• Structural Engineering and Mechanics
• /
• 제52권3호
• /
• pp.485-505
• /
• 2014

This study aimed to develop an approach to accurately predict the wind models and wind effects of large wind turbines. The wind-induced vibration characteristics of a 5 MW tower-blade coupled wind turbine system have been investigated in this paper. First, the blade-tower integration model was established, which included blades, nacelle, tower and the base of the wind turbine system. The harmonic superposition method and modified blade element momentum theory were then applied to simulate the fluctuating wind field for the rotor blades and tower. Finally, wind-induced responses and equivalent static wind loads (ESWL) of the system were studied based on the modified consistent coupling method, which took into account coupling effects of resonant modes, cross terms of resonant and background responses. Furthermore, useful suggestions were proposed to instruct the wind resistance design of large wind turbines. Based on obtained results, it is shown from the obtained results that wind-induced responses and ESWL were characterized with complicated modal responses, multi-mode coupling effects, and multiple equivalent objectives. Compared with the background component, the resonant component made more contribution to wind-induced responses and equivalent static wind loads at the middle-upper part of the tower and blades, and cross terms between background and resonant components affected the total fluctuation responses, while the background responses were similar with the resonant responses at the bottom of tower.

• Structural Engineering and Mechanics
• /
• 제36권5호
• /
• pp.643-667
• /
• 2010

The classical flexibility difference method detects damage by observing the difference of conventional deflection flexibility matrices between pre- and post-damaged states of a structure. This method is not able to identify multiple damage scenarios, and its criteria to identify damage depend upon the boundary conditions of structures. The key point behind the inability and dependence is revealed in this study. A more feasible flexibility for damage detection, the Angle-between-String-and-Horizon (ASH) flexibility, is proposed. The physical meaning of the new flexibility is given, and synthesis of the new flexibility matrix by modal frequencies and translational mode shapes is formulated. The damage indicators are extracted from the difference of ASH flexibility matrices between the pre- and post-damaged structures. One feature of the ASH flexibility is that the components in the ASH flexibility matrix are associated with elements instead of Nodes or DOFs. Therefore, the damage indicators based on the ASH flexibility are mapped to structural elements directly, and thus they can pinpoint the damaged elements, which is appealing to damage detection for complex structures. In addition, the change in the ASH flexibility caused by damage is not affected by boundary conditions, which simplifies the criteria to identify damage. Moreover, the proposed method can determine relatively the damage severity. Because the proposed damage indicator of an element mainly reflects the deflection change within the element itself, which significantly reduces the influence of the damage in one element on the damage indicators of other damaged elements, the proposed method can identify multiple damage locations. The viability of the proposed approach has been demonstrated by numerical examples and experimental tests on a cantilever beam and a simply supported beam.

• 한국자동차공학회논문집
• /
• 제13권4호
• /
• pp.121-128
• /
• 2005

In most researches on the ride comfort analysis of passenger vehicles, the flexibility of the vehicle body has been not considered as an important factor, because the resonance frequencies of the vehicle body related to pitching, yawing and rolling motions are below 10Hz while the resonance frequencies of the vehicle body related to the flexibility are above 20Hz approximately. Nevertheless, the paper shows that the consideration of the local flexibility (or local stiffness) of the 4 corners on which shock absorbers are mounted influences the ride comfort. A simple beam model is devised to qualitatively examine the effect of the change of the local stiffness of the vehicle body on the ride comfort. Based on the results obtained from the analysis of the one-dimensional model, multi-body dynamic analysis considering the flexibility of the vehicle body is performed using ADAMS and MSC/NASTRAN. Natural frequencies and mode shapes computed by MSC/NASTRAN are used as input data for multi-body dynamic analysis in ADAMS. Through simulations using ADAMS, it has been found that the ride comfort can be improved by changing the local stiffness of the vehicle body and that the simulation results agree with experiment results.

• 대한교통학회지
• /
• 제24권5호
• /
• pp.77-88
• /
• 2006

본 연구는 복합교통망의 실시간적 운영전략에 활용 가능한 동적 K최소시간경로탐색알고리즘을 제안하는 것을 목적으로 한다. 이를 위해 정적 K경로탐색에 적용되었던 전체경로삭제방안을 동적 최적경로탐색알고리즘에 확장 적용함으로써 복합교통망에서 시간종속적으로 변화하는 수단-링크 통행시간과 수단-링크간의 환승비용에 기초하여 경로를 순차적으로 탐색하는 K경로알고리즘을 제시하였다. 특히, 링크기반동적표지를 적용함으로써 수단간 환승시 발생되는 환승이동, 환승대기 및 기타 환승행태를 용이하게 모사하면서 최적해를 도출하도록 하였다. 최적식과 함께 제시된 알고리즘은 복잡도계산을 통해 효율성을 살펴보았으며. 버스와 지하철로 구성된 소규모 가상네트워크에 대해 적용해 봄으로써 알고리즘의 검증 및 활용성을 검토해 보았다.

• 대한교통학회지
• /
• 제31권1호
• /
• pp.15-24
• /
• 2013

국내 도심지역에 대하여 인구 집중현상의 대안으로 복합용도의 초고층건축물이 입지하는 추세에 따라 급격한 유발수요의 증가가 예상되며 이는 주변의 교통문제 발생의 원인으로 작용한다. 따라서 초고층건축물이 입지 후를 고려하여 대중교통 활성화, 주차 상한제 등을 통한 교통수요억제 등의 정책을 제시하고 있으나 교통기반시설에 대한 정량적인 대안이 부족한 상황이다. 이에 본 연구는 초고층건축물의 규모, 용도에 대해 분류하고 각각에 따른 수단분담률을 조정하여 수단별 유발수요를 산정하였다. 도로의 경우 가로망 지체를 통하여 조건에 따른 평균변화량을 산출하였고 대중교통의 경우 노선수를 통한 적정 시설 규모를 판단함으로써 초고층건축물에 따라 적절한 대안을 제시 가능할 것으로 판단된다.

• 한국소음진동공학회:학술대회논문집
• /
• 한국소음진동공학회 2005년도 추계학술대회논문집
• /
• pp.503-506
• /
• 2005

The PWR Nuclear Fuel assembly consists of more than 250 fuel rods that are supported by leaf springs in the cells of more than 10 Spacer Grids (SG) along the rod length. Since it is not easy to conduct mechanical tests on a full-scale model basis, the small-scaled rod bundle (5$\times$5) is generally used for various performance tests during the development stage. As one of the small-scaled tests, a flow test should be carried out in order to verify the performance of the spacer grid like the coolant mixing performance and to obtain the Flow-Induced Vibration (FIV) characteristics of the rod bundle over the specified flow range. A vibration test should be also performed to obtain the modal parameters of the bundle prior to the flow test. In this study, we want to develop the estimation procedure of the damping ratio for the small scaled test bundle. For the damping factor of the rod bundle and the grid case at the first vibration mode, as one of the vibration tests, a so-called pluck testing has been performed in air as a preliminary test prior to in-flow damping measurement test. Logarithmic decrement method is used for calculation of the damping ratio. Estimated damping ratio of the rod bundle is about 0.7% with reasonable error of 2% for the previous results. Nonlinear behavior of the rod bundle might be stem mainly Iron the rod-grid support configuration.

• 한국지진공학회논문집
• /
• 제2권1호
• /
• pp.1-10
• /
• 1998

동적 지반-구조물해석과정에는 수많은 불확실성 요소가 내재되어 있다. 이러한 요소는 입력운동의 정의, 지반-구조물시스템의 모델작성, 해석기법 등에 포함된다. 이 논문은 점탄성 층상지반상의 원자로건물의 지진응답에 대한 매개변수해석을 수행한 결과를 제시한 것이다. 많은 매개변수 중에 입력운동의 정의위치, 구조물의 묻힘정도, 상부토층의 두께와 지반의 강성을 선택하여 지진응답에 미치는 영향을 중점적으로 이 연구에서 다루었다. 해석방법은 진동수에 무관한 지반임피던스를 사용하는 부분구조법인 시간영역에서의 모드중첩법이다. 지반-구조물시스템의 모드감쇠값은 각 모드에 대해 변형에너지에 대한 소멸에너지의 비를 구하여 결정되었다. 이 연구결과로부터 부분구조법에 의한 지반-구조물상호작용해석법의 실용적 이용에 참고할 수 있는 지진응답에 미치는 각 파라메터의 민감도가 제시되었다.

• 한국융합학회논문지
• /
• 제12권9호
• /
• pp.161-168
• /
• 2021

복합가공기 분야에서 고속 및 고정밀화에 대한 요구가 늘어남에 따라 복합가공기의 강성과 진동에 관한 관심이 증가하고 있다. 그러나 경험에 의존한 설계로 인해 개발 시간이 많이 소요되며 적절한 설계에도 어려움이 많아 공작기계 설계에 구조 최적화 FEM의 활용이 많아지고 있다. 그러나, 현재 구조물의 응력 분포를 통한 최적화를 주로 활용하고 있어 구조물의 진동 상태를 고려하여 최적화하기에는 어려움이 있다. 본 논문에서는 5축 복합가공기에서 가공에 가장 많은 영향을 끼치는 헤드 구조물의 최적화를 위하여 유한요소해석을 활용한 정적 구조해석, 모드 해석, 가진 주파수 해석을 진행하였으며, 도출된 응력 분포, 변형, 고유진동수, 가진 주파수 그래프를 활용하고 적절한 목적함수와 설계변수를 설정하여 정강성과 동강성을 모두 고려한 위상 최적화 해석 방법을 제시하고자 한다.

• Smart Structures and Systems
• /
• 제23권6호
• /
• pp.537-551
• /
• 2019

In this paper, a method for analyzing the damping performance of stay cables incorporating magnetorheological (MR) dampers in the passive control mode is developed taking into account the cable sag and inclination, the damper coefficient, stiffness and mass, and the stiffness of damper support. Both numerical and asymptotic solutions are obtained from complex modal analysis. With the asymptotic solution, analytical formulas that evaluate the equivalent damping ratio of the sagged cable-damper system in consideration of all the above parameters are derived. The main thrust of the present study is to develop an general design formula and a universal curve for the optimal design of MR dampers for adjustable passive control of sagged cables. Two sag-affecting coefficients are derived to reflect the effects of cable sag on the maximum attainable damping ratio and the optimal damper coefficient. For the cable configurations commonly used in cable-stayed bridges, the sag-affecting coefficients are directly expressed in terms of the sag-extensibility parameter to facilitate the control design. A case study on adjustable passive vibration control of the longest cable (536 m) on Stonecutters Bridge is carried out to demonstrate the influence of the sag for the damper design, and to figure out the necessity of adjustability of damper coefficients for achieving maximum damping ratio for different vibration modes.

• Structural Engineering and Mechanics
• /
• 제77권1호
• /
• pp.47-56
• /
• 2021

This paper deals with damage detection using a Gapped Smoothing Method (GSM) combined with deep learning. Convolutional Neural Network (CNN) is a model of deep learning. CNN has an input layer, an output layer, and a number of hidden layers that consist of convolutional layers. The input layer is a tensor with shape (number of images) × (image width) × (image height) × (image depth). An activation function is applied each time to this tensor passing through a hidden layer and the last layer is the fully connected layer. After the fully connected layer, the output layer, which is the final layer, is predicted by CNN. In this paper, a complete machine learning system is introduced. The training data was taken from a Finite Element (FE) model. The input images are the contour plots of curvature gapped smooth damage index. A free-free beam is used as a case study. In the first step, the FE model of the beam was used to generate data. The collected data were then divided into two parts, i.e. 70% for training and 30% for validation. In the second step, the proposed CNN was trained using training data and then validated using available data. Furthermore, a vibration experiment on steel damaged beam in free-free support condition was carried out in the laboratory to test the method. A total number of 15 accelerometers were set up to measure the mode shapes and calculate the curvature gapped smooth of the damaged beam. Two scenarios were introduced with different severities of the damage. The results showed that the trained CNN was successful in detecting the location as well as the severity of the damage in the experimental damaged beam.