• 한국유체기계학회 논문집
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• 제14권1호
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• pp.34-41
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• 2011

Fire characteristics can be analyzed more realistically by using more accurate properties related to the fire dynamics and one way to acquire these fire properties is to use one of the inverse property estimation techniques. In this study two optimization algorithms which are frequently applied for the inverse heat transfer problems are selected to demonstrate the procedure of obtaining pyrolysis properties of charring material with relatively simple thermal decomposition. Thermal decomposition is occurred at the surface of the charring material heated by receiving the radiative energy from external heat sources and in this process the heat transfer through the charring material is simplified by an unsteady 1-dimensional problem. The basic genetic algorithm(GA) and repulsive particle swarm optimization(RPSO) algorithm are used to find the eight properties of a charring material; thermal conductivity(virgin, char), specific heat(virgin, char), char density, heat of pyrolysis, pre-exponential factor and activation energy by using the surface temperature and mass loss rate history data which are obtained from the calculated experiments. Results show that the RPSO algorithm has better performance in estimating the eight pyrolysis properties than the basic GA for problems considered in this study.

• 대한기계학회논문집A
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• 제33권11호
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• pp.1202-1208
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• 2009

An inverse finite element (FE) model parameter estimation algorithm can be used to characterize mechanical properties of biological tissues. Using this algorithm, we can consider the influence of material nonlinearity, contact mechanics, complex boundary conditions, and geometrical constraints in the modeling. In this study, biomechanical experiments on macro and micro samples are conducted and characterized with the developed algorithm. Macro scale experiments were performed to measure the force response of porcine livers against mechanical loadings using one-dimensional indentation device. The force response of the human liver cancer cells was also measured by the atomic force microscope (AFM). The mechanical behavior of porcine livers (macro) and human liver cancer cells (micro) were characterized with the algorithm via hyperelastic and linear viscoelastic models. The developed models are suitable for computing accurate reaction force on tools and deformation of biomechanical tissues.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2000년도 춘계학술대회 논문집 유기절연재료 방전 플라즈마
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• pp.46-49
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• 2000

This paper studied development of the program for estimation the life time of insullating materials and the longtime breakdown voltage. First, short-time breakdown voltage of Epoxy and insulating oil was measured. Life exponent was gained from measurement of insulating breakdown time of the specimens. Life time is presumed from program. The estimation program is based on the "Inverse Power Law", defined $V^nt$ is constant. After gaining the life exponent n, it is mapping the longtime breakdown voltages. On the base of life exponent, the estimation the lifetime and usefulness of the insulation systems are possible, furthermore easy calculation is possible.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2000년도 하계학술대회 논문집
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• pp.699-702
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• 2000

Today, electrical machine is being large capacitor and EHV(Extra High Voltage) of power equipment is a need of high reliability of insulating matetials. Therefore, it is a need of fixed appraisement of lifetime to used data of breakdown. This paper studied a development of the program for estimation the lifetime of insullating materials and the long-time breakdown voltage by experimentation. The estimation program is based on the "Inverse Power Law", defined V$\^$n/t is constant. After gaining the life exponent n, it is mapping the long-time breakdown voltages. On the base of life exponent, the estimation of lifetime and usefulness of the insulation systems are possible, furthermore easy calculation is possible.

• 한국화재소방학회논문지
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• 제24권2호
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• pp.106-113
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• 2010

화재특성을 보다 현실감 있게 분석하기 위해서는 관련된 화재 역학의 정확한 물성 정보를 필요로 하게 되며, 이러한 화재물성을 획득하는 하나의 방법으로서 역물성 분석이 고려될 수 있다. 본 연구에서는 역물성 해석의 한가지 방법으로서 역열전달 해석 등에 많이 응용되고 있는 유전 알고리즘을 이용하였다. 고체 형태의 화재 물질로서 비교적 단순한 반응 특성을 나타내는 탄화물이 외부로부터 열을 받아 열분해되는 과정을 비정상 상태의 일차원문제로 간략화하여 해석하였으며, 이 과정에서 관계되는 반응역학의 물성을 추정하기 위하여 유전 알고리즘을 이용하였다. 이러한 역물성 분석의 입력 자료로서는 주어진 물성값을 이용하여 1차원 비정상 문제의 해석 결과인 탄화물의 열분해 표면 온도와 질량소모율 등이 되며, 이들 입력 자료에 해당하는 8개의 화재 물성치를 추정하여 보았다. 추정된 8개의 물성치 중 최대, 최소 상대오차는 각각 151%(탄화물의 비열), 1.81%(탄화 전 초기재료의 비열)이며, 추정된 8개의 화재 물성치를 입력하여 계산한 표면 온도와 질량소모율의 가상실험값에 대한 평균 상대오차는 각각 0.99773%, 3.087802%로 비교적 정확한 값을 추정한 것으로 나타났다.

• 대한의용생체공학회:의공학회지
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• 제18권3호
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• pp.211-216
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• 1997

An inverse method with regularization has been developed to determine the viscoelastic properties of trabecular bone. A series of stress relaxation experiments were performed under the condition of uniaxial compression stress state. Optimization has been formulated within the framework of nonlinear least-squares and a modified Gauss-Newton method with a zeroth-order regularization technique. The stress relaxation behavior of trabecular bone was analyzed using a standard viscoelastic model. The present study clearly shows that trabecular bone exhibits typical viscoelastic stress relaxation behavior, and the obtained material parameters well represent the viscoelastic behavior of trabecular bone.

• 한국자동차공학회논문집
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• 제12권1호
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• pp.106-113
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• 2004

Most of mechanical structures are composed of many substructures connected to one another by various types of mechanical joints. In automotive engineering, it is important to study these connected structures under various dynamic forces for the evaluations of fatigue life and stress concentration exactly. In this study, the dynamic response of vehicle structure to external forces is classified an inverse problem involving strains from the experiment and the analysis. The practical dynamic forces are determined by the combination of the analytical and experimental method with analyzed strain by quasi-static finite element analysis under unit force and with measured strain by a strain gage under driving load, respectively. In a stressed body, inter-molecular chemical bonds are failed beyond the certain magnitude. The failure of molecular structure in material is considered as a time process of which rate is determined by mechanical stress. That is, the failure of inter-molecular chemical bonds is the fatigue lift of material. This kinetic concept is expressed as lethargy coefficient. And S-N curve is obtained with the lethargy coefficient from quasi-static tensile test. Equivalent practical dynamic force is obtained from the identification of practical dynamic force for one loading point. Using the practical dynamic force and S-N curve, fatigue life of a window pillar is analyzed with FEM under the identified force by the procedure of above mentioned.

• 한국전산구조공학회논문집
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• 제24권1호
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• pp.97-106
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• 2011

본 연구에서는 전자패키지에 사용되는 솔더 재료의 점소성 물성치를 규명하였다. 이를 위해 전자패키지와 비슷한 변형을 보이는 시편을 제작하였고 모아레 간섭계를 이용하여 열사이클 하에서의 변형을 측정한 뒤 시편의 굽힘 변위와 솔더의 전단 변형률을 구하였다. 시편에 대해 점소성 유한요소해석을 실시하였고 해석 결과가 실험 결과에 일치하도록 물성치를 역으로 추정하였다. 실험에서 발생한 측정오차와 실험횟수 부족 등의 불확실성을 고려하기 위해 컴퓨터 모델 교정법을 이용하였고, 그 결과 추정된 물성치는 평균 및 신뢰구간으로 표현되었으며, 이로 인한 유한요소해석 결과도 마찬가지로 평균 및 신뢰구간으로 표현되었다.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2007년도 정기 학술대회 논문집
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• pp.49-54
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• 2007

Structural integrity assessment technique for pavement system is studied considering the uncertainties among the material properties. The artificial neural networks technique is applied for the inverse analysis to estimate the elastic modulus based on the measured deflections from the FWD test. A computer code based on the spectral element method was developed for the accurate and fast analysis of the multi-layered soil structures, and the developed program was used for generating the training and testing patterns for the neural network. Neural networks was applied to estimate the elastic modulus of pavement system using the maximum deflections with and without the uncertainties in the material properties. It was found that the estimation results by the conventiona1 neural networks were very poor when there exist the uncertainties and the estimation results could be significantly improved by adopting the proposed method for generating training patterns considering the uncertainties among material properties.

• 대한기계학회논문집
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• 제14권6호
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• pp.1679-1688
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• 1990

본 연구에서는 역산법으로 열확산계수를 추정하기 위하여 비선형 매개변수 추 정법을 사용하며, 실험데이터의 통계적 처리방법, 추정이론을 정리하여 이 추정법에 적합한 알고리즘을 만들었다. 수정된 Gauss법을 컴퓨터에 사용할 수 있도록 프로그 램을 개발하였으며, 이 방법의 정확성을 증명하기 위하여 일정열유법과 동일한 실험장 치를 사용하되 경계조건이나 초기조건을 시간의 변화에 따라 이산적으로 측정하여, 매 개변수인 열확산계수를 온도의 함수로 찾고자 하였으며, 통계적인 개념보다는 역산적 인 면에 더 치중하였다.