• 한국전산구조공학회논문집
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• 제15권1호
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• pp.127-136
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• 2002

본 논문은 교량 구조물의 손상위치 및 손상정도를 평가하기 위해 제한된 모드형상을 사용한 손상지수 방법에 기초한 실용적이며 개선된 손상평가 알고리즘을 제안한다. 손상평가 알고리즘에서 손상전 ·후의 구조물로부터 획득한 모드 벡터의 민감도 비에 근거한 손상지수를 사용하여 손상위치의 파악 및 손상정도를 평가한다. 그러나 모드형상의 진폭이 거의 영의 값을 가지는 요소에 손상이 존재하면 모드벡터 민감도 비는 무한대의 값을 가지게 되며, 이는 손상평가를 불가능하게 한다. 따라서 본 논문에서는 구조물의 모드형상과 비례하는 민감도 필터를 도입한 개선된 기법을 적용함으로써, 이러한 문제점을 극복하였으며 또한 기존의 방법보다 손상위치와 손상정도 평가에 있어 상당한 정확도의 향상을 구현하였다. 제안된 알고리즘을 검증하기 위해 단순보와 2경간 연속보에 대해 손상평가를 수행하였으며, 기존의 방법에 의한 결과와 비교하였다.

• 대한의용생체공학회:의공학회지
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• 제26권3호
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• pp.139-144
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• 2005

An implantable microphone that can be utilized as part of a totally implantable hearing aid is designed and implemented. The proposed microphone is implanted in the center of the pinna, and designed to ensure the speech frequency range and the appropriate sensitivity. The characteristics of the proposed microphone are evaluated using a finite element analysis (FEA). The microphone is composed of a small electric condenser microphone, titanium case 6.2mm in diameter and 3mm high, and $10{\mu}m$ SUS316L vibrating membrane in contact with hypodermic tissue to maintain the sensitivity of the microphone. The microphone components are all made of biocompatible materials, then the assembled microphone is hermetically sealed using a polymer and ceramic. Experiments with the fabricated microphone confirm an operational bandwidth of up to 5kHz without any decline of sensitivity in 6mm of hypodermic tissue.

• 한국재료학회지
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• 제3권5호
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• pp.505-513
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• 1993

본 연구는 가시부 전영역에 감광하는 전자사진용 감광체를 만들기 위하여 400nm부근에 흡수파장을 갖는 sunfast yellow와 700nm부근에 흡수파장을 갖는 $\alpha$,$\beta$-copperphthalocyanine의 색소를 산화아연(ZnO)에 흡착분산시켰다. 각종 결합제(Binder)의 감도와 , 산화아연과 결합제와의 조성비에 따르는 변화실험의 결과 5.5:1에서 가장 좋은 결과를 나타냈다. 전자사진 감광체의 적합성을 확인하기 위하여 정전특성과 분광감도를 측정해 본 결과 sunfast yellow와 $\beta$-copper phthalocyanine을 혼합사용한 것이 가장 좋은 감도를 나타냈으며, 이 때 측정된 전자시진감도는 $E_{1:2}$=1440 luxㆍsec이었다. 또한 분광감도 측정결과는 가시부전역에 걸쳐 감도를 감광체임을 확인하였다.

• 한국산업융합학회 논문집
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• 제26권6_3호
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• pp.1279-1288
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• 2023

Recently, domestic leisure boats have been actively researching eco-friendly product development to enter the global market. Since the hulls of existing leisure boats are mainly made of fiber reinforced plastic (FRP) or aluminum, design techniques for securing structural safety by applying related materials have been mainly studied. In this study, an initial structural design safety assessment of a trimaran pontoon leisure boat with a modular hull structure and eco-friendly high-density polyethylene (HDPE) material was conducted, and sensitivity evaluation and optimization analysis for lightweight design were performed. The initial structural design safety assessment was carried out by creating a finite element analysis model and applying the loading conditions specified in the ship classification regulation to check whether the specified allowable stresses are satisfied. For the sensitivity evaluation, the influence of stress and weight of each hull structural member was evaluated using the orthogonal array design of experiments method, and an approximate model based on the response surface method was generated using the results of the design of experiments. The optimization analysis set the thickness of the hull structural members as the design variable and considered the optimal design formulation to minimize the weight while satisfying the allowable stress. The algorithm of the optimization analysis applied the Gradient-population Based Optimizer (GBO) to improve the accuracy of the optimal solution convergence while reducing the numerical cost. Through this study, the optimal design of a newly developed eco-friendly trimaran pontoon leisure boat with a weight reduction of 10% was presented.

• 한국생산제조학회지
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• 제22권5호
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• pp.859-864
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• 2013

Creation of a stress relief groove is a fairly simple yet high-performance method. During the application of this method, it is important to consider the location and size of the groove in order to achieve better performance. Consequently, this research proposes an approach for optimizing the application of the stress relief groove method to a press-fitted assembly. In a boss design, the position and diameter of the groove are configured as design variables and the design of experiments is applied. Based on this information, a 3D model is built and analyzed using the finite element analysis software ABAQUS. Meta-models are created using back-propagation neural networks. Then, deterministic optimization results obtained from a genetic algorithm are compared with the results of the finite element analysis. The temperature sensitivity of the optimized model is analyzed, and finally, reliability-based design optimization is conducted for enhancing the design quality.

• 한국결정성장학회지
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• 제15권1호
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• pp.21-26
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• 2005

세라믹 분말 가압 성형 공정을 전산모사 하고 패킹의 임의성과 입자 배열의 효과를 평가하기 위해서 유사한 임의 다중 입자 배열을 사용하여 2차원 막대 배열 가압 성형 모델을 도입하였다. 3개의 Al₂O₃ 입자와 3개의 Al 입자를 가지고 기공과 관련된 가압 성형 공정을 균질화 탄성계수를 사용하여 외연적 유한요소 해석하였다. 해석 결과는 이전 해석 결과 및 실험 결과와 비교하였다. 마지막으로, 분말 입자의 마찰계수와 상대밀도의 관계를 얻기 위한 해석이 수행되었다.

• Structural Monitoring and Maintenance
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• 제3권4호
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• pp.377-393
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• 2016

The present work develops an expert system for detecting and predicting the crude oil types and properties at normal temperature ${\theta}=25^{\circ}C$, by evaluating the dielectric properties of the fluid transfused inside glass fiber reinforced epoxy (GFRE) composite pipelines, by using electrical capacitance sensor (ECS) technique, then used the data measurements from ECS to predict the types of the other crude oil transfused inside the pipeline, by designing an efficient artificial neural network (ANN) architecture. The variation in the dielectric signatures are employed to design an electrical capacitance sensor (ECS) with high sensitivity to detect such problem. ECS consists of 12 electrodes mounted on the outer surface of the pipe. A finite element (FE) simulation model is developed to measure the capacitance values and node potential distribution of ECS electrodes by ANSYS and MATLAB, which are combined to simulate sensor characteristic. Radial Basis neural network (RBNN), structure is applied, trained and tested to predict the finite element (FE) results of crude oil types transfused inside (GFRE) pipe under room temperature using MATLAB neural network toolbox. The FE results are in excellent agreement with an RBNN results, thus validating the accuracy and reliability of the proposed technique.

• Steel and Composite Structures
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• 제19권1호
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• pp.191-208
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• 2015

The sensitivity-based finite element model updating method has received increasing attention in damage detection of structures based on measured modal parameters. Finding an optimization technique with high efficiency and fast convergence is one of the key issues for model updating-based damage detection. A new simple and computationally efficient optimization algorithm is proposed and applied to damage detection by using finite element model updating. The proposed method combines the Gauss-Newton method with region truncation of each iterative step, in which not only the constraints are introduced instead of penalty functions, but also the searching steps are restricted in a controlled region. The developed algorithm is illustrated by a numerically simulated 25-bar truss structure, and the results have been compared and verified with those obtained from the trust region method. In order to investigate the reliability of the proposed method in damage detection of structures, the influence of the uncertainties coming from measured modal parameters on the statistical characteristics of detection result is investigated by Monte-Carlo simulation, and the probability of damage detection is estimated using the probabilistic method.

• 대한전기학회논문지:전기물성ㆍ응용부문C
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• 제49권4호
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• pp.249-257
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• 2000

In this paper, we propose the use of stochastic finite element method, that is popularly employed in mechanical structure analysis, for more practical designing purpose of RF device. The proposed method is formulated based on the vector finite element method cooperated by pertubation analysis. The method utilizes sensitivity analysis algorithm with covariance matrix of the random variables that represent for uncertain physical quantities such as length or various electrical constants to compute the probabilities of the measure of performance of the structure. For this computation one need to know the variance and covariance of the random variables that might be determined by practical experiences. The presenting algorithm has been verified by analyzing several device with different be determined by practical experiences. The presenting algorithm has been verified by analysis several device with different measure of performanes. For the convenience of formulation, two dimensional analysis has been performed to apply it into waveguide with dielectric slab. In the problem the dielectric constant of the dielectric slab is considered as random variable. Another example is matched waveguide and cavity problem. In the problem, the dimension of them are assumed to be as random variables and the expectations and variances of quality factor have been computed.

• 대한기계학회논문집A
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• 제22권2호
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• pp.458-466
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• 1998

In this work, a frequency domain method is tested numerically and experimentally to improve nonlinear model parameters using the frequency response function at the nonlinear element connected point of structure. This method extends the force-state mapping technique, which fits the nonlinear element forces with time domain response data, into frequency domain manipulations. The force-state mapping method in the time domain has limitations when applying to complex real structures because it needd a time domain lumped parameter model. On the other hand, the frequency domain method is relatively easily applicable to a complex real structure having nonlinear elements since it uses the frequency response function of each substurcture. Since this mehtod is performed in frequency domain, the number of equations required to identify the unknown parameters can be easily increased as many as it needed, just by not only varying excitation amplitude bot also selecting excitation frequency domain method has some advantages over the classical force-state mapping technique in the number of data points needed in curve fit and the sensitivity to response noise.