• 한국지진공학회논문집
• /
• 제10권6호
• /
• pp.29-36
• /
• 2006

이 논문에서는 진동형상의 민감도로 유도한 피셔정보행렬(Fisher Information Matrix)를 이용하는 가속도계의 최적위치 결정 기법 MS-EIDV(modal sensitivity-effective independence distribution vector)을 제안하고, 이를 사용하여 구조물의 동적 거동을 잘 반영하여 가속도계의 최적위치를 결정할 수 있는 합리적인 기준을 제시한다. 실험을 위한 가속도계의 최적위치는 구조물의 변수가 기지값이어야 결정되지만 구조물의 변수값은 실험결과를 사용한 SI(system identification)기법과 같은 역해석을 통해 구해지기 때문에, 본 논문에서는 구조변수의 오차를 감안하여 미지의 구조물의 현 상태를 통계적으로 반영하는 방법을 제시하였다. 제안된 방법들의 검증을 위해 주파수영역 SI기법을 적용하였으며, 구조변수 추정 결과를 통해 현장에서 계측하고자하는 진동형상의 수에 따른 최소 필요 가속도계의 개수를 제시하였다. 수치예제에서는 진동형상만을 이용한 최적위치 결정법인 EIDV기법과 제안된 MS-EIDV기법에 의해 추정된 구조 변수 결과를 비교하였다.

• 한국전산구조공학회논문집
• /
• 제19권2호
• /
• pp.125-138
• /
• 2006

교량의 손상추정을 위한 구조계 규명기법은 신호취득시스템 및 정보처리기술의 발전과 함께 최근에 많은 연구개발이 이루어지고 있다. 신경망기법이나 유전자 알고리즘과 같은 소프트컴퓨팅 기법은 뛰어난 패턴인식성능 때문에 손상추정 문제에 활발히 활용되고 있다. 본 연구에서는 모드계수를 활용한 신경망기법기반 손상추정을 수행하였으며, 신경망을 훈련시키기 위한 훈련패턴을 생성하는 해석모델에서의 불확실성을 효과적으로 고려할 수 있는 방법을 제시하였다. 해석모델의 불확실성 대하여 민감하지 않은 입력자료인 손상 전 후의 모드형상의 차 또는 모드형상의 비를 신경망의 입력자료로 활용하였다. 단 순보와 다주형교량에 대한 수치예제를 통하여 본 연구에서 제시한 기법의 타당성 및 적용성을 검증하였다.

• 한국초전도ㆍ저온공학회논문지
• /
• 제21권4호
• /
• pp.9-12
• /
• 2019

We performed Raman spectroscopy on two different over-doped Bi₂Sr₂CaCu₂O_8+x (BSCCO), of which superconducting transition temperatures are 89 K and 77 K. Line-shape analysis of the Raman-spectrum was done, focused on B_1g bond buckling mode which have drawn a lot of attention, since photoemission studies showed an evidence for strong coupling between the mode and electron. The line-shapes show asymmetry and are well fitted by the Fano line-shape formula. Remarkably, we found that the peak line-widths from B_1g bond buckling mode in BSCCO show much broader than those in YBa₂Cu₃O_7-x. The broad line width can be attributed to the superstructure modulation of BSCCO. Our results imply that B_1g bond buckling mode may have close relation to the origin of superconductivity or to boosting the superconducting transition temperature in BSCCO.

• 한국정밀공학회지
• /
• 제30권1호
• /
• pp.47-52
• /
• 2013

In order to operate a search and rescue robot in hazardous area, the robot requires high mobility and adaptable locomotion for moving in unpredictable environments. In this paper, we propose the deformable soft wheel robot that can produce three kinds of driving modes; caterpillar driving mode, normal wheel driving mode, legged-wheel driving mode. The robot changes its driving mode as it faces the various obstacles such as a small gap, stairs etc. Soft film and composite materials are used for fabrication of deformable wheel structure and Shape Memory Alloy (SMA) coil spring actuators are attached on the structure as an artificial muscle. Film lamination and an composite manufacturing process is introduced and the robot design is required to be modified and compromised to applying the manufacturing process. The prototype is developed and tested for verifying feasibility of the deformable wheel locomotion.

• Smart Structures and Systems
• /
• 제31권5호
• /
• pp.485-500
• /
• 2023

Machine learning-based structural health monitoring (ML-based SHM) methods are researched extensively in the recent decade due to the availability of advanced information and sensing technology. ML methods are well-known for their pattern recognition capability for complex problems. However, the main obstacle of ML-based SHM is that it often requires pre-collected historical data for model training. In most actual scenarios, damage presence can be detected using the unsupervised learning method through anomaly detection, but to further identify the damage types would require prior knowledge or historical events as references. This creates the cold-start problem, especially for new and unobserved structures. Modal-based methods identify damages based on the changes in the structural global properties but often require dense measurements for accurate results. Therefore, a two-stage hybrid modal-machine learning damage detection scheme is proposed. The first stage detects damage presence using Principal Component Analysis-Frequency Response Function (PCA-FRF) in an unsupervised manner, whereas the second stage further identifies the damage. To solve the cold-start problem, mode shape assessment using the first mode is initiated when no trained model is available yet in the second stage. The damage identified by the modal-based method would be stored for future training. This work highlights the performance of the scheme in alleviating the cold-start issue as it transitions through different phases, starting from zero damage sample available. Results showed that single and multiple damages can be identified at an acceptable accuracy level even when training samples are limited.

• 대한기계학회논문집B
• /
• 제37권5호
• /
• pp.489-494
• /
• 2013

본 연구는 주기적인 강제 진동이 가해지는 액적의 모드 특성을 실험적으로 이해하는 것을 목적으로 하고 있다. 액적의 공진 주파수 예측을 수행하여 이론 및 실험적 해석을 통해 두 접근방법의 타당성을 파악하였으며, 초고속카메라를 사용하여 액적의 다양한 변형 특성-모드 형상, 분리, 미소 액적의 발생, 그리고 비틀림의 특성을 관찰하였다. 이론 해석 및 실험결과와의 비교에 있어 공진 주파수 값의 차이가 약 15% 이하라는 것이 도출되었으며 이러한 차이의 발생 원인으로 접촉선 마찰, 비선형벽 고착, 실험의 불확실성 등에 큰 영향을 받는 것으로 판단된다. 접촉선이 고정되어있을 경우와 작은 진폭 조건 하에서 액적의 모양은 대칭형상을 가졌으며, 공진 주파수에서의 로브의 크기는 주변부 주파수에서의 로브 크기보다 더 크게 된다는 점을 확인하였다.

• 한국해양공학회지
• /
• 제31권5호
• /
• pp.364-370
• /
• 2017

A numerical model based on the mode superposition method is used to study the vortex-induced vibration response characteristics of a deep-sea riser such as steel catenary riser (SCR). A steel catenary riser can be modeled using a flexible cable with simple supports at both ends. The natural frequency, mode shape and mode curvature of the riser are calculated and the vortex-induced vibration response of the riser is obtained using the equilibrium of the input and output power. The mode superposition method is applied to the vibrational stresses for each mode to calculate the overall riser fatigue life.

• 대한기계학회논문집A
• /
• 제24권4호
• /
• pp.916-925
• /
• 2000

Perhaps, this is the first attempt which applies the wavelet transform to the fundamental vibration mode for damage detection in a beam. Contrary to most existing detection methods on mode shapes, the present method directly works only with the fundamental mode of a damaged beam: no vibration mode shape of a undamaged beam is necessary. Applying the concept of vanishing moments of wavelet functions, we show that wavelet functions are effective damage detectors. Both numerical and experimental results confirm the effectiveness of the present method.

• 한국정밀공학회:학술대회논문집
• /
• 한국정밀공학회 2004년도 추계학술대회 논문집
• /
• pp.487-490
• /
• 2004

In this paper, we investigated the characteristics of initiation and propagation behavior for fatigue crack observed by changing various shapes of initial crack and magnitudes of loading in modified compact tension shear(CTS) specimen subjected to shear loading. In the low-loading condition, the secondary fatigue crack was created in the notch root due to friction on the pre-crack face grew to a main crack. In the high-loading condition, fatigue crack under shear loading propagated branching from the pre-crack tip. Influenced by the shear loading condition, fatigue crack propagation retardation appeared in the initial propagation region due to the reduction of crack driving force and friction on crack face. In both cases, however, fatigue cracks grew in tensile mode type. The propagation path of fatigue crack under the Mode II loading was 70 degree angle from the initial crack regardless of its shape and load magnitude.

• 한국기계가공학회지
• /
• 제9권3호
• /
• pp.35-41
• /
• 2010

In this study, a mode analysis of uncoupled system was discussed using FRF. The eigen-mode range of FRF analysis is consistent with conventional FFT in spectrum. Also, the numerical response of second order uncoupled system was obtained using the Runge-Kutta Gill method. The displacement, velocity and acceleration response were calculated after numerical analysis and its response was used for the calculation of FRF for uncoupled system. Using the separated and mixed response of 1st and 2nd mode in example, its FRF was analysed for the prediction of the uncoupled systems and its mode shape was calculated by solving the eigen problem.