Earticle

인공위성에 대한 구조해석을 수행하기 위해서는 인공위성의 모든 기계적 특성이 반영된 유한요소모델을 필요로 한다. 인공위성의 개발특성상 여러 부품들은 서로 다른 회사에서 제작이 되며, 해당 유한요소모델의 제공이 불가능한 경우가 종종 발생하게 된다. 이러한 경우에 초요소 기법을 이용하면 쉽게 해결할 수 있다. 현재 개발중인 위성의 경우, 안테나 업체에서 안테나 기동시 발생하는 미소진동의 양을 계산하고자 인공위성 전체의 유한요소모델을 필요로 하였다. 이 때, 초요소 기법을 이용하여 축약된 모델을 제공할 수 있었다. 초요소기법은 Craig-Bampton 방법을 이용하여 유한요소모델을 동적축약하는 기법이며 본 논문에서는 인공위성 유한요소모델에 이를 적용하였다. 동적축약이 잘 이루어졌는지를 확인하기 위하여 전체 유한요소모델과, 축약모델의 모드해석 결과와 주파수 응답해석 결과를 비교하였으며, 두 결과가 매우 잘 맞는다는 것을 확인할 수 있었다. 이로부터 본 해석 방법의 유용성을 확인할 수 있었다.

In order to perform the satellite structural analysis, FE-Model(Finite Element Model) considering all mechanical properties is necessary. Generally, different companies develop several satellite components, and sometimes it is very difficult to obtain FE-Model. In this case, FE-Model reduction using superelement method can be good solution. For developing satellite, antenna manufacturer required satellite FE-Model to calculate microvibration induced by antenna operation, and condensed model using superelement method was provided. Superelement method is based on Craig-Bampton method, and it is applied to spacecraft FE-Model reduction in this paper. From modal analysis and the frequency response analysis results between full FE-Model and condensed model, the usefulness of reduced model is confirmed.

시스템 식별기법은 구조물의 계측응답을 이용하여 현재 상태를 정량적으로 평가하기 위한 기술로써, 구조해석, 내진 및 내풍성능 평가, 진동제어 등 다양한 분야에 적용되고 있다. 특히, 구조해석분야에서는 모드특성 이외에 구조물의 질량, 감쇠 및 강성계수 등 물리적인 의미를 갖는 변수들을 직접 추정할 필요가 있다. 본 연구에서는 구조물의 계측된 진동수 응답함수를 이용하여 동적해석모델을 구성하는 요소들인 질량, 감쇠 및 강성계수를 직접 추정하는 기법을 제안하였다. 이러한 계수들을 시스템식별 변수로 하는 동적해석모델을 구성하고 이로부터 유도된 진동수 응답함수와 계측된 진동수 응답함수의 크기와 위상에 대한 오차의 제곱을 성능지수로 정의하고, 이를 최소화시킴으로써 질량, 감쇠 및 강성계수를 추정하였다. 구조물의 거동을 정확히 묘사할 수 있는 동적해석모델이 구성되면, 질량, 감쇠 및 강성계수를 정확히 추정할 수 있다는 것을 수치시뮬레이션으로 검증하였으며, 구조물의 모드특성은 식별된 동적해석모델로부터 계산된다.

System identification technique has been applied to various fields of structural analysis, evaluation for seismic- and wind-resistant performance of structures and structural control, with which current state of a structure is quantitatively evaluated by using measured structural responses. Especially, in addition to modal properties of a structure, variables including physical meaning such as mass, damping and stiffness coefficients are required to be estimated directly in structural analysis. This paper proposes the system identification technique, with which mass, damping and stiffness coefficients of a dynamic analytical model are estimated by using measured frequency response function of a structure. The square of error for amplitude and phase between two transfer functions was defined as performance index for minimization. One is the transfer function measured from structural dynamic test, and the other is that derived from a dynamic analytical model with mass, damping and stiffness coefficients, which are defined as variables for identification. It was verified from numerical simulation that mass, damping and stiffness coefficients can be estimated precisely, if only a structure is modelled exactly for its behavior. Structural modal properties were calculated from the identified dynamic analytical model.

In this paper, a structural damage identification method (SDIM) is developed for cylindrical shells and the numerically simulated damage identification tests are conducted to study the feasibility of the proposed SDIM. The SDIM is derived from the frequency response function solved from the structural dynamic equations of damaged cylindrical shells. A damage distribution function is used to represent the distribution and magnitudes of the local damages within a cylindrical shell. In contrast with most existing modal parameters-based SDIMs which require the modal parameters measured in both intact and damaged states, the present SDIM requires only the FRF-data measured in the damaged state. By virtue of utilizing FRF-data, one is able to make the inverse problem of damage identification well-posed by choosing as many sets of excitation frequency and FRF measurement point as needed to obtain a sufficient number of equations.

One of the suitable structural damage detection methods using vibrational characteristics are damage-index-based methods. In this study, a damage index for identifying damages in plate structures using frequency response function (FRF) data has been provided. One of the significant challenges of identifying the damages in plate structures is high number of degrees of freedom resulting in decreased damage identifying accuracy. On the other hand, FRF data are of high volume and this dramatically decreases the computing speed and increases the memory necessary to store the data, which makes the use of this method difficult. In this study, FRF data are compressed using two-dimensional principal component analysis (2D-PCA), and then converted into damage index vectors. The damage indices, each of which represents a specific condition of intact or damaged structures are stored in a database. After computing damage index of structure with unknown damage and using algorithm of lookup tables, the structural damage including the severity and location of the damage will be identified. In this study, damage detection accuracy using the proposed damage index in square-shaped structural plates with dimensions of 3, 7 and 10 meters and with boundary conditions of four simply supported edges (4S), three clamped edges (3C), and four clamped edges (4C) under various single and multiple-element damage scenarios have been studied. Furthermore, in order to model uncertainties of measurement, insensitivity of this method to noises in the data measured by applying values of 5, 10, 15 and 20 percent of normal Gaussian noise to FRF values is discussed.

In this study, an efficient damage index is proposed to identify multiple damage cases in structural systems using the concepts of frequency response function (FRF) matrix and strain energy of a structure. The index is defined based on the change of strain energy of an element due to damage. For obtaining the strain energy stored in elements, the columnar coefficients of the FRF matrix is used. The new indicator is named here as frequency response function strain energy based index (FRFSEBI). In order to assess the performance of the proposed index for structural damage detection, some benchmark structures having a number of damage scenarios are considered. Numerical results demonstrate that the proposed index even with considering noise can accurately identify the actual location and approximate severity of the damage. In order to demonstrate the high efficiency of the proposed damage index, its performance is also compared with that of the flexibility strain energy based index (FSEBI) provided in the literature.

A spectral element model-based structural damage identification method (SDIM) was derived in the previous study by using the damage-induced changes in frequency response functions. However the previous SDIM often provides poor damage identification results because the nonlinear effect of damage magnitude was not taken into account. Thus, this paper improves the previous SDIM by taking into account the nonlinear effect of damage magnitude. Accordingly an iterative solution method is used in this study to solve the nonlinear matrix equation for local damages distribution. The present SDIM is evaluated through the numerically simulated damage identification tests.

모우드 밀도의 산정을 정확하게 구하기 위해 고주파수 영역에서 흔히 적용되는 3채널 측정법이 저주파수대 영역에서도 2채널법에 의한 방법보다 주파수 응답함수의 크기 및 공전주파수의 위치를 보다 더 잘 나타내 주고 있다는 것을 실험적으로 제시하였다. 2채널 측정법에 비하여 3채널 측정법이 모우드 밀도가 균일한 보의 경우에 있어서도 주파수 응답함수의 크기를 실제의 경우와 근접하게 추정해 줄 수 있을 뿐 아니라, 상대적으로 모우드 밀도가 높은 평판의 경우에 있어서도 공진주파수 대에서의 주파수 응답함수의 형태를 보다 분명히 나타내어 줄 수 있는 것으로 나타났다. 한편, 구조물과 가진기의 상호작용에 의한 고유진동수의 변동량 측정의 관점에서는 2채널 측정법과 3채널 측정법의 경우 모두 주파수 응답함수를 적절히 나타내어 주고 있는 것으로 나타났다.

To verify the Finite Element Method(FEM) model of an Exhaust System, Frequency Response Function(FRF) is utilized. Up to now, generally, comparisons of natural frequencies and mode shapes of the Exhaust System between numerical analysis and experimental results are adopted to prove completion of the FEM model. However, the comparisons of natural frequencies and mode shapes are not sufficient to have the perfect FEM model of the Exhaust system. Instead of these comparisons. FRF method is introduced for the more accurate FEM model.

Speed-up and mass reduction of railway vehicle usually causes increased of the interior noise. One of the best ways to control the interior noise is to identify the noise level radiated from each of parts in the cabin. In this paper, we describe the method to estimate the interior noise nad evaluate the noise contribution to each of parts. This method is based that the sound pressure can be calculated by using the frequency response function and acceleration. According to analysis of the noise contribution, we validated that the noise radiated from the floor is the higher in the cabin. We also measured the noise distribution for the side and floor by using the microphone array in order to analyze the effect of the noise flowing into the cabin from the outdoors. Finally, we presented the plan of the interior noise reduction based on the noise levels radiated from each of parts.

A rotordynamic system consists of components that undergo rotational motion. These components include shafts, impellers, thrust collars, and components that support rotation, such as bearings and seals. The motion of this type of rotating system can be modeled as two-dimensional motion and, accordingly, the equation of motion for the rotordynamic system can be represented using complex coordinates. The directional frequency response function (dFRF) can be derived from this complex coordinate system and used as an effective analytical tool for rotating machinery. However, the dFRF is not widely used in the field because most previous studies and commercial software are based on real coordinate systems. The objective of the current study is to introduce the dFRF and show that it can be an effective tool in rotordynamic analysis. In this study, the normal frequency response function (nFRF) and dFRF are compared under rotordynamic analysis for isotropic and unisotropic rotors. Results show that in the nFRF, the magnitude of the response is the same for both positive and negative frequencies, and the response is similar under all modes. Consequently, the severity of the mode cannot be identified. However, in the dFRF, the forward and backward modes are clearly distinguishable in the frequency domain of the isotropic rotor, and the severity of the mode can be identified for the unisotropic rotor.

KTX Railway rolling stock wheel run its course to corrode, deteriorate and wear away through out the time. So it is natural that the performance and ability of wheel gets declined. The frequency characteristic analysis were accomplished to above trend and shock wave flow to wheels were examined. The result will be used to find Railway rolling stock wheel crack and maintenance method hereafter.

주파수 응답함수를 직접 이용하는 응답함수 방법을 이용하여 8자유도계, 보, 그리고 보구조물의 모의실험과 실험을 통해 다음과 같은 결론을 얻었다. 첫째, 잡음이 혼입된 경우도 데이타를 취하는 주파수 점의 개수를 늘려줌으로써 정확한 결과를 얻는 것이 가능하다. 둘째, 실제 보에 대해서 유한요소모델의 개선을 행하여 실험과 일치하는 결과를 얻을 수 있다. 세째, 볼트로 체결된 보구조물에 대해 유한요소모델의 개선을 통한 결합부의 동정을 통해 실험과 더 잘 일치하는 유한요소모델을 얻을 수 있다.

Porcelain insulators have been used mainly for power line fixing and electrical insulation in transmission towers. Porcelain insulators have generally a 30 years desired life, but over 50% exceed their life expectancy. Since the damage to porcelain insulators is usually accompanied by enormous loss of human resource material, their efficient maintenance has emerged as an important issue. In this regard, this study applied a frequency response function (FRF) for integrity assessment of the insulator. The characteristics of the FRF according to damage types were identified and analyzed by the change in natural frequencies, curve shape, attenuation, and Nyquist diagram stability. The results showed significant differences in the FRF according to damage types, which can be used as basic data for the effective integrity assessment of porcelain insulators.

The spectrum of impulse response signal which is obtained from an impulse hammer testing is used for frequency response function, nevertheless it has serious faults when the record length for the signal processing is not very long. The faults cannot be avoided with the conventional signal analyzer that is processing all the signals as if they are always periodic. The signals generated by the impact hammer are undoubtedly non-periodic because of the damping, and are acquired for limited recording time due to the memory as well as the computation performance of the signal analyzer. This paper will make clear the relation between the faults and the length of recording time, and propose the way for solving the faults.

Despite of the development in the finite element method, it is difficult to get the finite element model describing the dynamic characteristics of the complex structure exactly. Therefore a number of different methods have been developed in order to update the finite element model of a structure using vibration test data. This paper outlines the basic formulation for the frequency response function based updating method. One important advantage of this method is that the intermediate step of performing an eigensolution extraction is unnecessary. Using simulated experimental data, studies are conducted in the case of 10 DOF discrete system. The solution of noisy and incomplete experimental data is discussed. True measured frequency response function data are used for updating the finite element model of a beam and a plate. Its applicability to the joint identification is also considered.

The dynamic behavior of a complex mechanical structure can be identified by dividing the structure into a series of smaller structure, called sub- structure and by studying the dynamic characteristics of these components. Generally, the dynamic characteristics of mechanical structure are strongly affected by the properties of joint parameters. In this paper, to identify the dynamic characteristics of mechanical structure, and experimental identification method in which directrly measured frequency response function(FRF) is used is considered. The method does not use the procedure of complex matrix calculation but use that of real matrix calculation. To confirm this method, computer simulation is performed by using frequency response function mixed with noise, and the experimental study is performed about the simple structure. The dynamic characteristics of joint parameters and identified more accurately than in using the prcedure of complex matrix calculation.

TFT LCD 생산 공정에 사용되는 정밀측정/검사/생산장비가 위치하는 바닥의 진동문제는 크게 장비자체의 가동에 의한 것과 장비외부의 가진원에 의해서 정밀장비의 바닥에 진동이 발생하게 된다. 이러한 진동문제는 건물을 설계 시공하는 건축자의 입장에서는 장비 가동전 건물 인수시 진동문제에 관심이 있으나 장비를 운영하는 사용자의 입장에서는 장비 가동전의 진동문제와 더불어 장비 가동시 장비내부의 진동원에 대해서도 진동대책을 요구하게 된다. 따라서 양자의 진동문제 해결을 위해서는 정밀장비 주변의 진동원에 대한 동하중 설계자료와 함께 장비 가동시 바닥에 진동을 발생시키는 진동원인 장비에 대해서 동하중을 파악하여야 한다. 장비기초의 단위하중에 대한 진동응답을 표현하는 주파수 전달함수는 이러한 동하중과 바닥의 진동허용규제치를 동시에 표현하는 요소로 기존의 정밀장비가 요구하는 장비바닥의 진동허용규제치와 함께 동하중을 유발하는 장비기초에서는 반드시 구조물의 동강성 허용규제치를 이용한 구조물의 동적설계가 요구된다.

In this paper, the vibration of high speed trains and the irregularity of railway are examined using a wavelet-based frequency response function. To investigate their characteristics, non-stationary acceleration data are acquired and processed using the wavelet transform. Also, the railway irregularity is examined by acquiring the data from the on-board laser-based measurement system. The correlation between the train vibration and the railway irregularity has been investigated. From the analysis, the wavelet-based frequency response function is a promised method for the dynamic characteristics of high speed trains.