is valid for this structure. Two different techniques are implemented for identifying the influence of the soil structure interaction. The first technique uses the transfer function between the roof and the basement in both directions. The second technique uses a pre-whitening filter on the data obtained from both the basement and the roof. Subsequently the impulse response function is computed from the scaled cross correlation between the input and the output. The overall results showed that the structure will satisfy the life safety performance level in a future earthquake but some soil structure interaction effects should be expected in the North South direction.

자동차 제동시스템의 패드, 라이닝, 허브디스크에 관련된 트라이볼로지적인 특성에 관한 고장사례연구 (Failure Study for Tribological Characteristics Including with Pad, Lining and Hub disk in Vehicle Brake System)

  • 이일권;김청균;조승현
    • Tribology and Lubricants
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    • 제27권5호
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    • pp.269-274
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    • 2011
  • The purpose of this paper is to study and analyze the improvement method for the failure examples including the vehicle brake system in actual field. It was verified that the indicator plate of pad wear scratched the brake disk because of wearing after displacement of non- identification parts pad. The caliper of other vehicle was installed with brake system verified the phenomenon produced groove in center point because of one side wear when the pad was not fully contacted with the rub disk by other action surface pressure and pad action condition. It verified that the crack phenomenon fatigue was produced by brake thermal deformation because of decreasing the thickness by grinding to modify the non-uniformed wear of brake disk. It verified that the friction sound was produced by the friction phenomenon because of non-uniformed contact of lining and an alien substance with inner of the drum and lining braking by crack phenomenon with brake drum surface.

Numerical simulation of the femur fracture under static loading

  • El Sallah, Zagane Mohammed;Smail, Benbarek;Abderahmane, Sahli;Bouiadjra, B. Bachir;Boualem, Serier
    • Structural Engineering and Mechanics
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    • 제60권3호
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    • pp.405-412
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    • 2016
  • Bone is a living material with a complex hierarchical structure that gives it remarkable mechanical properties. Bone constantly undergoes mechanical. Its quality and resistance to fracture is constantly changing over time through the process of bone remodeling. Numerical modeling allows the study of the bone mechanical behavior and the prediction of different trauma caused by accidents without expose humans to real tests. The aim of this work is the modeling of the femur fracture under static solicitation to create a numerical model to simulate this element fracture. This modeling will contribute to improve the design of the indoor environment to be better safe for the passengers' transportation means. Results show that vertical loading leads to the femur neck fracture and horizontal loading leads to the fracture of the femur diaphysis. The isotropic consideration of the bone leads to bone fracture by crack propagation but the orthotropic consideration leads to the fragmentation of the bone.

Some precautions to consider in using wavelet transformation for damage detection analysis of plates

  • Beheshti-Aval, S.B.;Taherinasab, M.;Noori, M.
    • Smart Structures and Systems
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    • 제11권1호
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    • pp.35-51
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    • 2013
  • Over the last two decades Wavelet Transformation (WT) method has been widely utilized for the damage identification of structures. The main objective of this paper is to discuss and present some of common shortcomings and limitations of mathematical software, as well as other precautionary measures that need to be considered when using them for wavelet analysis applications. Due to popular usage of MATLABMATLAB(R) comparing to other mathematical tools among researchers for data processing of structural responses through WT analysis, this software was chosen for specific study. To the best of the authors' knowledge, these limitations and observations have not been previously identified or discussed in the literature. In this work, a square plate with a severe damage, in form of a crack, parallel to the left edge of the plate is selected for a pilot study. The steady state harmonic response is used for measuring the deflection shape across the line parallel to one edge and perpendicular to the damage. Several criteria and cases such as the smallest size damage that can be detected, correlation between the crack width and the number of sampling points, and the influence of the damage thickness on the accuracy of the result are investigated.

압전 변환기를 이용한 복합재료 보의 비파괴 평가 (Quantitative Nondestructive Evaluation in Composite Beam Using Piezoelectric Transducers)

  • 이상협;최영근;김상태
    • Composites Research
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    • 제20권3호
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    • pp.31-36
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    • 2007
  • 본 연구는 압전 변환기를 이용하여 탄소/에폭시 복합재료 보의 초기 균열 길이에 대한 정량적인 예측방법을 제시하였다. 구조물의 손상에 대한 비파괴평가기술에 대한 관심은 증가하고 있다. 본 연구에서는 시간-주파수 영역에서 웨이블렛 변환에 기초한 신호처리기술로 손상 유무와 손상평가를 위한 방법을 제시하였다. 한 쌍의 피에조 재료를 이용하여 탄소/에폭시 복합재료 보의 동적응답을 제안한 신호처리 기술로 협대역 가진하에서 연구하였다.

A computer vision-based approach for crack detection in ultra high performance concrete beams

  • Roya Solhmirzaei;Hadi Salehi;Venkatesh Kodur
    • Computers and Concrete
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    • 제33권4호
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    • pp.341-348
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    • 2024
  • Ultra-high-performance concrete (UHPC) has received remarkable attentions in civil infrastructure due to its unique mechanical characteristics and durability. UHPC gains increasingly dominant in essential structural elements, while its unique properties pose challenges for traditional inspection methods, as damage may not always manifest visibly on the surface. As such, the need for robust inspection techniques for detecting cracks in UHPC members has become imperative as traditional methods often fall short in providing comprehensive and timely evaluations. In the era of artificial intelligence, computer vision has gained considerable interest as a powerful tool to enhance infrastructure condition assessment with image and video data collected from sensors, cameras, and unmanned aerial vehicles. This paper presents a computer vision-based approach employing deep learning to detect cracks in UHPC beams, with the aim of addressing the inherent limitations of traditional inspection methods. This work leverages computer vision to discern intricate patterns and anomalies. Particularly, a convolutional neural network architecture employing transfer learning is adopted to identify the presence of cracks in the beams. The proposed approach is evaluated with image data collected from full-scale experiments conducted on UHPC beams subjected to flexural and shear loadings. The results of this study indicate the applicability of computer vision and deep learning as intelligent methods to detect major and minor cracks and recognize various damage mechanisms in UHPC members with better efficiency compared to conventional monitoring methods. Findings from this work pave the way for the development of autonomous infrastructure health monitoring and condition assessment, ensuring early detection in response to evolving structural challenges. By leveraging computer vision, this paper contributes to usher in a new era of effectiveness in autonomous crack detection, enhancing the resilience and sustainability of UHPC civil infrastructure.

Damage localization and quantification in beams from slope discontinuities in static deflections

  • Ma, Qiaoyu;Solis, Mario
    • Smart Structures and Systems
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    • 제22권3호
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    • pp.291-302
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    • 2018
  • This paper presents a flexibility based method for damage identification from static measurements in beam-type structures. The response of the beam at the Damaged State is decomposed into the response at the Reference State plus the response at an Incremental State, which represents the effect of damage. The damage is localized by detecting slope discontinuities in the deflection of the structure at the Incremental State. A denoising filtering technique is applied to reduce the effect of experimental noise. The extent of the damage is estimated through comparing the experimental flexural stiffness of the damaged cross-sections with the corresponding values provided by analytical models of cracked beams. The paper illustrates the method by showing a numerical example with two cracks and an experimental case study of a simply supported steel beam with one artificially introduced notch type crack at three damage levels. A Digital Image Correlation system was used to accurately measure the deflections of the beam at a dense measurement grid under a set of point loads. The results indicate that the method can successfully detect and quantify a small damage from the experimental data.