• 농업과학연구
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• 제49권4호
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• pp.937-948
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• 2022

Agricultural operations are performed in uneven environments by attaching an implement on the 3-point hitch of a tractor. A high load is thus placed on the 3-point hitch, and fatigue and failure of the hitch may occur during agricultural operations. In this study, a dynamic simulation model was developed to predict the load occurring on the eyebolt of a 3-point hitch, which is the main damaged component. The simulation model was developed and validated using agricultural data as simulation input and validation data. The dynamics model was developed using the specifications of a 78 kW class tractor. A measurement system was constructed to measure the simulation input and validation data. The simulation model was validated using a traction load on an eye bolt, which was measured during plow tillage operation. The measurement results showed that the average traction load on the left and right lower link and the top link were 8,099.97, 4,943.06, and 636.11 N, respectively. The simulation results and the measured traction load on the left eyebolt were respectively 610.30 and 597.15 N. The simulation results and measured traction load on the left eyebolt were respectively 1,179.78, and 1,145.06 N. The error between the simulation and measurement data was roughly 2% on the left eyebolt and 3% on the right eyebolt.

• Steel and Composite Structures
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• 제16권6호
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• pp.703-718
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• 2014

The initial clamping forces of high strength bolts subjected to different faying surface conditions drop within 500 hours regardless of loading, any other external force or loosening of the nut. This study develops a mathematical model for relaxation confined to creep on a coated faying surface after initial clamping. The quantitative model for estimating relaxation was derived from a regression analysis for the relation between the creep strain of the coated surface and the elapsed time for 744 hours. This study establishes an expected model for estimating the relaxation of bolted joints with diverse coated surfaces. The candidate bolts are dacro-coated tension control bolts, ASTM A490 bolt, and plain tension control bolts. The test parameters were coating thickness, species of coating. As for 96, 128, 168, and $226{\mu}m$ thick inorganic zinc, when the coating thickness was increased, relaxation after the initial clamping rose to a much higher range from 10% to 18% due to creep of the coating. The amount of relaxation up to 7 days exceeded 85% of the entire relaxation. From this result, the equation for creep strain can be derived from a statistical regression analysis. Based on the acquired creep behavior, it is expected that the clamping force reflecting relaxation after the elapse of constant time can be calculated from the initial clamping force. The manufacturer's recommendation of inorganic zinc on faying surface as $75{\mu}m$, appears to be reasonable.

• 조명전기설비학회논문지
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• 제22권12호
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• pp.56-63
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• 2008

8각 미러를 이용한 원형 오링, 볼트, 플라스틱 가스켓의 측면 검사시스템을 개발하였다. 검사시스템은 1대의 CCD 카메라와 조명, 1, 2차 8각 미러로 이루어졌으며, 3종류 샘플의 영상 획득을 위해 조명과 미러를 조정하여 시스템을 구성하고 이에 대한 영상처리 알고리즘을 제안하였다. 제안된 알고리즘의 효율성은 각각의 제품에 대하여 실험을 통하여 입증하였고 검사속도는 독립형 카메라로 최대 0.2초 이내이었다. 이러한 검사 시스템은 다양한 원형제품의 측면검사에서 응용될 수 있다.

• Smart Structures and Systems
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• 제24권6호
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• pp.693-707
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• 2019

This paper proposes an integrated safety assessment method that can take multiple sources data into consideration based on a data fusion approach. Data cleaning using the Kalman filter method (KF) was conducted first for monitoring data from each sensor. The inclination data from the four tilt sensors of the same monitoring section have been associated to synchronize in time. Secondly, the finite element method (FEM) model was established to physically correlate the external forces with various structural responses of the shield tunnel, including the measured inclination. Response surface method (RSM) was adopted to express the relationship between external forces and the structural responses. Then, the external forces were updated based on the in situ monitoring data from tilt sensors using the extended Kalman filter method (EKF). Finally, mechanics parameters of the tunnel lining were estimated based on the updated data to make an integrated safety assessment. An application example of the proposed method was presented for an urban tunnel during a nearby deep excavation with multiple source monitoring plans. The change of tunnel convergence, bolt stress and segment internal forces can also be calculated based on the real time deformation monitoring of the shield tunnel. The proposed method was verified by predicting the data using the other three sensors in the same section. The correlation among different monitoring data has been discussed before the conclusion was drawn.

• 한국터널지하공간학회 논문집
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• 제24권5호
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• pp.411-429
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• 2022

NATM 터널에서 계측은 필수 불가결한 요소이나 계측기의 신뢰도를 검증할 방법, 절차, 규정 등에 대한 연구가 부족함으로 인해 터널에서 계측기가 성능검증 절차 없이 설치 및 적용되고 있다. 본 연구에서는 국내외 계측 검·교정 관련 규정을 조사하고 공인 인정기준의 필요성을 제시하였다. 또한 터널계측기 중 록볼트 축력계와 지중변위계를 대상으로 계측기의 불량원인을 외관검사로 파악하였으며 성능검사를 위해 단계별 하중 재하가 가능한 검증 장치를 개발하여 국내 9개 계측제조업체의 정밀계측기 불량원인을 파악하였다. 개별센서 위주의 성능테스트도 중요하나 완제품 상태에서 검증 절차를 통과해야 함이 필수적이므로 이에 따른 성능검사 방법과 절차를 제시하였다. 본 연구를 통하여 향후 계측기 성능검증을 위한 관련 규정 마련과 현장에서 계측기를 선정하는 데 도움이 될 것으로 판단된다.

• Smart Structures and Systems
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• 제29권4호
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• pp.625-640
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• 2022

Maglev rail joints are vital components serving as connections between the adjacent F-type rail sections in maglev guideway. Damage to maglev rail joints such as bolt looseness may result in rough suspension gap fluctuation, failure of suspension control, and even sudden clash between the electromagnets and F-type rail. The condition monitoring of maglev rail joints is therefore highly desirable to maintain safe operation of maglev. In this connection, an online damage detection approach based on three-dimensional (3D) convolutional neural network (CNN) and time-frequency characterization is developed for simultaneous detection of multiple damage of maglev rail joints in this paper. The training and testing data used for condition evaluation of maglev rail joints consist of two months of acceleration recordings, which were acquired in-situ from different rail joints by an integrated online monitoring system during a maglev train running on a test line. Short-time Fourier transform (STFT) method is applied to transform the raw monitoring data into time-frequency spectrograms (TFS). Three CNN architectures, i.e., small-sized CNN (S-CNN), middle-sized CNN (M-CNN), and large-sized CNN (L-CNN), are configured for trial calculation and the M-CNN model with excellent prediction accuracy and high computational efficiency is finally optioned for multiple damage detection of maglev rail joints. Results show that the rail joints in three different conditions (bolt-looseness-caused rail step, misalignment-caused lateral dislocation, and normal condition) are successfully identified by the proposed approach, even when using data collected from rail joints from which no data were used in the CNN training. The capability of the proposed method is further examined by using the data collected after the loosed bolts have been replaced. In addition, by comparison with the results of CNN using frequency spectrum and traditional neural network using TFS, the proposed TFS-CNN framework is proven more accurate and robust for multiple damage detection of maglev rail joints.

• Smart Structures and Systems
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• 제21권5호
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• pp.695-703
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• 2018

Based on monitoring data collected from the Nanjing Dashengguan Bridge over the last five years, this paper systematically investigates the effects of temperature field and train loadings on the structural responses of this long-span high-speed railway bridge, and establishes the early warning thresholds for various structural responses. Then, some lessons drawn from the structural health monitoring system of this bridge are summarized. The main context includes: (1) Polynomial regression models are established for monitoring temperature effects on modal frequencies of the main girder and hangers, longitudinal displacements of the bearings, and static strains of the truss members; (2) The correlation between structural vibration accelerations and train speeds is investigated, focusing on the resonance characteristics of the bridge at the specific train speeds; (3) With regard to various static and dynamic responses of the bridge, early warning thresholds are established by using mean control chart analysis and probabilistic analysis; (4) Two lessons are drawn from the experiences in the bridge operation, which involves the lacks of the health monitoring for telescopic devices on the beam-end and bolt fractures in key members of the main truss.

• Smart Structures and Systems
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• 제18권3호
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• pp.501-523
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• 2016

Electromechanical impedance (EMI) based structural health monitoring is performed by measuring the variation in the impedance due to the structural local damage. The impedance signals are acquired from the piezoelectric patches that are bonded on the structural surface. The impedance variation, which is directly related to the mechanical properties of the structure, indicates the presence of local structural damage. Two traditional EMI-based damage detection methods are based on calculating the difference between the measured impedance signals in the frequency domain from the baseline and the current structures. In this paper, a new structural damage detection approach by analyzing the time domain impedance responses is proposed. The measured time domain responses from the piezoelectric transducers will be used for analysis. With the use of the Time Frequency Autoregressive Moving Average (TFARMA) model, a damage index based on Singular Value Decomposition (SVD) is defined to identify the existence of the structural local damage. Experimental studies on a space steel truss bridge model in the laboratory are conducted to verify the proposed approach. Four piezoelectric transducers are attached at different locations and excited by a sweep-frequency signal. The impedance responses at different locations are analyzed with TFARMA model to investigate the effectiveness and performance of the proposed approach. The results demonstrate that the proposed approach is very sensitive and robust in detecting the bolt damage in the gusset plates of steel truss bridges.

• 한국터널지하공간학회 논문집
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• 제25권1호
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• pp.1-11
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• 2023

본 연구에서는 수치해석을 이용해 주방식 지하공간의 안정성을 검토하고 고찰하였다. 수치해석을 수행하기에 앞서 현장지반조사를 수행하고 지반조사결과를 이용하여 지보패턴을 선정하였다. 지보패턴은 암반 등급 별 Type-1, 2, 3을 선정하였으며 주방식 지하공간은 암주와 지하공간으로 구성된 형상으로 구성되어 효과적인 모사를 위해 3차원 수치해석모델을 개발하였다. 지보패턴 안정성 검토결과, 모든 지보패턴에서 천단변위, 내공변위, 지보재 응력 모두 안정한 것으로 확인되었다. 시공단계에 의한 해석결과, 암주가 형성되는 시공단계에서 지하공간에 과도한 응력이 발생하는 경향이 확인되었다. 이를 통해, 실제 시공 시 암주 형성 시공단계에서 정밀한 시공이 요구될 것으로 판단된다.

• 한국강구조학회 논문집
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• 제22권5호
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• pp.477-485
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• 2010

다양한 모니터링 센서는 구조물의 손상측정과 예측에 많이 사용되고 있다. 광섬유센서, 압전소자(PZT) 센서, MEMS(Micro Electro Mechanical System)센서 등의 스마트 센서는 기존 센서를 대체하여 많은 분야에서 사용되고 있다. 본 논문에서는 PZT센서를 실험체에 부착한 후 충격하중을 가하여 PZT센서의 출력 전압의 특성을 이용하여 실험체의 손상을 예측하고자 하였다. PZT센서를 이용한 보 이음부의 손상실험에서는 $H-400{\times}200{\times}8{\times}13$ 철골을 이용하여 단순보를 제작하고 중앙에 볼트 이음을 하였으며, PZT센서의 민감도 측정을 위해 기존 가속도계의 가속도값과 PZT센서의 전압값의 FFT 결과를 비교하였다. 또한 이음부의 볼트풀림을 이용하여 단순보의 손상을 가정하고 손상계측실험도 병행하였다. 철골 플레이트 보의 손상계측 실험에서는 $PL600{\times}65{\times}5.8$로 단순보 실험체를 제작하여 세 곳에 손상을 주어 충격하중 실험을 하였다. 손상의 정도는 쇠톱을 이용하여 보 단면의 양쪽에 6~42 mm로 절단하였다. FFT를 사용하여 손상의 유무에 따른 고유진동수의 비(${\omega}_c/{\omega}$)를 구하여 손상을 파악하였고 모드에 따른 손상의 위치와 정도를 파악하였다.