• 대한기계학회논문집A
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• 제31권3호
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• pp.355-364
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• 2007

Multidisciplinary design optimization based on independent subspaces (MDOIS) is a simple and practical method that can be applied to the practical engineering MDO problems. However, the current version of MDOIS does not handle the common design variables. A new version of MDOIS is proposed and named as MDOIS/2006. It is a two-level MDO method while the original MDOIS is a single-level method. At first, system analysis is performed to solve the coupling in the analysis. If the termination criteria are not satisfied, each discipline solves its own design problem. Each discipline in the lower level solves the problem with common design variables while they are constrained by equality constraints. In the upper level, the common design variables of related disciplines are determined by using the optimum sensitivity of the objective function. To validate MDOIS/2006, mathematical problem and NASA test bed problem are solved. The results are compared with those from other MDO methods. Finally, MDOIS/2006 is applied to flow patterner design and shows that it can be successfully applied to the practical engineering MDO problem.

• International Journal of Aeronautical and Space Sciences
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• 제11권4호
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• pp.247-265
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• 2010

Multi-objective design exploration (MODE) and its applications are reviewed as an attempt to utilize numerical simulation in aerospace engineering design. MODE reveals the structure of the design space based on trade-off information. A self-organizing map (SOM) is incorporated into MODE as a visual data mining tool for the design space. SOM divides the design space into clusters with specific design features. This article reviews existing visual data mining techniques applied to engineering problems. Then, we discuss three applications of MODE: multidisciplinary design optimization for a regional-jet wing, silent supersonic technology demonstrator and centrifugal diffusers.

• 대한기계학회논문집A
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• 제25권2호
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• pp.182-191
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• 2001

The paper describes the improvement on concurrent subspace optimization(CSSO) via automatic differentiation. CSSO is an efficient strategy to coupled multidisciplinary design optimization(MDO), wherein the original design problem is non-hierarchically decomposed into a set of smaller, more tractable subspaces. Key elements in CSSO are consisted of global sensitivity equation, subspace optimization, optimum sensitivity analysis, and coordination optimization problem that require frequent use of 1st order derivatives to obtain design sensitivity information. The current version of CSSO adopts automatic differentiation scheme to provide a robust sensitivity solution. Automatic differentiation has numerical effectiveness over finite difference schemes tat require the perturbed finite step size in design variable. ADIFOR(Automatic Differentiation In FORtran) is employed to evaluate sensitivities in the present work. The use of exact function derivatives facilitates to enhance the numerical accuracy during the iterative design process. The paper discusses how much the automatic differentiation based approach contributes design performance, compared with traditional all-in-one(non-decomposed) and finite difference based approaches.

• 한국항공우주학회지
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• 제30권7호
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• pp.1-10
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• 2002

설계 순기의 단축, 개발 비용의 절감, 제품 성능의 향상을 목적으로 하는 MDO(Multidisciplinary Design Optimization)의 적용이 가능한 프레임워크의 개발을 위하여 해석 자원의 통합 방안, 해석 및 최적화 과정의 관리 방안과 이를 위한 소프트웨어 구조를 제시하였다. 중앙집중식 DBMS(Data Base Management System)을 채택하였으며, 해석 코드의 통합 방안으로 DLL(Dynamic Link Library)을 이용하는 방법과 입출력 파일을 이용하는 방안을 제시하였다. 해석 및 최적화 과정과 데이터 흐름을 관리하는 방안으로 Graphic Programming의 개념을 도입하였다. 간단한 수치 예제와 삼차원 패널 코드를 이용한 항공기 날개의 형상 최적화에 적용하여 제시한 방안의 타당성을 검증하였다.

• 대한기계학회논문집A
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• 제26권9호
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• pp.1822-1830
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• 2002

The paper describes the development of a decomposition based multidisciplinary design optimization (MDO) method that coordinates each of disciplinary subspace optimization (DSO). A multidisciplinary design system considered in the present study is decomposed into a number of subspaces based on their own design objective and constraints associated with engineering discipline. The coupled relations among subspaces are identified by interdisciplinary design variables. Each of subsystem level optimization, that is DSO would be performed in parallel, and the system level coordination is determined by the first order optimal sensitivities of subspace objective functions with respect to interdisciplinary design variables. The central of the present work resides on the formulation of system level coordination strategy and its capability in decomposition based MDO. A fluid-structure coupled design problem is explored as a test-bed to support the proposed MDO method.

• 한국항공우주학회지
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• 제40권8호
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• pp.695-702
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• 2012

본 연구에서는 개념설계 단계에서의 해석 결과의 정확도를 높이기 위한 다정밀도 해석과 모든 분야의 요구도를 만족하기 위한 다분야통합 설계 최적화 기법을 적용하였다. 무인항공기의 해석을 위하여 경험식 기반의 저정밀도 해석도구들이 초기 사이징, 공력, 추진, 임무, 중량, 성능, 안정성 도구들로 모듈화되어 개발 및 검증되었다. 개발된 해석도구를 이용하여 설계통합 프로그램을 구성하고, 설계의 정확도를 증가시키기 위하여 다정밀도 해석에 와류 격자법을 이용하였다. 다분야통합 설계 최적화를 위하여 MDF 기법이 적용되었다. 또한 최적화 도구로는 구배기반 최적화 기법을 적용하였다. 제시한 방법의 타당성을 밝히기 위하여, 저정밀도 해석만을 적용한 방법과 다정밀도 해석을 적용한 두 가지 방법의 최적화 결과를 비교하여 본 연구에서 제안된 다정밀도 해석이 개념설계 단계에서 적용 가능함을 보였다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1997년도 추계학술대회 논문집
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• pp.613-616
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• 1997

MDO(Multidisciplinary Design Optimization) methodology is an emerging new technology to solve a complicate structural analysis and design problem with a number of design variables and constraints. In this paper MDO methodology is adopted through the use of computer aided engineering(CAE) system. And this paper treats the structural design problem of RIROB(Reactor Inspection Robot) through the application of MDO methodology. In a MDO methodology application to the structural design of RIBOS, kinetodynamic analysis is done using a simple fluiddynamic analysis model for the warter flow over the sensor support surface instead of difficult fluid dynamic analysis. Simultaneously the structural static analysis is done to obtain the optimum structural condition. The minimum thickness (0.8cm) of the RIROB housing is obtained for the safe design of RIROB. The kinetodynamic analysis of RIROB. The kinetodynamic analysis of RIROB is done using ADAMS and the static structural analysis of RIROB is done using NISA.

• 대한기계학회논문집A
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• 제29권2호
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• pp.201-213
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• 2005

The automotive door has a large finite element model in analysis and many design requirements such as stiffness, natural frequency, side intrusion, etc. Thus, various related governing equations should be solved for systematic analysis and design. Because each governing equation has different characteristics, it is almost impossible to solve them simultaneously. Instead, they are separately handled and the analysis results are incorporated into the design separately. Currently, the design is usually conducted by trials and errors with engineering intuition in design practice. In this research, MDO methods are proposed to solve the problems that share design variables in disciplines. The idea is from the Gauss-Seidel type method for multi-discipline analysis. The developed methods show stable convergence and the weight of the door is reduced by fifteen percent.

• 한국자동차공학회논문집
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• 제14권1호
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• pp.1-7
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• 2006

This paper presents an ASF (Aluminum Space Frame) BIW optimal design, which minimizes the weight and satisfies multi-disciplinary constraints such as the static stiffness, vibration characteristics, low-speed crash, high-speed crash and occupant protection. As only one cycle CPU time for all the analyses is 12 hours, the ASF design having 11-design variable is a large scaled problem. In this study, ISCD-II and conservative least square fitting method is used for efficient RSM modeling. Then, ALM method is used to solve the approximate optimization problem. The approximate optimum is sequentially added to remodel the RSM. The proposed optimization method used only 20 analyses to solve the 11-design variable design problem. Also, the optimal design can reduce the] $15\%$ of total weight while satisfying all of the multi-disciplinary design constraints.

• 한국항공우주학회지
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• 제31권5호
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• pp.25-36
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• 2003

항공기 설계는 설계 전 분야에 걸친 설계 요소들을 모두 고려한 통합적 환경에서 이루어 져야 한다. 이를 위해 각 분야간의 데이터 공유 및 일관성, 무결성, 최신성 등이 요구되며 이러한 요구사항을 만족할 수 있는 효율적인 데이터베이스의 설계가 필요하다. 데이터베이스의 설계 순기는 저장되고 관리해야 할 데이터의 분석, E-R Diagram의 작성, 테이블 사상으로 이루어진다. 본 연구에서는 상용의 Oracle 8i 데이터베이스 관리시스템을 이용하여 데이터베이스를 설계, 구축하였다. MDF(MultiDisplinary Feasible), IDF(Individual Discipline Feasible), CO(Collaborative Optimization) 등의 MDO(Multidisciplinary Design Optimization) 기법을 적용할 수 있는 데이터베이스의 설계과정을 정립하고, 간단한 수치예제와 무인전투기 최적화 설계 등의 예제를 통하여 통합환경에서의 데이터베이스 설계 방법의 타당성을 검증하였다.