• 대한기계학회논문집A
• /
• 제30권7호
• /
• pp.787-793
• /
• 2006

Recently kriging model has been widely used in the DACE (Design and Analysis of Computer Experiment) because of prominent predictability of nonlinear response. Since DACE has no random or measurement errors contrast to physical experiment, space filling experimental design that distributes uniformly design points over whole design space should be employed as a sampling method. In this paper, we examine the maximum entropy experimental design that reveals the space filling strategy in which defines the maximum entropy based on Gaussian or exponential. The influence of these two correlation functions on space filling design and their model parameters are investigated. Based on the exploration of numerous numerical tests, enhanced maximum entropy design based on exponential correlation function is suggested.

• 대한기계학회:학술대회논문집
• /
• 대한기계학회 2003년도 추계학술대회
• /
• pp.1846-1851
• /
• 2003

Approximate optimization has become popular in engineering field such as MDO and Crash analysis which is time consuming. To accomplish efficient approximate optimization, accuracy of approximate model is very important. As surrogate model, Kriging have been widely used approximating highly nonlinear system . Because Kriging employs interpolation method, it is adequate for deterministic computer simulation. Because there are no random errors and measurement errors in deterministic computer simulation, instead of classical DOE ,space filling experiment design which fills uniformly design space should be applied. In this work, various space filling designs such as maximin distance design, maximum entropy design are reviewed. And new design improving maximum entropy design is suggested and compared.

• 한국CDE학회논문집
• /
• 제22권1호
• /
• pp.59-69
• /
• 2017

Internal capacity of a refrigerator is an important indicator for design and purchasing criteria. The components facing the internal space may have holes or gaps between parts. In traditional way, design engineers manually remodeled the parts to fill the holes and the gaps for enclosed boundary of the internal space. Then they calculated internal volume by subtracting the assembly of parts from its enclosing volume. However, filling holes and gaps is not an automated process requiring a plenty of labor and time. In this research, we have developed a voxel-based method to estimate the internal volume of a refrigerator automatically. It starts transforming all components facing the interior space into voxels and fills all holes and gaps automatically by the developed hole-filling algorithm to form a completely closed boundary of the assembly. Then, it identifies the boundary voxels that are facing to the internal voxels with any part of the component. After getting the intersection points between the boundary voxels and the surfaces of components, it generates the boundary surface of triangular facets with the intersection points. Finally, it estimates the internal volume by adding volume of each tetrahedron composed of a triangle of boundary surface and an arbitrary point.

• 한국추진공학회지
• /
• 제21권2호
• /
• pp.102-110
• /
• 2017

발사대시스템의 산화제공급계(Liquid Oxygen Filling System)는 발사체의 추진제(Propellant) 중 연료의 연소를 위한 산화제(Oxidizer)로 사용되는 액체산소(Liquid Oxygen)를 저장하고, 발사체 요구조건에 맞게 공급하는 하는 설비이다. 본 논문에서는 한국형발사체(KSLV-II) 발사대시스템 상세설계(Critical Design, 2015년 8월에서 2016년 4월, 8개월) 동안 수행된 한국형발사체 발사대시스템 추진제 공급설비의 산화제공급계 설계 내용을 주요 설비 구성에 대하여 구조적 관점으로 소개한다.

• 한국추진공학회:학술대회논문집
• /
• 한국추진공학회 2017년도 제48회 춘계학술대회논문집
• /
• pp.14-20
• /
• 2017

본 논문은 한국형발사체(KSLV-II) 발사대시스템 상세설계 단계 중 수행된 산화제 충전 운용 설계를 검증하고자, 나로호 1차 비행 시험 실증 자료과 해당 설계 모델링 유동 해석 결과를 비교하였다. 나로호 비행 시험에 적용되었던 공급 조건과 충전모드에 따른 유량조절밸브 개도와 구동 절차 조건을 한국형발사체 발사대시스템 상세설계 모델링에 적용하여, 실증 자료와 모델링의 산화제 공급 유량값과 주요 압력값을 비교하였다.

• Journal of the Korean Statistical Society
• /
• 제31권3호
• /
• pp.277-299
• /
• 2002

Most statistical designs, such as orthogonal designs and optimal designs, are based on a specific statistical model. It is very often that the experimenter does not completely know the underlying model between the response and the factors. In computer experiments, the underlying model is known, but too complicated. In this case we can treat the model as a black box, or model to be unknown. Both cases need a space filling design. The uniform design is one of space filling designs and seeks experimental points to be uniformly scattered on the domain. The uniform design can be used for computer experiments and also for industrial experiments when the underlying model is unknown. In this paper we shall introduce the theory and method of the uniform design and related data analysis and modelling methods. Applications of the uniform design to industry and other areas are discussed.

• 한국시뮬레이션학회논문지
• /
• 제22권3호
• /
• pp.15-23
• /
• 2013

공학설계분야에서 시뮬레이션 모델을 이용한 실험은 매우 중요한 역할을 한다. 그러나 최적의 설계 파라미터를 구하기 위한 시뮬레이션 실험은 많은 실행시간과 자원의 소요를 필요로 한다. 이를 극복하는 방안으로 입력 변수와 성능척도 간의 관계를 표현한 메타모형이 효과적으로 이용된다. 메타모형을 수립하기 위해서는 샘플 시나리오들을 입력으로 하는 시뮬레이션 실행이 요구된다. 이때 샘플 시나리의 수와 질이 메타 모형을 수립하는데 걸리는 시간과 메타모형의 정확성을 결정한다. 공간채움 특성은 샘플 시나리오들의 질을 결정하는 중요한 조건이 된다. 이 논문은 maxmin, Audze-Eglais, centered L2-discrepancy의 3가지 공간채움 척도에 기초한 샘플 시나리오 생성 방법을 제안하고, 실험을 통해 이들 생성방법에 대한 성능을 분석한 결과를 논의한다.

• 설비공학논문집
• /
• 제23권10호
• /
• pp.687-698
• /
• 2011

In this study, it was analyzed by a numerical analysis that plan/design considerations for ensuring the spectator safety of large arena audiences in a fire emergency evacuation plan. The latest issue, the 'performance-based design', fire and evacuation plan is important. But nowadays 'Specification-based design' is in common. In evacuation simulation, congestion of exit and aisle is ignored because only evacuation time of large-space is mainly analyzed. In smoke flow,'smoke filling effect' tends to be overrated. From now on, when design a field house, it is needed not 'smoke filling effect' and 'large-space evacuation' analysis, but analyzing 'whole building evacuation time' for ensuring fire evacuation safety of spectator.

• 응용통계연구
• /
• 제25권3호
• /
• pp.485-501
• /
• 2012

This research is to find a design D that minimizes forecast variance in d dimensions over the candidate space ${\chi}$. We want a robust design since we may not know the specific covariance structure. We seek a design that minimizes a coverage criterion and hope that this design will provide a small forecast variance even if the covariance structure is unobservable. The details of an exchange or swapping algorithm and several properties of the parameters of coverage criterion with the unknown correlation structures are discussed.

• 대한기계학회논문집A
• /
• 제30권6호
• /
• pp.722-727
• /
• 2006

Bone fracture healing is one of the important topics in biomechanics, demanding computation simulations due to the difficulty of obtaining experimental or clinical results. In this study, we adopt the design space optimization method which was established by the authors as a tool for the simulation of bone growth using its evolutionary characteristics. As the mechanical stimulus, strain energy density is used. We assume that bone tissues over a threshold strain energy density will be differentiated and bone tissues below another threshold will be resorbed. Under compression and torsion as loadings, the filling process of the defect is well illustrated following the given mechanical criterion. It is shown that the design space optimization is an excellent tool for simulating the evolutionary process of bone growth, which has not been possible otherwise.