• Advances in aircraft and spacecraft science
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• 제10권1호
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• pp.83-106
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• 2023

In this work, the static behavior of FGM macro and nano-plates under thermomechanical loading. Equilibrium equations are determined by using virtual work principle and local and non-local theory. The novelty of the current model is using a new displacement field with four variables and a warping function considering the effect of shear. Through this analysis, the considered sandwich FGM macro and nanoplates are a homogeneous core and P-FGM faces, homogeneous faces and an E-FGM core and finally P-FGM faces and an E-FGM core. The analytical solution is obtained by using Navier method. The model is verified with previous published works by other models and very close results are obtained within maximum 1% deviation. The numerical results are performed to present the influence of the various parameters such as, geometric ratios, material index as well as the scale parameters are investigated. The present model can be applicable for sandwich FG plates used in nuclear, aero-space, marine, civil and mechanical applications.

• 정보처리학회논문지A
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• 제11A권5호
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• pp.319-324
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• 2004

자바 언어는 빠른 속도로 인터넷 및 분산 응용 분야 등에서 활용되고 있으며 단순히 응용 소프트웨어를 개발할 수 있는 프로그래밍 언어이상으로 활용 범위가 확대되고 있다. 특히, 실행 환경인 자바 가상 기계에 연관되어 다양한 연구가 진행되고 있으며 자바 클래스 파일에 대한 분석 및 응용 분야에 적합한 형태로 정보를 활용할 수 있는 다양한 시도가 진행되고 있다. 자바 언어에 대한 클래스 파일은 소스 프로그램의 의미를 자바 가상 기계에서 실행 가능한 형식으로 변환된 형태이다. 이러한 클래스 파일의 구조 및 실질적인 실행 과정에 대한 분석은 디컴파일러 구성, 소스 프로그램의 디버깅 등에 편리성을 지원할 수 있다. 본 논문에서는 이러한 클래스 파일에 대한 분석을 비롯하여 실제로 실행되는 과정을 보다 시각적으로 표현하기 위한 실행 분석기 개발에 관한 연구이다 이를 위해 클래스 파일의 내용을 GUI 환경에서와 같이 접근 및 표현이 용이하도록 구현하였다. 클래스 파일이 포함하고 있는 정보들을 Constant_Pool 부분, Class_file 부분, Interface 부분, Field 부분, Method 부분, Attribute 부분으로 나뉘어서 나타내도록 해주었다. 또한 클래스 파일의 실행 과정에서 핵심 정보를 저장하고 있는 메소드 영역 정보, 오퍼란드 스택 정보, 지역 변수의 정보를 시각적으로 표현하였다.

• 한국지반공학회논문집
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• 제18권1호
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• pp.71-78
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• 2002

본 연구에서는 다층지반에 근입된 흙막이 벽의 단계별 계측변위로부터 각 층의 지반물성을 추정하고 이로부터 차기단계의 거동을 예측하기 위한 역해석 기법을 제안하였다. 지반이 다수의 층으로 구성되어 있을 경우 찾아야 할 대상변수가 많아지게 되며, 대상변수가 많아질수록 역해석에 상당한 무리가 따르게 된다. 이러한 층별 지반물성을 효율적으로 추정하기 위하여 최하단층부터 순차적으로 대상변수들을 찾아가는 방법을 이용하였다. 역해석은 상당량의 반복계산이 필요하기 때문에 정해석 방법으로는 해석시간이 짧고 시공단계 별 해석이 가능한 탄소성보법을 사용하였다. 역해석 대상변수는 탄소성 하중-변위 곡선의 구성요소인 지반반력계수와 수평토압계수들을 취하였으며, 목적함수는 이상변위에 의한 오차를 최소화시키기 위하여 단계별 계측변위 증분과 해석변위 증분의 차이로 구성하였다. 목적함수를 최소화 시키는 대상변수들을 찾기 위한 최적화 수법으로는 제약순차선형계획 법을 이용하였다. 본 연구를 통하여 제안된 방법을 수치해석자료 및 현장계측자료를 이용하여 검증하였다.

• 간호행정학회지
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• 제2권2호
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• pp.59-71
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• 1996

Today, quality management is appearing as a critical issue in the field of health care service, partly because of increasing cost of health care. And qualified health care is also accepted as the right of clients, and the responsibility of health professions. So nursing profession can survive and develop only through the quality management of nursing practice like other health professions. Recently, Consumers of nursing service require the effectiveness and the efficiency of nursing practice. Effectiveness and efficiency of nursing practice can be accomplished by outcome evaluation. The focus of outcome evaluation in nurisng practice is on the change which occures in patient's health status with nurisng intervention. Evaluation of outcome is difficult because of some related problems which should be solved, or managed. These problems could be classified as problems of measurement, and attribution. To solve the problems and to evaluate the outcome in nursing practice more accurately, following tasks were suggested. 1) Outcome indicators, and outcome measurement tools should be developed. For these purpose, outcome variables that nursing interventions can contribute primarily should be found out. Also, outcome variables which are driven from nursing theories should be developed. 2) Outcome researches which can explain the effect of nursing care to patient outcomes should be performed. The outcome researches are the methods which can increase the power of nursing profession. 3) Models which can be used for the systematic and scientific quality management in nursing practice should be developed. The models should include outcome variables, and be able to explain the relationship between structure, process, and outcome aspects of quality management. 4) The method which can make patients participate in the evaluation process of quality of nursing practice should be devised. Because outcome evaluation is client-focused evaluation, the perspectives of patients should be emphasized, and reflected in the process of evaluation.

• KIEAE Journal
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• 제17권5호
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• pp.69-76
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• 2017

Purpose: This study aimed at developing an Artificial Neural Network (ANN) model for predicting the amount of cooling energy consumption of the variable refrigerant flow (VRF) cooling system by the different set-points of the control variables, such as supply air temperature of air handling unit (AHU), condenser fluid temperature, condenser fluid pressure, and refrigerant evaporation temperature. Applying the predicted results for the different set-points, the control algorithm, which embedded the ANN model, will determine the most energy efficient control strategy. Method: The ANN model was developed and tested its prediction accuracy by using matrix laboratory (MATLAB) and its neural network toolbox. The field data sets were collected for the model training and performance evaluation. For completing the prediction model, three major steps were conducted - i) initial model development including input variable selection, ii) model optimization, and iii) performance evaluation. Result: Eight meaningful input variables were selected in the initial model development such as outdoor temperature, outdoor humidity, indoor temperature, cooling load of the previous cycle, supply air temperature of AHU, condenser fluid temperature, condenser fluid pressure, and refrigerant evaporation temperature. The initial model was optimized to have 2 hidden layers with 15 hidden neurons each, 0.3 learning rate, and 0.3 momentum. The optimized model proved its prediction accuracy with stable prediction results.

• Smart Structures and Systems
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• 제30권3호
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• pp.221-237
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• 2022

This paper is concerned with nonlinear modeling and efficient numerical simulation of electrostrictive materials and structures. Two types of such materials are considered: relaxor ferroelectric ceramics and electrostrictive polymers. For ceramics, a geometrically linear formulation is developed, whereas polymers are studied in a geometrically nonlinear regime. In the paper, we focus on constitutive modeling first. For the reversible constitutive response under consideration, we introduce the augmented Helmholtz free energy, which is composed of a purely elastic part, a dielectric part and an augmentation term. For the elastic part, we involve an additive decomposition of the strain tensor into an elastic strain and an electrostrictive eigenstrain, which depends on the polarization of the material. In the geometrically nonlinear case, a corresponding multiplicative decomposition of the deformation gradient tensor replaces the additive strain decomposition used in the geometrically linear formulation. For the dielectric part, we first introduce the internal energy, to which a Legendre transformation is applied to compute the free energy. The augmentation term accounts for the contribution from vacuum to the energy. In our formulation, the augmented free energy depends not only on the strain and the electric field, but also on the polarization and an internal polarization; the latter two are internal variables. With the constitutive framework established, a Finite Element implementation is briefly discussed. We use high-order elements for the discretization of the independent variables, which include also the internal variables and, in case the material is assumed incompressible, the hydrostatic pressure, which is introduced as a Lagrange multiplier. The elements are implemented in the open source code Netgen/NGSolve. Finally, example problems are solved for both, relaxor ferroelectric ceramics and electrostrictive polymers. We focus on thin plate-type structures to show the efficiency of the numerical scheme and its applicability to thin electrostrictive structures.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2023년도 학술발표회
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• pp.161-161
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• 2023

Bias correction of values is a necessary step in downscaling coarse and systematically biased global climate models for use in local climate change impact studies. In addition to univariate bias correction methods, many multivariate methods which correct multiple variables jointly - each with their own mathematical designs - have been developed recently. While some literature have focused on the inter-comparison of these multivariate bias correction methods, none have focused extensively on the effect of diverse configurations (i.e., different combinations of input variables to be corrected) of climate variables, particularly high-dimensional ones, on the ability of the different methods to remove biases in uni- and multivariate statistics. This study evaluates the impact of three configurations (inter-variable, inter-spatial, and full dimensional dependence configurations) on four state-of-the-art multivariate bias correction methods in a national-scale domain over South Korea using a gridded approach. An inter-comparison framework evaluating the performance of the different combinations of configurations and bias correction methods in adjusting various climate variable statistics was created. Precipitation, maximum, and minimum temperatures were corrected across 306 high-resolution (0.2°) grid cells and were evaluated. Results show improvements in most methods in correcting various statistics when implementing high-dimensional configurations. However, some instabilities were observed, likely tied to the mathematical designs of the methods, informing that some multivariate bias correction methods are incompatible with high-dimensional configurations highlighting the potential for further improvements in the field, as well as the importance of proper selection of the correction method specific to the needs of the user.

• Journal of Electrical Engineering and Technology
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• 제10권4호
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• pp.1589-1596
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• 2015

A novel control method of a three-phase PWM inverter with LC filter is proposed. The transfer function of LC filter is the same as that of 2nd order low pass filter(2nd LPF) which has a zero damping ratio. A simple method of implementing 2nd LPF with damping ratio is to add resistor to inductor or capacitor of LC filter. In an industrial application, it is not practical to adopt damping resistor because it results in losses being proportional to square of current flowing through resistor. Instead of using damping resistors, the proposed active damping control(ADC) utilizes all pass filter(APF) and considers inherent processing delay of digital controller. The overall transfer function of the proposed method is the same as a 2nd LPF and its damping ratio is also controllable via control variables. Detailed design and implementation of controller is also presented. Experiments are conducted with a 7.5kVA induction motor drive system controlled by PWM converter and inverter. Test waveforms are also presented to verify the proposed LC filter control algorithm.

• 전력전자학회논문지
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• 제20권3호
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• pp.239-246
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• 2015

A novel control method of a three-phase PWM inverter with LC filter is proposed. The transfer function of LC filter is the same as that of second-order low pass filter(LPF), which has a zero damping ratio. A simple method of implementing second-order LPF with damping ratio is to add a resistor in an LC circuit. However, in a real power system, adopting damping resistors is impractical because it results in losses proportional to the square of the current flowing through the resistors. Instead of inserting resistors, the proposed control strategy utilizes the measured capacitor voltages to control the oscillation of LC circuit. The overall transfer function of the proposed method is the same as a second-order LPF, and its damping ratio is controllable via control variables. The current controller can have overshoots caused by LC filter. Improved current controller is implemented by an equivalent second-order of LC filter. A 7.5 kVA PWM converter and a PWM inverter with a 5.5 kW induction motor are set up to verify the proposed control algorithm. Test waveforms are also presented to verify the proposed LC filter control algorithm.

• 대한기계학회논문집B
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• 제30권11호
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• pp.1131-1138
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• 2006

Aerodynamic shape design of a partial admission turbine using CFD has been performed. Two step approaches are adopted in this study. Firstly, two-dimensional blade shape is optimized using CFD and genetic algorithm. Initially, the turbine cascade shape is represented by four design parameters. By controlling the design parameters as variables, the non-gradient search is analyzed for obtaining the maximum efficiency. The final two-dimensional blade proved to have a more blade power than the initial blade. Secondly, the three-dimensional CFD analysis including the nozzle, rotor and stator has been conducted. To avoid a heavy computational load due to an unsteady calculation, the frozen rotor method is implemented in steady calculation. The frozen rotor method can detect a variation of the flow-field dependent upon the blade's circumferential position relative to the nozzle. It gives a better idea of wake loss mechanism starting from the lip of the nozzle than the mixing plane concept. Finally, the combination of two and three dimensional design method of the partial admission turbine in this study has proven to be a robust tool in development phase.