• Proceedings of the Computational Structural Engineering Institute Conference
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• 2011.04a
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• pp.689-692
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• 2011

본 논문에서는 해양작업 상태의 하중조건을 고려한 부유식 원유생산 저장 하역 장치에 설치된 라이져 보강구조의 강도설계에 관련하여 다양한 근사화 기법 기반 설계 최적화 및 그 성능을 비교하고자 한다. 설계 최적화 문제는 하중조건별 구조강도의 제한조건 하에서 중량을 최소화하여 설계변수인 구조 부재치수가 결정되도록 정식화 된다. 비교 연구를 위해 사용된 근사화 기법은 반응표면법 기반 순차적 근사최적화(RBSAO), 크리깅 기반 순차적 근사최적화(KBSAO), 그리고 개선된 이동최소자승법(MLSM) 기반 근사최적화 기법인 CF-MLSM와 Post-MLSM이다. 본 연구에 적용한 MLSM 기반 근사최적화 기법들은 제한조건의 가용성을 보장할 수 있도록 새롭게 개발되었다. 다양한 근사화 모델 기반 설계 최적화 기법에 의한 결과는 설계 해의 개선 및 수렴속도 등의 수치적 성능을 기준으로 실제 비근사 설계최적화 결과와 비교검토 하였다.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.24 no.5
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• pp.543-551
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• 2011

The paper deals with the comparative study of design optimization based on various approximation techniques in strength design of riser support structure installed on floating production storage and offloading unit(FPSO) using offshore operation loading conditions. The design optimization problem is formulated such that structural member sizing variables are determined by minimizing the weight of riser support structure subject to the constraints of structural strength in terms of loading conditions. The approximation techniques used in the comparative study are response surface method based sequential approximate optimization(RBSAO), Kriging based sequential approximate optimization(KBSAO), and the enhanced moving least squares method(MLSM) based approximate optimization such as CF(constraint feasible)-MLSM and Post-MLSM. Commercial process integration and design optimization(PIDO) tools are employed for the applications of RBSAO and KBSAO. The enhanced MLSM based approximate optimization techniques are newly developed to ensure the constraint feasibility. In the context of numerical performances such as design solution and computational cost, the solution results from approximate techniques based design optimization are compared to actual non-approximate design optimization.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.14 no.3
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• pp.339-348
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• 2001

More often a commercial package for the structural analysis is necessary in the structural optimum design. In this case the task of combining the package with an optimization program must be required, hut it is not so simple because interchanging some data between them is difficult. Sequential approximate optimization is currently used as a natural way to overcome the hard task. If sequential approximate optimization has wide side constraints that the lower limit of design variables is very small and their upper limit is very large, it is not so easy to obtain approximated functions accurately for the whole design domain. This paper proposes a sequential design domain method, which is very useful to carry out sequential approximate optimization in this case. In this paper, the response surface methodology is used to obtain approximated functions and the orthogonal array is used for design of experiments. The sequential approximate optimization of 3-bar and 10-bar trusses is demonstrated to verify the reliability of the sequential design domain method.

• Computational Structural Engineering
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• v.4 no.1
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• pp.32-35
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• 1991

본 고에서는 막구조 해석.설계시의 주요 내용을 각 해석단계별로 간략히 소개하였다. 막구조는 막이론 자신이 가진 근사성, 요소의 탄성 특성의 근사, 막면 요소로 곡면을 나타내는 기하학적 근사 등으로 구조물의 형태, 막재료의 동특성에 따라 해석시 오차가 발생하게 되며, 또한 구조설계 단계에서 막 판넬 제작 및 시공에 대한 고려가 되지 않으면 그 오차는 더욱 크게 된다. 따라서 향후, 보다 정확한 막구조의 설계를 위해서는 섬유직포에 코팅한 막재의 역학적 특성을 보다 잘 표현할 수 있는 막재모델의 정식화, 막재단도 해석시 무장력 상태의 설계곡면을 구하는 방법, 막판넬을 접합하고, 장력을 도입하는 시공과정을 고려한 실초기 평형상태 및 시공과정 해석법에 대한 연구가 계속 되어야 한다. 또한 초기형상 해석에서 시공과정 해석까지 전 설계과정을 공통 Data Base에서 일관 작업이 가능하도록 막구조통합 설계 System의 개발이 필요하다.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2010.04a
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• pp.568-573
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• 2010

본 논문에서는 압축하중 및 풍하중, 지진하중을 받는 RC (Reinforced Concrete) 빌딩 시공에 필요한 부재의 재료비를 최소화하기 위해 부재의 부피를 최소화하는 최적설계를 수행한다. 최적설계 수행을 위해 상용 PIDO (Process Integration and Design Optimization) 툴인 PIAnO (Process Integration, Automation and Optimization)에서 제공하는 다양한 설계기법들을 이용한다. 먼저 실험계획법을 사용하여 실험계획을 세우고, 실험점에 따라 범용 구조해석 프로그램인 MIDAS Gen을 사용하여 구조해석을 수행한다. 그리고 해석결과를 바탕으로 각 응답에 대한 근사모델을 생성한 후 근사모델과 최적화기법을 이용하여 최적설계를 수행하고, 제한조건을 만족하면서 부재의 부피를 최소화함으로써 제안된 설계방법의 유효성을 보인다.

• Journal of Convergence for Information Technology
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• v.11 no.1
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• pp.109-117
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• 2021

In this paper, the meta-model based approximate optimization was carried out for the structure design of an ocean automatic salt collector in order to minimize the structure weight. The structural analysis was performed by using the finite element method to evaluate the strength performance of the ocean automatic salt collector in its initial design. In the structural analysis, it was evaluated the strength performance of the design load conditions. The optimum design problem was formulated so that design variables of main structure thickness would be determined by minimizing the structure weight subject to strength performance constraints. The meta-models used in the approximate optimization were the response surface method, Kriging model, and Chebyshev orthogonal polynomials. Regarding to the numerical characteristics, the solution results from approximate optimization techniques were compared to the results of non-approximate optimization. The Chebyshev orthogonal polynomials among the meta-models used in the approximate optimization showed the most appropriate optimum design results for the structure design of the ocean automatic salt collector.

• Journal of Korean Society of Steel Construction
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• v.12 no.1 s.44
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• pp.45-54
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• 2000

Design-oriented approximate structural reanalysis models are compared and assessed, particularly with focus on the case of large changes of design variables. The effectiveness and reliability are demonstrated by means of numerical examples. The results of the study suggest the following conclusions relative to the potential of the procedures. (A) local approximation is only appropriate for the case of small changes in design : (B) global approximation is exact for the case of large changes in a small number of design variables, but inefficient : (C) local-global approximation is most effective and reliable for the case of large changes with a large number of design variables. These methods can improve the total efficiency when they are appropriately used to the design information for the redesign process of large scale structures.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10a
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• pp.691-693
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• 2004

0.18$\mu\textrm{m}$ 표준 셀 라이브러리로 구현할 때 2.69㎱의 임계 경로 지연을 가지는 SIMD구조의 포화 덧셈기를 설계하였다. 기존의 설계에서 임계 경로를 구성하는 CLA를, 8비트까지만 자리올림(Carry)이 전파될 때 정확한 계산을 보장하는 근사 덧셈기의 형태로 설계한 결과, 임계 경로 시간 지연을 약 22% 감소시킬 수 있었다. 파이프라인 구조 프로세서에서 사용될 포화 덧셈기의 근사계산이 실패하는 경우에는, 추가적인 2개의 클록주기 동안 재 계산을 수행하게 된다.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.23 no.5
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• pp.501-507
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• 2010

Structural optimization is performed to minimize the weight of a RC building structure, which has eight floors above ground and three underground, under gravity, wind, and seismic loads. Design optimization problem is formulated to find the values of the design variables that minimize the volume while satisfying various design and side constraints. To solved the optimization problem posed, several design techniques equipped in PIAnO, a commercial PIDO tool, are used. DOE is used to generate training points and structural analysis is performed using MIADS Gen, a general-purpose structural analysis CAE tool. Then, meta-models are generated from structural analysis results and accuracies of meta-models are evaluated. Next, design optimization is performed by using the verified meta-models and optimization technique equipped in PIAnO. Finally, we obtained optimal results, which could demonstrate the effectiveness of our design method.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.21 no.4
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• pp.317-324
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• 2008

Optimum design for general or complex structures are required to the need of many numbers of structural analyses. However, current computational environment with single processor is not capable of generating a high-level efficiency in structural analysis and design process for complex structures. In this paper, a virtual parallel computing system communicated by an internet of personal computers and workstation is constructed. In addition, a routine executing Pro/E, ANSYS and optimization algorithm automatically are adopted in the distributed process technique of sequential approximate optimization for the purpose of enhancing the flexibility of application to general structures. By employing the distributed processing technique during structural analysis using commercial application, total calculation time could be reduced, which will enhance the applicability of the proposed technique to the general complex structures.