• 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 Korea Academia-Industrial cooperation Society
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• v.18 no.3
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• pp.718-723
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• 2017

When structural analysis modelling methods of practical fields are investigated, a slab is generally modeled by a finite element mesh using plate elements and a shear wall is modeled using a shell element or wall element for 3-D structural analysis. The point worthy of notice in this practice is that a shear wall is modelled using only one wall or shell element divided by floors and column lines to produce structural models. The modeling method like this can cause analysis errors according to the type of computer programs in use, and these errors reduce the reliability of the analysis results. Therefore, to secure the reliability of structural analysis, studies of the causes of errors and finding reasonable modeling methods are necessary. In this study, the causes of analysis errors according to the modelling methods of a shear wall, which are used in practical fields, were investigated and some considering matters for modelling a shear wall are presented to reduce the analysis errors on these analysis results.

• 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.

• 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.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.13 no.2
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• pp.121-133
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• 1993

Presented is a study on the establishment of a method of advanced reliability analysis for the realistic analysis and design of reinforced concrete(RC) structures. Considerable variabilities exist in concrete structures due to random nature of concrete materials and member dimensions. The present study analyzes first the uncertainties in concrete, reinforcements and member dimensions and then a method is proposed to determine the probability uncertainties of basic variables. The limit state equations are also proposed for the RC members with axial compression and bending and RC footings. The advanced invariant second-moment method is applied to analyze those structures. The present study provides an important base for realistic reliability analysis of RC structures.

• Journal of the Society of Naval Architects of Korea
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• v.32 no.1
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• pp.25-36
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• 1995

The application of the reliability analysis is investigated as a probabilistic approach to the assessment of ship's structural strength and to the establishment of design format for longitudinal strength. Reliability analyses are carried out for 34 ships of tankers and bulk carriers built in HHI for some failure modes such as tensile yielding, compressive buckling and ultimate strength of hull girder. The safety assessment of each ship, the calculation of sensitivity factors and the derivation of target reliability index are performed. As results. the difference of reliability indices among ships is great for all modes. To provide more uniform levels of safety the establishment of new strength criteria using partial safety factors is performed. The partial safety factors for the design format are obtained according to the AFOSM method and the reliability-conditioned(RC) method. Finally, a design format using partial safety factors has been proposed. We could find out that new strength criteria can produce consistent reliability indices which are close to the target value.

• Journal of the Society of Naval Architects of Korea
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• v.28 no.2
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• pp.207-227
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• 1991

The impact of the system reliability analysis to structural design is described in this paper and various methods for system reliability analysis developed up to the present are reviewed and discussed from the view point of their efficiency. The paper also includes the detailed formulation procedure of the, so called, extended incremental load method has applied to relatively simple structure to show its usefulness.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2010.04a
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• pp.620-623
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• 2010

구조요소의 설계에서 유한요소해석은 매우 효과적인 방법이며 정확한 해석 기술을 요구한다. 그러나 제조 공정이나 환경에 따라 달라지는 재료 물성이나 불확실성을 내포하는 피로 물성을 확정적인 값으로 이용하는 등 입력 변수의 부정확한 정보로 인해 유한요소해석 결과를 신뢰하지 못하는 경우가 자주 발생한다. 실제 시험을 통해 설계의 결과를 예측하는 것은 경제적인 측면과 시간소요 면에서 한계가 따르기에 신뢰할 수 있는 유한요소해석 방법이 요구된다. 본 연구에서는 고주기의 피로 해석을 위해 유한요소해석을 이용하여 스프링의 응력-수명(S-N) 파라미터를 역 추정하고 수명을 예측해 보았다. 이를 위해 실제 산업현장에서 쓰이는 자동차 서스펜션 코일 스프링을 예제로 사용하였다. 시험 모델에 대해 불확실성을 고려한 베이지안 접근법을 이용하여 입력변수의 파라미터를 역 추정하였으며, 마코프체인몬테카를로(Markov Chain Monte Carlo) 기법을 이용하여 얻어진 피로 물성 파라미터의 샘플 데이터를 이용해서 유한요소해석을 실시하고 신뢰수준 내에서 새로운 구조요소의 피로수명을 예측하였다.

• Proceedings of the Korea Concrete Institute Conference
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• 1996.04a
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• pp.334-339
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• 1996

본 연구의 목적은 불확실성이 내포되어 있는 콘크리트 구조물을 신뢰성 이론에 근거한 보통강도, 고강도 콘크리트에서의 휨모멘트-곡률관계와 하중변위관계를 해석하는데 그 목적을 두고 있다. 또한 기존의 해석방법과 본 연구에서의 해석방법을 비교하고 각 강도별로 기존에 제안된 응력블럭을 가정, 강도별에 알맞은 응력블럭을 검증하고 본 연구의 해석방버벵 대한 타당성을 증명하는 데 있다. 그래서 기존의 문헌을 통하여 공시체 데이터($\Phi$10$\times$20)에 대한 회귀분석을 이용하여 각 강도별로 곡선식을 모델화하여 제안하였고 이 식을 이용하여 불확실성을 내포하고 있는 몬테카롤로 시뮬레이션을 사용하여 내력을 평가하여 기존연구 해석치와 각 응력블럭을 이용한 본 연구에서의 해석치를 비교검토하여 이 해석방법의 타당성을 증명하는데 있다.

• 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.