• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.33 no.3
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• pp.18-25
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• 2005

Existing methods have performed the reliability analysis using nonlinear optimization techniques. This is mainly due to the fact that they directly apply Multidisciplinary Design Optimization(MDO) frameworks to the reliability analysis formulation. Accordingly, the reliability analysis and the Multidisciplinary Analysis(MDA) are tightly coupled in a single optimizer, which hampers utilizing the recursive and function-approximation based reliability analysis methods such as the Advanced First Order Reliability Method(AFORM). In order to utilize the efficient reliability analysis method under multidisciplinary analysis systems, we propose a new strategy named Sequential Approach on Reliability Analysis under Multidisciplinary analysis systems(SARAM). In this approach, the reliability analysis and the MDA are decomposed and arranged in a sequential manner, making a recursive loop. The efficiency of the SARAM method was verified using three illustrative examples taken from the literatures. Compared with existing methods, it showed the least number of subsystem analyses over other methods while maintaining accuracy.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.1A
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• pp.21-33
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• 2006

The reliability analysis can be conducted more effectively by formulating the stochastic finite element method suitable for the reliability theory about the cable stayed bridge. After conducting the initial equilibrium analysis of the cable stayed bridge, the program which can conduct the linear and nonlinear stochastic finite element analysis using the perturbation method and the reliability analysis considered to the correlation of the random variable is developed. Using the results of this program about the cable stayed bridge, the characteristic of the node displacement, element force and cable tension according to the correlation of the random variable is investigated quantitatively. Also the reliability index and the failure probability are examined by the compounding the correlation of the random variable.

• Nuclear Engineering and Technology
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• v.27 no.3
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• pp.418-426
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• 1995

설계의 신뢰성은 응력해석을 통하여 확인될 수 있으며, 해석결과는 대상 부품의 구조적 건전성을 입증하는 근거가 된다. 본 보고서는 ANSYS의 피로해석 모듈을 이용한 CANDU 6핵연료채널의 응력해석 및 ASME Code에 따른 해석 절차 개발을 소개하였다. 응력해석은 ASME Code Section III NB-3200 의 $\ulcorner$Design by Analysis$\lrcorner$에 기초한 해석절차에 따라 수행하였으며, 체계적인 해석을 위해 자료 처리용 ANSYS 매크로 및 FORTRAN 프로그램을 개발하였다. 해석은 각 조건에 따라 기계적응력과 열응력해석으로 분리하여 수행한 후 조합되었으며, ANSYS 피로해석 모듈을 이용하여 선정된 절점들의 기계적응력과 열응력의 합에 대한 최대응력강도범위를 계산하였다. 응력해석 결과, CANDU 6 핵연료채널의 구조적 건전성이 입증되었으며, ANSYS를 이용한 ASME Code해석절차가 확립되어 CANDU 원자로 해석의 신뢰성을 크게 향상 시켰음은 물론 독자적인 수행을 위한 발판을 마련하였다.

• Journal of the Korean Geotechnical Society
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• v.30 no.8
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• pp.5-11
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• 2014

The objective of this paper is to develop a rational reliability analysis procedure for the LRFD design provisions of bridge substructures. A bridge abutments is considered in this study. The reliability analysis is applied to determine the relationship between the major design parameters for bridge abutment and reliability index. The considered load components include dead load, vertical and horizontal earth pressure, earth surcharge, and vehicle live load. Several limit states are considered: foundation bearing capacity, sliding, and overturning. The analysis results show that the most important parameter in the reliability analysis is the effective stress friction angle of the soil. The reliability indices are calculated using Monte Carlo simulations for a selected bridge abutment. The results of the sensitivity analysis indicate that reliability index is most sensitive with regard to resistance factor and horizontal earth pressure factor.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2011.04a
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• pp.598-601
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• 2011

동적응답과 하중을 정확히 산정하기 위해서는 구조물의 동적특성을 정확히 평가하는 것이 중요하기 때문에, 현재 대부분의 경우 FE 모델을 이용한 Modal 해석을 dldydg하여 동특성을 평가하고 있다. 그러나 실제 건물의 계측결과와 동적특성의 해석결과가 많은 차이를 나타내고 있으므로 해석결과의 신뢰성을 향상하기 위해서는 FE 모델에 대한 Calibration이 수행될 필요성이 있다. 이 논문에서는 초고층, 아파트, 대공간 구조물에 대한 계측을 수행하고 이 결과를 바탕으로 동특성을 정확히 예측하기 위한 FE 모델의Calibration 과정을 제시하였다. 이 결과를 바탕으로 동적특성의 정확성이 풍동실험결과의 신뢰성에 미치는 영향을 분석하였다.

• Journal of the Society of Naval Architects of Korea
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• v.28 no.2
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• pp.195-206
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• 1991

This paper is concerned with comparison of the first-order reliability methods applied to the assessment of structural safety. For convenience the reliability methods are divided into two categories : the One can explicitly consider the effects of uncertainties in material and geometric variables on those of load effects, say stresses and displacement in the structural analysis procedure and the other one does not. The first method is commonly termed as the stochastic finite element method(SFEM) or probabilistic finite element method(PFEM) and the second method is termed heroin as the ordinary reliability method to distinct it from the stochastic finite element method in which the structural analysis is carried out just once and the load effects are directly input into the reliability analysis procedure. This is based on the reasonable assumption that the level of uncertainties of load effects is the same as those of load itself. In this paper the above two different reliability method have been applied to the safety assessment of plane frame structures and compared thier results from the view point of their efficiency and usefulness. As lear as results of the present structure models are concerned, it can be said that the ordinary reliability method can give reasonable results when the uncertainties of material and geometric variables are comparatively small, say when less than about 15% and the stochastic finite element method is desired to be applied to the structure in which the COV's are comparatively great, say when greater than about 15%.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.22 no.4
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• pp.299-306
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• 2009

Design optimization is a method to find optimum point which minimizes the objective function while satisfying design constraints. The conventional optimization does not consider the uncertainty originated from modeling or manufacturing process, so optimum point often locates on the boundaries of constraints. Reliability based design optimization includes optimization technique and reliability analysis that calculates the reliability of the system. Reliability analysis can be classified into simulation method, fast probability integration method, and moment-based reliability method. In most generally used MPP based reliability analysis, which is one of fast probability integration method, if many MPP points exist, cost and numerical error can increase in the process of transforming constraints into standard normal distribution space. In this paper, multiplicative decomposition method is used as a reliability analysis for RBDO, and sensitivity analysis is performed to apply gradient based optimization algorithm. To illustrate whole process of RBDO mathematical and engineering examples are illustrated.

• Proceedings of the Korean Nuclear Society Conference
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• 1996.05c
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• pp.447-452
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• 1996

본 연구에서는 7개의 PWR 사용후핵연료집합체를 운반할 수 있는 KSC-7 수송용기의 건식수송조건에 대한 열적 건전성을 평가하였다. 수송용기 축소모델을 제작하여 열시험을 수행하였고 또한, 시험조건과 동일한 조건으로 열전달해석을 수행하여 두가지 결과를 비교 분석함으로써 시험 및 해석결과에 대한 신뢰성을 검증하였다. 신뢰성이 검증된 해석방법을 이용하여 수송용기 본체 및 핵연료집합체에 대한 열전달해석을 수행함으로써 방사선차폐체 및 핵연료봉에 대한 열적 건전성을 입증하였다. 또한, 수송용기의 온도상승에 따른 구조적 건전성을 평가하기 위한 열응력해석을 수행하였다.

• Computational Structural Engineering
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• v.3 no.1
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• pp.51-57
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• 1990

The current load combination criteria for design of nuclear power plant structures(NPP) are not based on the probability-based design concept but rely on the conventional design concept. In this paper, a load combination criteria for design of NPP containment structures are proposed based on a FEM-based random vibration analysis. More accurate reliability analyses under various dynamic loads such as earthquake loads were made possible by incorporating the FEM and random vibration theory, which is different from the conventional reliability analysis method, In this paper, the toad factors for the design of NPP structures in Korea are proposed by considering appropriate load combination criteria for design.

• Journal of the Society of Naval Architects of Korea
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• v.33 no.1
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• pp.98-108
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• 1996

In the reliability analysis of general structures, the limit state equations are implicit and cannot be described in closed form. Thus, sampling methods such as the Crude Monte-Carlo simulation, and probabilistic FEM are often used, but these methods are not so effective in view of computational cost, because a number of structural analysis are required and the derivatives must be calculated for probabilistic FEM. Alternatively the response surface approach, which approximates the limit state surface by using several results of structural analysis in the region adjacent to MPFP, could be applied effectively. In this paper, the central composite design, Bucher-Bourgund method and the approximation method using artificial neural network are studied for the calculation of probability of failure by the response surface method. Through the example comparisons, it is found that Bucher-Bourgund method is very effective and Neural network method for the reliability analysis is comparable with other methods. Specially, the central composite design method is found to be rational and useful in terms of mathematical consistency and accuracy.