• 제목/요약/키워드: crack depth estimation

검색결과 44건 처리시간 0.022초

Depth estimation for surface-breaking cracks in steel-fiber reinforced concrete using ultrasonic surface waves

  • Ahmet S. Kirlangic;Zafer Iscan
    • Structural Monitoring and Maintenance
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    • 제9권4호
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    • pp.373-388
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    • 2022
  • A USW based diagnostic procedure is presented for estimating the depth of surface-breaking cracks. The diagnosis is demonstrated on seven lab-scale SFRC beam specimens, which are subjected to the CMOD controlled three-point bending test to create real bending cracks. Then, the recorded multiple ultrasonic signals are examined with the signal processing techniques, including wavelet transform and two-dimensional Fourier transform, to investigate the relationships between the crack depth and two diagnostic indices, namely the attenuation coefficient and dispersion index (DI). Finally, the reliabilities of these indices for depth estimation are verified with the visually measured crack depths as well as the crack features obtained with a digital image processing algorithm. It is found that the DI outperforms the attenuation coefficient in depth estimation, where this index displays good agreement with the visual inspection for 86% of the inspected specimens.

초음파를 이용한 콘크리트 시편의 피복두께 이하에 위치한 균열깊이 탐사 (Measurement of Crack Depth Located under Steel Reinforcement in Reinforced Concrete Specimens using Ultrasonic Method)

  • 임홍철;김연수;우상균;송영철
    • 한국구조물진단유지관리공학회 논문집
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    • 제6권4호
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    • pp.181-188
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    • 2002
  • The objective of this study is to determine crack depth located under steel reinforcement in concrete specimens using ultrasonic method. Experimental studies were performed on concrete specimens containing vertical and inclined surface-opening cracks with known depths. The other studies were carried out on specimens with flexural crack. Experimental results have shown that the crack depth is effectually measured when the distance between the probes is less than the crack depth. The effect of steel on crack depth estimation is studied through a model by considering P-waves diffaction at the tip of crack and steel. In addition, experimental results show that the ultrasonic method is one of useful methods to evaluate the crack depth in reinforced concrete.

콘크리트 구조물의 균열 깊이 추정을 위한 스펙트럼 에너지 기법 (Spectral Energy Transmission Method for Crack Depth Estimation in Concrete Structures)

  • 신성우;민지영;윤정방
    • 비파괴검사학회지
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    • 제27권2호
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    • pp.164-172
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    • 2007
  • 콘크리트 구조물에서 발생하는 균열은 구조물의 심각한 성능 저하와 파괴를 유발할 수 있으며, 따라서 이러한 균열 손상의 조기 탐지 및 평가, 보수는 구조물의 건전성에 있어서 매우 중요한 부분이다. 특히, 균열의 평가를 위한 많은 방법들이 제안되었으며, 그 중에서도 자기 보정 표면파 투과 기법을 이용한 균열 깊이 추정법은 다른 방법에 비하여 균열의 깊이 변화에 가장 민감한 장점이 있는 방법이다. 그러나 자기 보정 표면파 투과 기법은 주파수에 따른 투과 함수의 변동성으로 인하여 정량적인 평가는 아직 어려운 실정이다. 본 연구에서는 측정된 자기 보정 표면파 투과 함수의 스펙트럼 에너지를 이용하여 균열 깊이를 추정하는 기법을 제안하고자 하며, 이 기법의 유효성을 판단하기 위하여 다양한 균열 깊이를 가진 콘크리트 슬래브를 이용하여 실험적인 연구를 수행하였다. 연구 결과 제안된 방법이 균열 깊이 평가에 유효하게 사용할 수 있으며, 또한 기존의 방법에 비하여 보다 정확한 균열 깊이를 추정하는 방법임을 알 수 있었다.

실린더에 존재하는 축방향 표면균열에 대한 공학적 J-적분식 (I) - 변형소성에 기초한 방법- (Engineering J-Integral Estimation for Internal Axial Surface Cracks in Cylinders (I) -Deformation Plasticity Based Estimation-)

  • 김진수;김윤재;박영재;김영진
    • 대한기계학회논문집A
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    • 제26권8호
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    • pp.1672-1679
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    • 2002
  • This paper provides an engineering J estimation equation for cylinders with finite internal axial surfacecracks under internal pressure. The proposed equation is the J estimation equation based on deformation plasticity using Ramberg-Osgood (R-O) materials. Based on detailed 3-D FE results using deformation plasticity, plastic influence functions for fully plastic J components are tabulated for practically interesting ranges of the mean radius-to-thickness ratio, the crack depth-to-length ratio, the crack depth-to-thickness ratio. the strain hardening index for the R-O material, and the location along the semi-elliptical crack front. Based on tabilated plastic influence functions, the J estimation equation along the crack front is proposed and validated for R-O materials. Good agreements between the FE results and the proposed J estimation provide confidence in the use of the proposed method to elastic-plastic fracture mechanics of pressurized piping.

차원 축소된 표면파 투과 함수와 인공신경망을 이용한 콘크리트의 균열 깊이 평가 기법 (Dimensionality Reduced Wave Transmission Function and Neural Networks for Crack Depth Estimation in Concrete)

  • 신성우;윤정방
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 2007년도 정기 학술대회 논문집
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    • pp.27-32
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    • 2007
  • Determination of crack depth in filed using the self-calibrating surface wave transmission measurement and the cutting frequency in the transmission function (TRF) is very difficult due to variations of the measurement conditions. In this study, it is proposed to use the measured full TRF as a feature for crack depth assessment. A principal component analysis (PCA) is employed to generate a basis of the measured TRFs for various crack cases. The measured TRFs are represented by their projections onto the most significant principal components. Then artificial neural networks (NNs) using the PCA-compressed TRFs is applied to assess the crack in concrete. Experimental study is carried out for five different crack cases to investigate the effectiveness of the proposed method. Results reveal that the proposed method can be effectively used for the crack depth assessment of concrete structures.

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Crack Detection, Localization and Estimation of the Depth In a Turbo Rotor

  • Park, Rai-Wung
    • Journal of Mechanical Science and Technology
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    • 제14권7호
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    • pp.722-729
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    • 2000
  • The goal of this paper is to describe an advanced method of a crack detection: a new way to localize position and to estimate depth of a crack on rotating shaft. As a first step, the shaft is physically modelled with a finite element method and the dynamic mathematical model is derived using the Hamilton principle; thus, the system is represented by various subsystems. The equations of motion of the shaft with a crack are established by adapting the local stiffness change through breathing and gaping from the crack to an undamaged shaft. This is the reference system for the given system. Based on a model for transient behavior induced from vibration measured at the bearings, a nonlinear state observer is designed to detect cracks on the shaft. This is the elementary NL-observer (Beo). Using the observer, an Estimator (Observer Bank) is established and arranged at the certain position on the shaft. When a crack position is localized, the procedure for estimating of the depth is engaged.

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유효 $K_{1d}$ 산정을 위한 샬피 충격시험편의 노치형상에 관한 연구 (An Evaluation of Notch Shpae for Estimation of Available $K_{1d}$ by Instrumented Charpy Impact Test)

  • 우창기;강동명;이하성
    • 한국자동차공학회논문집
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    • 제7권6호
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    • pp.135-143
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    • 1999
  • This investigation evaluates effects of notch depth, fatigue precrack length and side groove in impact specimen for estimation of a valid K1d by instrumented Charpy impact test. Specimen material is 6005-T6. for notch depth 2.0mm and 2.5mm specimens or within about 2mm fatigue precrack length with notch depth 2.0mm and 2.5mm specimens or within about 2mm fatigue precrack length with notch depth 2.0mm , dynamic fracture toughness [$K_{1d,(1)}$] obtained by crack initiation load($P_m$) should be used. Dynamic fracture toughness of side grooved specimens are overestimated to that of standard impact specimen about 15 %-20%. It is confirmed that the formula of dynamic fracture toughness obtained by impact absorbed energy is inappropriate for ductile materials.

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열화상 이미지와 환경변수를 이용한 콘크리트 균열 깊이 예측 머신 러닝 분석 (Comparison Analysis of Machine Learning for Concrete Crack Depths Prediction Using Thermal Image and Environmental Parameters)

  • 김지형;장아름;박민재;주영규
    • 한국공간구조학회논문집
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    • 제21권2호
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    • pp.99-110
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    • 2021
  • This study presents the estimation of crack depth by analyzing temperatures extracted from thermal images and environmental parameters such as air temperature, air humidity, illumination. The statistics of all acquired features and the correlation coefficient among thermal images and environmental parameters are presented. The concrete crack depths were predicted by four different machine learning models: Multi-Layer Perceptron (MLP), Random Forest (RF), Gradient Boosting (GB), and AdaBoost (AB). The machine learning algorithms are validated by the coefficient of determination, accuracy, and Mean Absolute Percentage Error (MAPE). The AB model had a great performance among the four models due to the non-linearity of features and weak learner aggregation with weights on misclassified data. The maximum depth 11 of the base estimator in the AB model is efficient with high performance with 97.6% of accuracy and 0.07% of MAPE. Feature importances, permutation importance, and partial dependence are analyzed in the AB model. The results show that the marginal effect of air humidity, crack depth, and crack temperature in order is higher than that of the others.

차원 축소된 표면파 투과 함수와 인공신경망을 이용한 콘크리트 구조물의 균열 깊이 평가 기법 (Dimensionality Reduced Wave Transmission Function and Neural Networks for Crack Depth Estimation in Concrete Structures)

  • 신성우;윤정방
    • 한국전산구조공학회논문집
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    • 제20권3호
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    • pp.247-253
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    • 2007
  • 현장에서 콘크리트 구조물의 균열 깊이를 추정하기 위한 자기 보정 표면파 투과 측정과 측정된 투과 함수의 차단주파수를 이용하는 기존의 방법은 측정 조건에 따른 투과 함수의 변동성이 매우 커서 실제로 적용하기가 어려운 단점이 있다. 본 연구에서는 차단주파수와 같이 특정 주파수를 선정하여 균열 깊이를 추정하는 방법 대신에 측정된 자기 보정 표면파 투과 함수 자체를 균열 깊이 추정에 이용하는 방법을 제안하고자 한다. 이를 위하여 다양한 균열 깊이에서 측정된 자기 보정 표면파 투과 함수를 주성분 분석법을 이용하여 차원을 축소한 후, 축소된 투과 함수를 인공신경망의 입력으로 사용하여 이로부터 균열 깊이를 추정하는 방법을 제시하였다. 한편, 제안된 방법의 유효성을 판단하기 위하여 서로 다른 균열 깊이를 가진 5개의 실험체에 대하여 실험적인 연구를 수행하였으며, 실험 결과 제안된 방법이 콘크리트 구조물이 균열 질이 평가에 매우 유효한 방법임을 알 수 있었다.

Noise and Fault Diagnosis Using Control Theory

  • Park, Rai-Wung;Sul Cho
    • Transactions on Control, Automation and Systems Engineering
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    • 제2권1호
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    • pp.24-30
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    • 2000
  • The aim of this paper is to describe an advanced method of the fault diagnosis using Control Theory with reference to a crack detection, a new way to localize the crack position under influence of the plant disturbance and white measurement noise on a rotating shaft. As the first step, the shaft is physically modelled with a finite element method as usual and the dynamic mathematical model is derived from it using the Hamilton-principle and in this way the system is modelled by various subsystems. The equations of motions with a crack are established by the adaption of the local stiffness change through breathing and gaping[1] from the crack to the equation of motion with an undamaged shaft. This is supposed to be regarded as a reference system for the given system. Based on the fictitious model of the time behaviour induced from vibration phenomena measured at the bearings, a nonlinear state observer is designed in order to detect the crack on the shaft. This is the elementary NL-observer(EOB). Using the elementary observer, an Estimator(Observer Bank) is established and arranged at the certain position on the shaft. In case, a crack is found and its position is known, the procedure, fro the estimation of the depth is going to begin.

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