• Computational Structural Engineering
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• v.11 no.4
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• pp.177-186
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• 1998

PSC 연속 평판슬래브의 설계는 부정정 평판슬래브에 대한 정확한 해석의 어려움 등으로 등가보이론과 등가골조이론에 의한 근사식을 수정없이 사용하거나 컴퓨터를 이용한 해석에 의존하고 있으나 해석결과를 간단하게 정확히 평가할 수 있는 기법은 없는 실정이다. 또한 PSC 연속 평판슬래브의 부재력은 긴장재의 곡선형태에 따라 변하므로 실제 설계시 PS 긴장재의 정확한 곡선식을 찾는 것은 매우 중요하다. 본 연구에서는 비부착 PSC 연속 평판슬래브를 설계할 때 기둥과 기둥을 연결하는 PS 긴장재의 기하학적 곡선형태를 결정하는 방법과, PS 긴장력으로 인해 발생하는 평판슬래브의 기둥부 휨모멘트에 대하여 판이론을 기초로 간편하게 계산하는 방법을 제안하였다. 본 연구에서 제안된 이론으로 계산된 PSC 연속 평판슬래브에 대한 해석값과 유한요소 해석에 의한 지점 부모멘트를 비교 검토하여, 본 논문에서 제시한 기법의 타당성을 입증하였다. 따라서 본 연구는 설계자에게 컴퓨터의 해석결과를 간단하고 정확하게 검증할 수 있도록 하였다.

• Composites Research
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• v.16 no.4
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• pp.36-43
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• 2003

In this research, the optimization of composite structures was performed using metamodels. The optimization of composite structures requires a lot of time when optimizing the result of the time-consuming analysis. Thus, metamodels are used to replace the time-consuming analysis with simple models. RSM, kriging and neural networks are widely used metamodels. RSM and kriging were used in this study. The ultimate failure load analysis of the composite structure was approximated by metamodels. The optimizations of the composite plate were performed to maximize ultimate failure load using genetic algorithm and metamodels.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.14 no.1
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• pp.11-19
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• 2001

기능경사재(FGM)는 구성 물질의 체적분율(volume fraction)이 복합재 전체에 걸쳐 연속적 그리고 기능적으로 분포되어 있어, 기존의 이종물질 접합식(bi-material-type) 복합재보다 현저히 우수한 열기계적 특성을 가진다. 하지만, 기능경사 내열복합재의 열-탄소성 거동은 체적분율의 분포형태와 경사층이 차지하는 상대두께비에 따라 절대적으로 좌우된다. 본 연구는 기능경사 내열복합재의 열-탄소성 특성의 이들 두 설계인자에 대한 파라메트릭 FEM해석을 다룬 것이다. 열-탄소성 이론과 유한요소 근사화에 따라 연구용 2차원 FEM 프로그램을 개발하고, 대표적인 3층 구조의 2차원 기능경사 내열복합재의 열-탄소성 특성을 설계변수의 다양한 조합에 따라 분석하였다.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2004.04a
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• pp.275-283
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• 2004

The paper describes the integrated design system using MDO and approximation technique. In MDO related research, final target is an integrated and automated MDO framework systems. However, in order to construct the integrated design system, the prerequisite condition is how much save computational cost because of iterative process in optimization design and lots of data information in CAD/CAE integration. Therefore, this paper presents that an efficient approximation method, Adaptive Approximation, is a competent strategy via MDO framework systems.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• v.2
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• pp.143-147
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• 2006

The rail clamp is the device to prevent that a crane slips along rails due to the wind blast as well as locate the crane in the set position for loading and unloading containers. The wedge type rail clamp should be designed to consider the structural stability and the durability because it compresses both rail side with large clamping force by the wedge working as the wind speed increases. In this research, the kriging interpolation method using sequential sampling is utilized to find the optimum shape of the jaw in the rail clamp. The suggested method predicts more accurate response value than the response surface method. The optimum results obtained by the proposal method are compared with those by the commercial software.

• Journal of the Korea institute for structural maintenance and inspection
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• v.17 no.6
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• pp.1-10
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• 2013

Probabilistic nonlinear first ply failure loads of flat composite panels and nonlinear buckling loads of curved composite panels with cutouts are estimated to provide the more reliable main load carrying structure in the renewable energy industry and offshore structures. The response surface method approximates limit state surface to a second order polynomial form of random variables with the results of deterministic finite element analyses at given sampling design points. Furthermore, the iterative linear interpolation scheme is used to obtain a more accurate approximation of the limit state surface near the most probable failure point (MPFP). The advanced first order second moment method and the Monte Carlo method are performed on an approximated limit state surface to evaluate the probability of failure. Finally, the sensitivity of the reliability index with respect to transformed random variables is investigated to figure out the main random variables that have an effect on failures.

• Journal of Korean Society of Steel Construction
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• v.14 no.6
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• pp.783-791
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• 2002

An improved formulation for multi-objective optimization was proposed. This formulation was applied to steel seismic loads. The multi-objective optimization problem was formulated with minimum structural weight, maximum strstability. The global criterion method was employed to find a rational solution closest to the ideal solution for the optimization problem using standard steel profile, To efficiently solve the optimization problem, the decomposition meth both system-level and element-level was used. In addition, various techniques including efficient reanalysis technique intermediate variables and sensitivity analysis using an automatic differentiation(AD) were incorporated. Moreover the reamong section properties fitted to the section profile used in order to link the system level and the element level. From numerical investigation, it could be stated that the proposed method will lead to the more rational design compared with one.

• Computational Structural Engineering
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• v.4 no.4
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• pp.14-23
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• 1991

T/G 가동중 발생한 Gear Box 파손원인을 조사하기 위하여 실시한 현장측정결과를 이용한 결과, 다음과 같은 사실을 알 수 있었다. 1) 현장 측정치와 구조해석 결과를 토대로 판단해 볼 때 본 연구대상 구조물의 구조상 문제는 없는 것으로 판단된다. 특히 측정된 진동변위를 여러기준과 비교해 볼 때 기계 가동시 구조물에 발생하는 진동은 사람이 감지할 정도에 속한다. 2) 본 연구대상 구조물과 기계의 진동수 차가 커 공진역을 벗어나므로 기계와 구조물이 공진을 일으킬 가능성은 없으며, 감쇠비에 따른 구조물의 동적응답에는 큰 변화가 없는 것으로 판단된다. 3) 구조물설계회사에서 사용한 구조해석 모델은 근사적 모델로서 구조해석 결과 안전한 값이 얻어졌다. 따라서 이 모델을 사용하여 기초설계를 실시할 경우 안전성 문제는 없는 것으로 판단되나, 다소 경제성이 문제가 되었을 것으로 사료된다. 4) 기계제작회사에서 제시한 해석자료의 불충분으로 기계제작회사의 구조해석 모형에 대해서는 충분한 검토를 실시할 수 없었으나 기계제작회사의 해석결과를 측정치와 비교해 볼 때 측정치를 훨씬 초과함을 알 수 있었다. 이는 해석모형 작성시 구조물과 하중의 실제 상황을 제대로 반영하지 못했기 때문으로 판단되며 따라서 해석결과는 타당성이 없어 보인다. 이상의 사실을 토대로 판단해 볼 때 Gear Box 파손의 주된 원인은 구조물의 결함이라기 보다는 기계 자체의 결함인 것으로 판단되나 기계에 대한 조사는 본 연구대상이 아니므로 이에 대한 검토는 실시하지 않았다.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.1
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• pp.161-171
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• 2021

This paper presents the findings of a comparative study on minimum weight design and sensitivity evaluation using different experimental design methods for the structural design of an active-type deck support frame (DSF) developed for the float-over installation of an of shore plant topside. The thickness sizing variables of the structural members of a passive-type DSF were considered the design factors, and the output responses were defined using the weight and strength performances. The design of the experimental methods applied in the comparative study of the minimum weight design and the sensitivity evaluation were the orthogonal array design, Box- Behnken design, and Latin hypercube design. A response surface method was generated for each design of the experiment to evaluate the approximation performance of the design space exploration according to the experimental design, and the accuracy characteristics of the approximation were reviewed. Regarding the minimum weight design, the design results, such as numerical costs and weight minimization, of the experimental design for the best design case, were evaluated. The Box- Behnken design method showed the optimum design results for the structural design of the passive-type DSF.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.37 no.11
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• pp.1397-1405
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• 2013

The optimal rib pattern design of B-pillar trim considering occupant head protection can be determined by two methods. One is the conventional approximate optimization method that uses the statistical design of experiments (DOE) and response surface method (RSM). Generally, approximated optimum results are obtained through the iterative process by trial-and-error. The quality of results strongly depends on the factors and levels assigned by a designer. The other is a methodology derived from previous work by the authors, called the sequential design of experiments (SDOE), to reduce the trial-and-error procedure and to find an appropriate condition for using artificial neural network (ANN) systematically. An appropriate condition is determined from the iterative process based on the analysis of means. With this new technique and ANN, it is possible to find an optimum design accurately and efficiently.