• 한국소음진동공학회:학술대회논문집
• /
• 한국소음진동공학회 2013년도 추계학술대회 논문집
• /
• pp.320-324
• /
• 2013

A crack identification method using an equivalent bending stiffness for cracked beam and committee of neural networks is presented. The equivalent bending stiffness is constructed based on an energy method for a straight thin-walled pipe, which has a through-the-thickness crack, subjected to bending. Several numerical analysis for a steel cantilever pipe using the equivalent bending stiffness are carried out to extract the natural frequencies and mode shapes of the cracked beam. The extracted modal properties are used in constructing a training patterns of a neural network. The input to the neural network consists of the modal properties and the output is composed of the crack location and size. Multiple neural networks are constructed and each individual network is trained independently with different initial synaptic weights. Then, the estimated crack locations and sizes from different neural networks are averaged. Experimental crack detection is carried out for 3 damage cases using the proposed method, and the identified crack locations and sizes agree reasonably well with the exact values.

• Smart Structures and Systems
• /
• 제23권5호
• /
• pp.405-420
• /
• 2019

In this study, vibration characteristics of offshore wind turbine tower (WTT) with gravity-based foundation (GBF) are identified from dynamic responses under wave-induced excitations. The following approaches are implemented to achieve the objective. Firstly, the operational modal analysis methods such as frequency domain decomposition (FDD) and stochastic subspace identification (SSI) are selected to estimate modal parameters from output-only dynamic responses. Secondly, a GBF WTT model composed of superstructure, substructure and foundation is simulated as a case study by using a structural analysis program, MIDAS FEA. Thirdly, wave pressures acting on the WTT structure are established by nonlinear regular waves which are simulated from a computational fluid software, Flow 3D. Wave-induced acceleration responses of the target structure are analyzed by applying the simulated wave pressures to the GBF WTT model. Finally, modal parameters such as natural frequencies and mode shapes are estimated from the output-only acceleration responses and compared with the results from free vibration analysis. The effect of wave height and period on modal parameter extraction is also investigated for the mode identification of the GBF WTT.

• Smart Structures and Systems
• /
• 제1권1호
• /
• pp.83-101
• /
• 2005

This paper summarizes the application of a rational methodology for the structural assessment of older reinforced concrete Tunisian bridges. This methodology is based on ambient vibration measurement of the bridge, identification of the structure's modal signature and finite element model updating. The selected case study is the Boujnah bridge of the Tunis-Msaken Highway. This bridge is made of a continuous four-span simply supported reinforced concrete slab without girders resting on elastomeric bearings at each support. Ambient vibration tests were conducted on the bridge using a data acquisition system with nine force-balance accelerometers placed at selected locations of the bridge. The Enhanced Frequency Domain Decomposition technique was applied to extract the dynamic characteristics of the bridge. The finite element model was updated in order to obtain a reasonable correlation between experimental and numerical modal properties. For the model updating part of the study, the parameters selected for the updating process include the concrete modulus of elasticity, the elastic bearing stiffness and the foundation spring stiffnesses. The primary objective of the paper is to demonstrate the use of the Enhanced Frequency Domain Decomposition technique combined with model updating to provide data that could be used to assess the structural condition of the selected bridge. The application of the proposed methodology led to a relatively faithful linear elastic model of the bridge in its present condition.

• 한국소음진동공학회논문집
• /
• 제23권6호
• /
• pp.527-536
• /
• 2013

In order to predict structural vibration and radiated noise of high-voltage transformer in operation, it is necessary to precisely find the excitation force generated by the coils and core. However, finding the excitation force through experiments of high voltage transformer in operation is not possible. Therefore, this paper deals with identifying the excitation force by using the acceleration data measured through experiments and the transfer function estimated through finite element model. A method to predict structural vibration and radiated noise was also proposed. Three-phase windings and the core are the source of high-voltage transformer. The excitation forces were identified using the acceleration data and the transfer function of the surface of the tank. Structural vibration and radiated noise from the surface of the tank was predicted by using the identified excitation force. As a result of the interpretation of the experimental and computational analysis of structural vibration from the surface of the tank and radiated noise from the field point, the interpretation of the computational analysis showed relatively good accordance with the experiment.

• 대한기계학회논문집A
• /
• 제36권11호
• /
• pp.1371-1379
• /
• 2012

본 논문에서는 직접분사 가솔린엔진 부품에 의해서 발생하는 진동에 대한 기여도를 분석하는 방법을 제시한다. 본 연구에서는 부분기여도함수를 적용하여 부품 상호간의 관련성에 대한 진동원을 규명 하는데 사용하였다. 직접분사 가솔린 엔진 부품의 진동원을 규명하는데 부분기여도함수 방법을 사용하기 위해서는 시스템의 모델링이 필요하며 본 연구에서는 진동 발생 경로를 2 입력과 단일 출력계로 시스템을 모델링하였다. 이 모델링을 증명 하기 위해서, 직접분사가솔린 엔진의 진동원인 고압펌프, 연료레일, 인젝터, 고압센서에 3 축 가속도계 센서로 각 부품의 진동을 측정했다. 이 모델링을 바탕으로 각각의 진동원에 대한 부분기여도 함수를 구했으며, 직접분사 부품들의 각각의 진동 기여도를 계산하였다. 부분기여도 함수를 바탕으로 한 모델링을 통해 각 부품들에서 발생되는 진동 출력 기여 값을 정량적으로 도출하였다.

• 소음진동
• /
• 제21권4호
• /
• pp.30-32
• /
• 2011

• 한국전기전자재료학회:학술대회논문집
• /
• 한국전기전자재료학회 1998년도 추계학술대회 논문집
• /
• pp.69-72
• /
• 1998

A study to identify the energized status of the 22.9kV underground power cable by the detection of vibration was reformed. We derived that there exists vibration at double the line frequency in live cables by electromagnetic force. The vibration can be picked up by accelerometer sensor. A prototype was tested on the underground distribution system in Chonan Station, KEPCO. The results are presented and suggest the applicability of the detecting device.

• 한국전산구조공학회논문집
• /
• 제28권3호
• /
• pp.293-300
• /
• 2015

본 연구에서는 저층 조적채움벽 철근콘크리트 골조 구조물의 내진보강 전과 후에 대하여 강제 진동 실험과 상시 진동 계측을 수행하였으며 시스템 식별과정을 통하여 구조물의 동특성을 구하고 해당 구조물과 유사한 동특성을 보이는 해석 모델을 만들었다. 시스템 식별 결과 댐퍼가 설치된 x방향의 감쇠비가 증가되었으며, 해석 모델과 비교한 결과 추가 설치된 부재들(전단벽과 댐퍼)의 유효 강성은 부재의 총단면 강성의 50%만이 발현되어 해당 부재들이 기존의 구조물이나 부재와 완전히 일체화되지는 않음을 알 수 있었다. 또한, 추가 설치된 기초의 y방향 구속조건을 핀으로 하여야 동특성을 일치시킬 수 있었는데, 이는 새로운 기초가 설치되며 해당 지질의 특성이 변화되었기 때문으로 보인다.

• 한국지진공학회논문집
• /
• 제10권5호
• /
• pp.107-115
• /
• 2006

지진과 같은 재난이 발생하였을 때에도 전력설비는 그 본래의 기능을 상실하지 않고 구조적인 안정성을 유지해야 하는 핵심 산업시설물이다. 이 연구는 가장 대표적인 전력설비인 154kV 변압기에 부착된 애자형 부싱의 진동특성과 내진성능을 분석하였다. 연구의 목적에 따라 국내에서 운용하던 실제 154kV 변압기 부싱을 대상으로 30tonf 용량의 진동대를 이용하여 진동시험이 실시되었다. 진동시험은 동특성분석시험과 내진성능시험 그리고 파괴한도시험으로 구분하고, 각각의 시험에는 정현소인파, 인공지진파 그리고 연속공진정현파를 진동대운동으로 입력하였다. 이 논문에는 시험에 사용된 시편과 진동설비의 특성 그리고, 시험 방법 및 종류를 설명하고, 시험 결과 얻어진 계측자료의 특성에 대하여 논의한다. 이 연구를 통하여 국내에서 운용중인 154kV 변압기 부싱은 그 고유진동수가 20Hz 이상인 고진동수 설비이며, 감쇠비는 4%미만인 것으로 분석되었다. 또한, 특별한 경우를 제외하고, 변압기 부싱은 국내의 설계기준지진에 대하여 충분한 내진안전성을 보유하고 있으며, 강한 공진운동에 의해 예상되는 부싱의 최초 파괴모드는 하단 개스킷의 파손인 것으로 밝혀졌다.

• Smart Structures and Systems
• /
• 제10권3호
• /
• pp.253-269
• /
• 2012

A split spectrum processing (SSP) method is proposed to accurately determine the time-of-flight (ToF) of damage-scattered waves by comparing the instantaneous amplitude variation degree (IAVD) of a wave signal captured from a damage case with that from the benchmark. The fundamental symmetrical ($S_0$) mode in aluminum plates without and with a notch is assessed. The efficiency of the proposed SSP method and Hilbert transform in determining the ToF of damage-scattered $S_0$ mode is evaluated for damage identification when the wave signals are severely contaminated by noise. Broadband noise can overwhelm damage-scattered wave signals in the time domain, and the Hilbert transform is only competent for determining the ToF of damage-scattered $S_0$ mode in a noise-free condition. However, the calibrated IAVD of the captured wave signal is minimally affected by noise, and the proposed SSP method is capable of determining the ToF of damage-scattered $S_0$ mode accurately even though the captured wave signal is severely contaminated by broadband noise, leading to the successful identification of damage (within an error on the order of the damage size) using a triangulation algorithm.