• Journal of Biosystems Engineering
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• 제26권4호
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• pp.315-322
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• 2001

Agricultural products can be damaged due to the vibration of transporting trailer on the off-road. So, this study was conducted to identify the vibration characteristics of the agricultural products transporting trailer by measuring the vertical acceleration according to positions on the trailer loaded with agricultural products. The results of this study can be summarized as follows: 1. At non-operating state of engine, the larger vertical acceleration was occurred at rear side compared with front side in the case of 4.5Hz of vibration frequency. But, in the case of 53.5Hz of frequency, the maximum vertical acceleration at front side of trailer was higher than value at rear side. So, the maximum acceleration at front side of the trailer was increased with the increase in frequency. 2. At operating state of engine, the maximum vertical acceleration at front side of the trailer was increased with the increase in frequency. 2 At operating state of engine, the maximum vertical acceleration delivered through the hitch from the engine was occurred at front side of the trailer as $3.0\times10^{-3}m/s^2$, in the case of 8.75Hz of frequency. But, in the case of 102.5Hz of high frequency, the maximum vertical acceleration was occurred at rear side of the trailer. 3. When the power tiller loaded with pear of 325kg was travelling on the artificial uneven road of 3cm height, the maximum acceleration was occurred at rear side of the trailer as $4.7\times10^{-3}m/s^2$at 3.75Hz of frequency. But, that was occurred at diagonal of the trailer 43.5Hz and 91.25Hz, which meant that there was rolling and pitching on the trailer. 4. At operating state of engine, the mean acceleration of the trailer delivered through the hitch according to the increase in frequencies was showed the maximum value at range of 40-90Hz. At rear side of traiㅣer, the maximum value was occurred at about 40Hz, and that was reduced according to the increase in frequencies and diminished at about 100Hz. 5. When the power tiller loaded with pear of 32.5kg was travelling on the artificial uneven road of 3cm height, the mean acceleration by the increase in frequencies was showed lower level at rear side than front side of the trailer. This was opposite configuration to the Hinsch’s results tested with air-conditioned truck. This means that the shorter length of the trailer, the more effect of engine vibration is transferred to the front side of trailer.

• 대한토목학회논문집
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• 제42권1호
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• pp.23-33
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• 2022

상시미동의 수직성분에 대한 수평성분 스펙트럼비(HVSR)는 부지 공명주파수를 파악하는데 활발히 사용되고 있다. HVSR의 가장 큰 비율을 가지는 주파수는 부지 공명주파수와 일치한다. 상시미동은 부지 주변에 존재하는 미세진동을 의미하기 때문에 직접적인 진동원을 파악할 수 없으며, 또한 조절할 수 없다. 따라서 신뢰적인 상시미동 HVSR을 구하기 위해서는 상시미동 측정에 충분한 시간적 여유와 주변 환경의 파악 또한 필요하다. 본 연구에서는 신뢰적인 HVSR 분석에 필요한 상시미동 측정 최소시간과 지진계와 인위적인 진동 사이의 이격거리의 영향을 알아보았다. 토사 부지의 경우 센서 설치 후 5분 이내에 안정화가 되었으나, 암반 부지의 경우 안정화까지 1시간 이상이 소요되었다. 또한 상시미동 관측 시 발걸음 진동이 지진계 10 m 이내에 존재할 경우 HVSR결과에 큰 영향을 미치는 것을 확인하였다. 이러한 결과는 현장에서 상시미동의 HVSR측정에 필요한 가이드라인을 제공할 것으로 기대된다.

• Journal of Advanced Marine Engineering and Technology
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• 제38권10호
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• pp.1275-1280
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• 2014

In this study, the performance of a real-time micro telescopic monitoring system is evaluated, in which an artificial neural network is adopted for the diagnoses of vibratory bodies, such as solid piping system or machinery. The structural vibration was measured by a non-contact remote sensing method, in which images of a high-speed high-definition camera were used. The structural vibration data that can be obtained by the PIV (particle image velocimetry) technique were used for training the neural network. The structures of the neural network are dynamically changed and their performances are evaluated for the constructed diagnosis system. Optimized structures of the neural network are proposed for real-time diagnosis for the piping system. It was experimentally verified that the performances of the neural network used for real-time monitoring are influenced by the types of the vibration data, such as minimum, maximum and average values of the vibration data. It concludes that the time-mean values are most appropriate for monitoring the piping system.

• International Journal of Railway
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• 제3권3호
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• pp.83-89
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• 2010

This paper attempts to extract the fundamental dynamic properties, i.e. natural frequencies, damping ratios of the 48 m-long, $20^{\circ}$ skewed real bridge with PSC girders wrapped by a steel plate. The forced vibration test is achieved by mounting 12 Hz-capacity of artificial oscillator on the top of bridge deck. The acceleration histories at the 9 different locations of deck surface are recorded using accelerometors. From this full-scaled vibration test, the two possible resonance frequencies are detected at 2.38 Hz and 9.86 Hz of the skewed bridge deck by sweeping a beating frequency up to 12 Hz. The absolute acceleration/energy exhibits much higher in case of higher-order twist mode, 9.86 Hz due to the skewness of bridge deck which leads asymmetric situation of vibration. This implies the test bridge is under swinging vertically in fundamental flexure mode while the bridge is also flickered up and down laterally at 9.86 Hz. This is probably by asymmetric geometry of skewed deck. A detailed 3D beam-shell bridge models using finite elements are performed under a series of train loads for modal dynamic analyses. Thereby, the effect of skewness is examined to clarify the lateral flickering caused by asymmetrical geometry of bridge deck.

• Smart Structures and Systems
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• 제20권6호
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• pp.657-668
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• 2017

In this research, an active vibration suppression of a smart beam having piezoelectric sensor and actuators is investigated by designing separate controllers comprising a linear quadratic regulator and a neural network. Firstly, design of a smart beam which consists of a cantilever aluminum beam with surface bonded piezoelectric patches and a designed mechanism having a micro servomotor with a mass attached arm for obtaining variations in the frequency response function are presented. Secondly, the frequency response functions of the smart beam are investigated experimentally by using different piezoelectric patch combinations and the analytical models of the smart beam around its first resonance frequency region for various servomotor arm angle configurations are obtained. Then, a linear quadratic regulator controller is designed and used to simulate the suppression of free and forced vibrations which are performed both in time and frequency domain. In parallel to simulations, experiments are conducted to observe the closed loop behavior of the smart beam and the results are compared as well. Finally, active vibration suppression of the smart beam is investigated by using a linear controller with a neural network based adaptive element which is designed for the purpose of overcoming the undesired consequences due to variations in the real system.

• Smart Structures and Systems
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• 제30권6호
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• pp.557-569
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• 2022

Vibration-based structural health monitoring (SHM) is crucial for the dynamic maintenance of civil building structures to protect property security and the lives of the public. Analyzing these vibrations with modern artificial intelligence and deep learning (DL) methods is a new trend. This paper proposed an unsupervised deep learning method based on a convolutional autoencoder (CAE), which can overcome the limitations of conventional supervised deep learning. With the convolutional core applied to the DL network, the method can extract features self-adaptively and efficiently. The effectiveness of the method in detecting damage is then tested using a benchmark model. Thereafter, this method is used to detect damage and instant disaster events in a rubber bearing-isolated gymnasium structure. The results indicate that the method enables the CAE network to learn the intact vibrations, so as to distinguish between different damage states of the benchmark model, and the outcome meets the high-dimensional data distribution characteristics visualized by the t-SNE method. Besides, the CAE-based network trained with daily vibrations of the isolating layer in the gymnasium can precisely recover newly collected vibration and detect the occurrence of the ground motion. The proposed method is effective at identifying nonlinear variations in the dynamic responses and has the potential to be used for structural condition assessment and safety warning.

• 한국음향학회지
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• 제40권3호
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• pp.192-200
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• 2021

한국종은 거시적으로 축 대칭 구조이나, 복잡한 문양과 주조 오차로 인해 미세한 비대칭성을 갖는다. 작은 비대칭성은 하나의 진동모드를 미세한 주파수 차이를 갖는 모드 쌍으로 분리하고, 모드 쌍이 서로 간섭하여 맥놀이를 만든다. 적절한 주기의 선명한 맥놀이는 종소리를 웅장하게 만들고 생동감을 준다. 본 연구에서는 인공 덤쇠를 사용하여 선명한 맥놀이를 만드는 방법을 제시한다. 설계 단계에서 종의 비대칭성을 압도하는 크기의 인공 덤쇠를 만들어 선명한 맥놀이 조건을 구현하면 주조 후에 주기만 조절하면 된다. 이를 위해 현대에 제작된 대형 한국종의 맥놀이 주기 데이터를 분석하고 등가 종 모델을 이용하여 비대칭성의 크기를 정량화시킨다. 등가 종 모델의 유한요소해석을 통해 덤쇠의 위치와 크기에 따른 모드 쌍의 이동을 예측하고 선명한 맥놀이를 내는 인공 덤쇠의 설계사례를 소개한다.

• 대한토목학회논문집
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• 제33권2호
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• pp.619-629
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• 2013

본 연구의 목적은 인공 발파진동실험을 이용하여 흙댐 축조재료의 전단파속도를 추정하고 산정 방법의 실효성을 확인하는 것이다. 이를 위하여 운영 중인 성덕댐에 대하여 국내 최초로 실대규모 근접 발파진동 실험을 수행하였다. 장약량과 발파 시추공심도를 4가지 유형으로 달리한 발파진동을 유발시키고, 각 유형별 발파 시에 폭원에 인접한 기반암노두와 댐 정상부에서 가속도를 각각 계측하였다. 발파진동실험으로부터 댐 정상부에서 얻어진 계측기록을 주파수 분석하여 대상댐의 고유진동수를 산정하고, 계측된 가속도기록으로 산정한 고유진동수와 기반암에서 계측한 발파파 가속도를 입력하중으로 한 반복적인 동적수치해석을 수행하여 계산한 고유진동수를 일치시키는 방법으로, 흙댐 성토재료의 심도별 전단파속도를 추정하였다. 산정된 대상댐 성토재료의 전단파속도는 발파유형에 영향을 받지 않고 일관성 있는 결과를 산정함을 확인하였고, 기존의 경험적 연구결과와 비교하여 그 실효성도 확인하였다. 이로부터 지진계가 설치되지 않아 실지진 계측기록을 이용할 수 없는 중소규모 댐의 경우, 인접발파에 따른 발파진동계측기록에 대한 분석으로도 댐 축조재료의 전단파속도를 실효성 있게 추정할 수 있음을 확인하였다.

• Interaction and multiscale mechanics
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• 제6권4호
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• pp.339-356
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• 2013

This paper investigates the optimized parameters of Tuned Mass Dampers (TMDs) for vibration control of high-rise structures including Soil Structure Interaction (SSI). The Artificial Bee Colony (ABC) method is employed for optimization. The TMD Mass, damping coefficient and spring stiffness are assumed as the design variables of the controller; and the objective is set as the reduction of both the maximum displacement and acceleration of the building. The time domain analysis based on Newmark method is employed to obtain the displacement, velocity and acceleration of different stories and TMD in response to 6 types of far field earthquakes. The optimized mass, frequency and damping ratio are then formulated for different soil types; and employed for the design of TMD for the 40 and 15 story buildings and 10 different earthquakes, and well results are achieved. This study leads the researchers to the better understanding and designing of TMDs as passive controllers for the mitigation of earthquake oscillations.

• 한국정밀공학회지
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• 제12권5호
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• pp.33-39
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• 1995

This paper presents a method of detecting localized defects on tapered roller bearing in main spindle of machine tool system. The statistical parameters in time-domain processing technique have been calculated to extract useful features from bearing vibration signals. These features are used by the input feature of an artificial neural network to detect and diagnose bearing defects. As a results, the detection of bearing defect conditions could be successfully performed by using an artificial neural network with statistical parameters of acceleration signals.