Welding is one of representative manufacturing processes in the industrial field. Cryogenic storage containers are also manufactured through welding, and conversion to laser welding is issue in the field due to many advantages. Since welding causes thermal-elastic deformation, design considering distortion is required. Prediction of distortion through FEM is essential, but laser welding has difficulties in the field because there is no representative heat source model. The author presented the model that can cover various models using a multi-layer heat source model in previous studies. However the previous study has a limitation which is a welding heat source model must be derived after performing bead on plate welding. Thus this study was attempted to estimate the welding heat source parameters by comparing the shape of bead under various conditions. First, the difference between penetration shape and welding heat source parameters according to welding power was analyzed. The radius of the welding heat source increased according to the welding power, and the depth of the welding heat source also increased. The correlation between the penetration shape and the welding heat source parameter appears at a similar rate, however the follow-up research is necessary with more model data.

본 연구에서는 다자유도 시스템의 모달응답으로부터 모달특성과 동시에 외부하중을 추정하는 진동수 영역 기법을 제시한다. 가정된 모달특성에 기반하여 추정된 하중모델을 이론적으로 정립하고 이를 추정하중과 비교하여 모달특성과 하중모델 파라미터를 동 시에 식별하는 기법이다. 하중의 스펙트럼의 형상을 고려하여 모달특성을 추정한다는 점에서 외부하중을 백색잡음으로 가정하여 모달 특성을 추정하는 기존 모달식별법과 차별성을 가진다. 본 연구에서 제안된 동시추정기법의 검증을 위하여 단자유도 해석모델 응답에 적용되었다. 검증결과, 본 기법은 모달 파라미터 추정의 신뢰성이 높으며, 응답에 포함된 노이즈에 대한 면역성을 가지는 것으로 나타 났다. 하중 모델 차수에 대한 강인성을 가지며, 모델 파라미터를 안정적으로 산정할 수 있음을 알 수 있다. 향후 또한 본 기법은 와류 하중, 버핏팅하중과 같은 다양한 하중 조건에서 적용할 필요가 있다.

The estimation of heat source model is very important for heat transfer analysis with finite element method. Part I of this study used adaptive simulated annealing which is one of the global optimization algorithm for anticipating the parameters of the Goldak model. Although the analysis with 3D model which depicted the real situation produced the correct answer, that took too much time with moving heat source model based on Fortran and Abaqus. This research suggests the procedure which can reduce time with maintaining quality of analysis. The lead time with 2D model is reduced by 90% comparing that of 3D model, the temperature distribution is similar to each other. That is based on the saturation of heat transfer among the direction of heat source movement. Adaptive simulated annealing with 2D model can be used to estimate more proper heat source model and which could enhance to reduce the resources and time for experiments.

Anticipation of welding deformation with finite element method is a very interested topic in the industries, adequate heat source model is essential for concluding reasonable results. This study is related to estimate the parameters of Goldak heat source model, and global optimization algorithm is applied to this research. The heat affected zone (HAZ) boundary line of bead on plate (BOP) welding is used as the target, parameters of heat sources are used as the variables. Adaptive simulated annealing is applied and the optimal result is obtained out of 1,000 candidates. The convergence of finite element method and the global optimization is meaningful for estimation of welding deformation, which could enhance to reduce the resources and time for experiments.

The structural design of arch roofs or bridges requires the analysis of their unstable behaviors depending on certain parameters defined in the arch shape. Their maintenance should estimate the parameters from observed data. However, since the critical parameters exist in the equilibrium paths of the arch, and a small change in such the parameters causes a significant change in their behaviors. Thus, estimation to find the critical ones should be carried out using a global search algorithm. In this paper we study the parameter estimation for a shallow arch by a quantum-inspired evolution algorithm. A cost functional to estimate the system parameters included in the arch consists of the difference between the observed signal and the estimated signal of the arch system. The design variables are shape, external load and damping constant in the arch system. We provide theoretical and numerical examples for estimation of the parameters from both contaminated data and pure data.

In industrial facilities sites, the conventional method determining the earthquake magnitude (M) using earthquake ground-motion records is generally not applicable due to the poor quality of data. Therefore, a new methodology is proposed for determining the earthquake magnitude in real-time based on the amplitude measures of the ground-motion acceleration mostly from S-wave packets with the higher signal-to-ratios, given the Vs30 of the site. The amplitude measures include the bracketed cumulative parameters and peak ground acceleration (As). The cumulative parameter is either CAV (Cumulative Absolute Velocity) with 100 SPS (sampling per second) or BSPGA (Bracketed Summation of the PGAs) with 1 SPS. The arithmetic equations to determine the earthquake magnitude are derived from the CAV(BSPGA)-As-M relations. For the application to broad ranges of earthquake magnitude and distance, the multiple relations of CAV(BSPGA)-As-M are derived based on worldwide earthquake records and successfully used to determine the earthquake magnitude with a standard deviation of ±0.6M.

It was compared the estimated parameters by the surplus production from three different models, i.e., three types (Schaefer, Gulland, and Schnute) of the traditional surplus production models, a stock production model incorporating covariates (ASPIC) model and a maximum entropy (ME) model. We also evaluated the performance of models in the estimation of their parameters. The maximum sustainable yield (MSY) of small yellow croaker (Pseudosciaena polyactis) in Korean waters ranged from 35,061 metric tons (mt) by Gulland model to 44,844mt by ME model, and fishing effort at MSY (fMSY) ranged from 262,188hauls by Schnute model to 355,200hauls by ME model. The lowest root mean square error (RMSE) for small yellow croaker was obtained from the Gulland surplus production model, while the highest RMSE was from Schnute model. However, the highest coefficient of determination (R2) was from the ME model, but the ASPIC model yielded the lowest coefficient. On the other hand, the MSY of Kapenta (Limnothrissa miodon) ranged from 16,880 mt by ASPIC model to 25,373mt by ME model, and fMSY, from 94,580hauls by ASPIC model to 225,490hauls by Schnute model. In this case, both the lowest root mean square error (RMSE) and the highest coefficient of determination (R2) were obtained from the ME model, which showed relatively better fits of data to the model, indicating that the ME model is statistically more stable and robust than other models. Moreover, the ME model could provide additional ecologically useful parameters such as, biomass at MSY (BMSY), carrying capacity of the population (K), catchability coefficient (q) and the intrinsic rate of population growth (r).

Poisson model and Gamma-Poisson model are popularly used to analyze statistical behavior from defective data. The methods are based on binary criteria, that is, good or failure. However, manufacturing industries prefer polytomous criteria for classifying

Negative binomial yield model for semiconductor manufacturing consists of two parameters which are the average number of defects per die and the clustering parameter. Estimating the clustering parameter is quite complex because the parameter has not clear

애멸구는 1년에 5세대를 경과하는데, 제1회 성충은 4월 중순, 제2회 성충은 6월 중순, 제3회 성충은 7월 중순, 제4회 성충은 8월 중･하순, 제5회 성충은 9월 하순~10월 상순경에 발생하고, 제3회 성충 이후에는 세대가 약간 겹친다. 주로 4령 약충태로 휴반･보리밭･제방 등에서 월동한다(백 등 1963). 3월 중순부터 제1회 성충이 나타나기 시작하여 휴반에서 보리밭으로 이동하여 1세대를 경과하고, 제2회 성충은 묘판이나 본답으로 이동하며 이 시기에 줄무늬잎마름병을 매개한다(백 등 1963). 최근 온난화의 영향으로 이들 월동 세대의 밀도가 증가하여 국지적으로 줄무늬잎마름병이 대발생하여 문제가 되고 있다. 따라서 이들의 정밀한 Phenology 분석을 통하여, 정확한 발생예찰 및 지역별 계통의 특성을 파악하는 일이 매우 중요하다 여겨진다. 이들은 주로 4령약충기에 월동처로 이동하여 개밀 등에서 월동한 후에 이듬해 보리밭, 본답 등으로 이동하므로, 이들의 효과적인 관리대책을 마련하기 위하여, 먼저 온도별 약충의 발육기간을 조사하여 Lactin1, Lactin2, Briere1, Briere2, Logan, Taylor 등이 제시한 온도발육모델 함수에 적합시켜 보았으며, 각각의 파라미터 값을 구하였다. 모델의 정확성을 제시해 주는 r2 값은 Lactin2의 모형에서 가장 높은 r2 =0.97 정도가 나왔다. 마지막으로 이들 각 령기별 각각의 온도발육 모델에 대한 파라미터 값은 온도별 발육기간의 역수를 취하여 Table Curve Ver. 4.01에서 구하였다.

Mechanical systems using tendon-driven actuators have been widely used for bionic robot arms because not only the tendon based actuating system enables the design of robot arm to be very efficient, but also the system is very similar to the mechanism of the human body’s operation. The tendon-driven actuator, however, has a drawback caused by the friction force of the sheath. Controlling the system without considering the friction force between the sheath and the tendon could result in a failure to achieve the desired dynamic behaviors. In this study, a mathematical model was introduced to determine the friction force that is changed according to the geometrical pathway of the tendon-sheath, and the model parameters for the friction model were estimated by analyzing the data obtained from dedicated tests designed for evaluating the friction forces. Based on the results, it is possible to appropriately predict the friction force by using the information on the pathway of the tendon.

컨테이너 크레인의 수학적 모델 정확도는 모델 내부 파라미터 값의 정확도에 의해 결정되나, 기술적 혹은 환경적인 문제로 내부 파라미터의 정확한 값을 알지 못하는 경우가 발생하기도 한다. 이 경우에는 시스템의 입 출력 데이터에 근거하여 모델의 파라미터를 추정해야 하는데, 본 논문에서는 입 출력 데이터와 RCGA가 결합된 모델조정기법을 이용하여 모형 컨테이너 크레인 선형모델의 파라미터를 추정하는 방법을 보인다. 또한, 이렇게 추정한 모델에 또 다른 RCGA를 적용하여 제어에 필요한 이득행렬을 탐색한다. 제안하는 파라미터 추정법과 제어기법은 컨테이너 크레인의 모형실험장치에 적용하고, 실험을 실시하여 그 유효성을 검증한다.