• 대한토목학회논문집
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• 제28권6A호
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• pp.835-842
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• 2008

응답면 기법은 수치적 효율성을 증대시키기 위해 구조 신뢰성 해석에 널리 적용되고 있다. 그러나 응답면 기법을 사용한 대형구조물의 신뢰성 해석에는 아직도 과도한 해석시간이 요구되고 비선형성이 큰 한계상태에 대해서는 확률변수에 대한 신뢰도지수의 민감도 측면에서 많은 오차가 발생한다. 그러므로, 이 연구에서는 이동최소제곱근사법을 적용한 새로운 응답면 기법을 제안한다. 기존의 응답면 기법에 사용되어온 최소제곱근사법은 표본점들에 동일한 가중값을 부여하여 응답면 함수의 계수를 결정한다. 반면에 이동최소제곱근사법은 설계점에 가까운 표본점들에 더 높은 가중값을 부여함으로써 설계점 근처에서 한계상태식에 더 가까운 응답면 함수를 제공하여 정확도를 증대시킨다. 이동최소제곱근사법을 이용한 신뢰성 해석 절차를 살펴보면, 먼저 선형 응답면 함수를 생성하여 설계점이 있을 영역을 결정한 다음, 이 영역에서 추출된 표본점들을 이용하여 2차 응답면 함수를 생성한다. 그 다음 단계에서는 기존에 추출된 표본점에 연속적으로 하나의 표본점을 더해가면서 응답면 함수를 더욱더 정확히 근사시킨다. 제안된 방법의 효율성을 검토하기 위해서 기존 연구자에 의해 제안된 수치적 문제 및 트러스 문제들에 대하여 신뢰성 해석을 수행하였다. 그 결과 제안된 방법은 민감도를 포함한 정확성 뿐만 아니라 계산 효율성도 증대시킴을 확인할 수 있었다.

• 대한기계학회논문집A
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• 제29권3호
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• pp.369-386
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• 2005

Various aspects of structural optimization techniques under transient loads are extensively reviewed. The main themes of the paper are treatment of time dependent constraints, calculation of design sensitivity, and approximation. Each subject is reviewed with the corresponding papers that have been published since 1970s. The treatment of time dependent constraints in both the direct method and the transformation method is discussed. Two ways of calculating design sensitivity of a structure under transient loads are discussed - direct differentiation method and adjoint variable method. The approximation concept mainly focuses on re- sponse surface method in crashworthiness and local approximation with the intermediate variable Especially, as an approximated optimization technique, Equivalent Static Load method which takes advantage of the well-established static response optimization technique is introduced. And as an application area of dynamic response optimization technique, the structural optimization in flexible multibody dynamic systems is re- viewed in the viewpoint of the above three themes

• 대한기계학회논문집
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• 제19권3호
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• pp.806-819
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• 1995

A study of radiative heat heat transfer has been done in the non-orthogonal coordinate system utilizing the finite volume method and the P.1 approximation. Radiation of absorbing, emitting and scattering media in a concentric annulus has been solved using the non-orthogonal coordinate and the calculations were compared with the existing results. The results obtained from the analysis using the finite volume method are in good agreement with the existing calculations for all optical thicknesses. It was also shown that for only optically thick cases, P-1 approximation can be used in a non-orthogonal coordinate. Convective heat transfer analysis has been carried out to obtain the temperature fields in a cross flow around a circular cylinder and the finite volume method was applied in the non-orthogonal coordinate system to analyze radiative heat transfer. Effects of the optical thickness, the ratio of the surface temperature of the cylinder tot he free stream temperature, and the scattering albedo on radiation have been presented.

• 한국통신학회논문지
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• 제18권4호
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• pp.549-560
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• 1993

접지면이 있는 무한 평판의 유전체상에 놓인 점 전기전류원 문제에서 야기되는 마이크로스트립 표면 dyadic Green 함수에 대한 간단하면서도 정확한 근사표현식이 본 논문에서 개발된다. 이 근사표현식은 본 논문에서 소개하는 새로운 방법에 의해서 유도된 공간파와 표면파 그리고 전이지역에서 이들간의 결합을 나타내는 전이함수를 모두 포함하고 있으며, 유전체 두께가 $0.04\pi$($\pi$는 자유공간파장)나 되는 두꺼운 경우에도 점원에서 $0.1\pi$ 떨어진 가까운 위치에서까지 유용하므로 실제 마이크로스트립 안테나 어레이설계시 안테나 소자간 전자기적 결합에 의한 어레이 안테나의 특성저하나 마이크로웨이브회로 또는 초고속의 디지탈 프린트 회로기판 설계시 연결선 특성임피던스와 연결선간의 crosstalk에 의한 회로성능 저하 문제를 해석하는데 아주 유효하다. 이 근사식에 의한 상호임피던스 수치해석 결과와 함께 계산에 소요되는 CPU 시간을 예시함으로써 본 근사식의 정확성 및 효율성을 입증하여 보았다.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2002년도 추계학술대회 논문집
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• pp.376-380
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• 2002

This research presents modeling of a functional surface which is a constructed free-formed surface. The modeling introduced in this paper adopts polynomial regression that is utilizing approximating technique. The measured data are obtained from measuring with Coordinate Measuring Machine. This paper introduces efficient methods of Reverse Engineering using Polynomial Regression.

• Journal of electromagnetic engineering and science
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• 제8권3호
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• pp.100-109
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• 2008

The finite volume time domain(FVTD) technique faces serious limitations in simulating electromagnetic scattering at high frequencies due to requirements related to discretization. A modified FVTD method is proposed for electrically large, perfectly conducting scatterers by partially incorporating a time-domain physical optics(PO) approximation for the surface current. Dominant specular returns in the modified FVTD method are modeled using a PO approximation of the surface current allowing for a much coarser discretization at high electrical sizes compared to the original FVTD scheme. This coarse discretization can be based on the minimum surface resolution required for a satisfactory numerical evaluation of the PO integral for the scattered far-field. Non-uniform discretization and spatial accuracy can also be used in the context of the modified FVTD method. The modified FVTD method is aimed at simulating electromagnetic scattering from geometries containing long smooth illuminated sections with respect to the incident wave. The computational efficiency of the modified FVTD method for higher electrical sizes are shown by solving two-dimensional test cases involving electromagnetic scattering from a circular cylinder and a symmetric airfoil.

• 한국CDE학회논문집
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• 제5권2호
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• pp.127-135
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• 2000

Emergent computing paradigms such as genetic algorithms have found increased use in problems in engineering design. These computational tools have been shown to be applicable in the solution of generically difficult design optimization problems characterized by nonconvexities in the design space and the presence of discrete and integer design variables. Another aspect of these computational paradigms that have been lumped under the bread subject category of soft computing, is the domain of artificial intelligence, knowledge-based expert system, and machine learning. The paper explores a machine learning paradigm referred to as teaming classifier systems to construct the high-quality global function approximations between the design variables and a response function for subsequent use in design optimization. A classifier system is a machine teaming system which learns syntactically simple string rules, called classifiers for guiding the system's performance in an arbitrary environment. The capability of a learning classifier system facilitates the adaptive selection of the optimal number of training data according to the noise and multimodality in the design space of interest. The present study used the polynomial based response surface as global function approximation tools and showed its effectiveness in the improvement on the approximation performance.

• 대한조선학회논문집
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• 제42권5호
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• pp.528-533
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• 2005

A mono-static high frequency acoustic target strength analysis scheme was developed for underwater targets, based on the far-field Kirchhoff approximation. Au adaptive triangular beam method and a concept of virtual surface were adopted for considering the effect of hidden surfaces and multiple reflections of an underwater target, respectively. A test of a simple target showed that the suggested hidden surface removal scheme is valid. Then some numerical analyses, for several underwater targets, were carried out; (1) for several simple underwater targets, like sphere, square plate, cylinder, trihedral corner reflector, and (2) for a generic submarine model, The former was exactly coincident with the theoretical results including beam patterns versus azimuth angles, and the latter suggested that multiple reflections have to be considered to estimate more accurate target strength of underwater targets.

• International Journal of Naval Architecture and Ocean Engineering
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• 제7권4호
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• pp.750-769
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• 2015

The geometry of engineering systems affects their performances. For this reason, the shape of engineering systems needs to be optimized in the initial design stage. However, engineering system design problems consist of multi-objective optimization and the performance analysis using commercial code or numerical analysis is generally time-consuming. To solve these problems, many engineers perform the optimization using the approximation model (response surface). The Response Surface Method (RSM) is generally used to predict the system performance in engineering research field, but RSM presents some prediction errors for highly nonlinear systems. The major objective of this research is to establish an optimal design method for multi-objective problems and confirm its applicability. The proposed process is composed of three parts: definition of geometry, generation of response surface, and optimization process. To reduce the time for performance analysis and minimize the prediction errors, the approximation model is generated using the Backpropagation Artificial Neural Network (BPANN) which is considered as Neuro-Response Surface Method (NRSM). The optimization is done for the generated response surface by non-dominated sorting genetic algorithm-II (NSGA-II). Through case studies of marine system and ship structure (substructure of floating offshore wind turbine considering hydrodynamics performances and bulk carrier bottom stiffened panels considering structure performance), we have confirmed the applicability of the proposed method for multi-objective side constraint optimization problems.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2001년도 춘계학술대회 논문집
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• pp.426-429
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• 2001

Many various products are manufactured which have sculptured surfaces recently. Constructing surface of these models is required technique called reverse engineering. In reverse engineering, a product which has sculptured surfaces is measured and we create surface model to acquire complete model data of object. Measured point data needs preprocess and sampling. Next a set of point data in a plane fit section curve. At last, surface is generated by fitting to section curves. Here we uses sweep surface. Sweep surface is compatible fitting CAD model to drawing. This paper discusses converting approximation of NURBS surface as a standard surface.