• 한국공간정보시스템학회:학술대회논문집
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• 한국공간정보시스템학회 2004년도 춘계 학술발표회 논문집 제1권1호(통권1호)
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• pp.43-52
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• 2004

The objective of this study is the development of size, shape and topology discrete optimum design algorithm which is based on the genetic algorithms. The algorithm can perform both shape and topology optimum designs of trusses. The developed algerian was implemented in a computer program. For the optimum design, the objective function is the weight of trusses and the constraints are stress and displacement. The basic search method for the optimum design is the genetic algorithms. The algorithm is known to be very efficient for the discrete optimization. The genetic algorithm consists of genetic process and evolutionary process. The genetic process selects the next design points based on the survivability of the current design points. The evolutionary process evaluates the survivability of the design points selected from the genetic process. The efficiency and validity of the developed size, shape and topology discrete optimum design algorithms were verified by applying the algorithm to optimum design examples

• 한국공간구조학회논문집
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• 제2권3호
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• pp.93-102
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• 2002

The objective of this study is the development of size, shape and topology discrete optimum design algorithm which is based on the genetic algorithms. The algorithm can perform both shape and topology optimum designs of trusses. The developed algorithm was implemented in a computer program. For the optimum design, the objective function is the weight of trusses and the constraints are stress and displacement. The basic search method for the optimum design is the genetic algorithms. The algorithm is known to be very efficient for the discrete optimization. The genetic algorithm consists of genetic process and evolutionary process. The genetic process selects the next design points based on the survivability of the current design points. The evolutionary process evaluates the survivability of the design points selected from the genetic process. The efficiency and validity of the developed size, shape and topology discrete optimum design algorithms were verified by applying the algorithm to optimum design examples

• 한국공간구조학회논문집
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• 제5권3호
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• pp.83-89
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• 2005

이 논문은 여러 개의 집중하중을 받는 깊은 보의 최적위상을 조사 분석하고 그 결과를 기술하였다. 본 연구에서는 최소화해야하는 변형에너지를 목적함수로 가정하고 구조물의 초기부피를 제약함수로 사용하였다. 물질내부에 존재하는 구멍의 크기를 조절하기 위하여 최적정기준법을 바탕으로 한 크기조절알고리듬을 도입하였다. 수치해석을 통하여 길은 보의 최적위상과 관련한 위상최적화 파라미터의 민감도를 조사하였고, 필터링과정이 최적위상에 끼치는 영향을 심도 있게 조사하였다. 수치해석결과로부터 깊은 보의 최적위상은 최적화 파라미터와 깊은 연관되어 있고 필터링과정이 최적위상을 찾는데 매우 중요한 역할을 하는 것으로 나타났다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -3
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• pp.1371-1374
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• 2002

This paper compares four network con-figurations for using as the logical topology in multi- hop wavelength division multiplexing (WDM) networks. The regular network configurations studied in this paper axe ShuffleNet, de Bruijn graph, hypercube, and Man-hattan street network. Instead of using the weight mean hop distance of node placement problem for comparing optimum logical topology, we introduce a new objective function that includes h and the network cost. It can be seen that the network cost strongly depends on the logical topology selected for the implementation of the network. The objective of this paper is to find an optimum logical topology for WDM networks that gives low as well as low network cost.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2005년도 추계종합학술대회
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• pp.123-126
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• 2005

STP는 토폴로지 구성방법에 따라 네트워크의 성능이 달라진다. 따라서 효율적인 네트워크 환경을 위하여 최적의 토폴로지를 구성할 필요가 있다. 본 논문은 이더넷에서 스위치들 사이의 효율적인 네트워크 구축을 위한 최적의 토폴로지 구성방법을 제안하였다 루트스위치에서 송신한 프레임을 같은 도메인 안에 있는 스위치들이 프레임을 수신하는 시간을 수학적 모델로 계산하여 최적의 토폴로지 구성 방법을 도출하였다. 그리고 최적의 토폴로지에서의 루트 스위치의 위치에 따른 성능을 분석하였다. 성능 분석 결과 정방형으로 설계된 망에서 루트스위치가 중앙에 위치하게 설계하는 것이 효과적이라는 결론을 얻을 수 있었다.

• 한국강구조학회 논문집
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• 제13권6호
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• pp.673-681
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• 2001

본 연구에서는 다설계 변수와 다제약 조건으로 구성된 단면, 형상 및 위상을 동시에 고려하는 구조물의 이산화 최적설계문제를 유전자알고리즘을 이용하여 체계화하였다. 본 연구에서는 유전자알고리즘의 적용방법을 초기화절차, 진화적 절차 그리고 유전적 절차로 구성하였다. 초기화절차에서는 한 세대의 개체 수만큼 염색체를 생성하고 진화적 절차는 구조해석의 결과를 분석하여 적합도를 계산하였다. 그리고 유전적 절차는 번식과 교배 및 돌연변이를 통하여 다음세대의 유전자를 생성하게된다. 이렇게 진화적 절차와 유전적 절차를 반복 수행하여 최적 해를 탐색한다. 본 연구에서는 설계자가 궁극적 목표로 하는 구조물의 응력 해석과 단면, 형상 및 위상최적설계를 동시에 수행할 수 있는 이산화 최적설계프로그램을 개발하고, 설계 예를 들어 비교 고찰하였다.

• 한국공간구조학회논문집
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• 제24권1호
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• pp.57-64
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• 2024

This study numerically compares optimum solutions generated by element- and node-wise topology optimization designs for free vibration structures, where element-and node-wise denote the use of element and nodal densities as design parameters, respectively. For static problems optimal solution comparisons of the two types for topology optimization designs have already been introduced by the author and many other researchers, and the static structural design is very common. In dynamic topology optimization problems the objective is in general related to maximum Eigenfrequency optimization subject to a given material limit since structures with a high fundamental frequency tend to be reasonable stiff for static loads. Numerical applications topologically maximizing the first natural Eigenfrequency verify the difference of solutions between element-and node-wise topology optimum designs.

• Wind and Structures
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• 제18권5호
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• pp.497-510
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• 2014

Seismic and wind load performances of buildings are commonly improved by using bracing systems. In practice, standard bracing systems, such as X, Y, V, and K types are used. To determine the appropriate bracing type, the designer uses trial & error method among the standard bracings to obtain better results. However, using topology optimization yields more efficient bracing systems or new bracing can be developed depending on building and loading types. Determination of optimum bracing type for minimum deformation on a building under the effect of wind load is given in this study. A new bracing system is developed by using topology optimization. Element removal method is used to determine and remove the comparatively inefficient materials. Optimized bracing is compared with proposed bracing types available in the related literature. Maximum deformation value of building is used as performance indicator to compare effectiveness of different bracings to resist wind loads. The proposed bracing, yielded 99%, deformation reduction compared to the unbraced building.

• Smart Structures and Systems
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• 제16권4호
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• pp.607-621
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• 2015

Wireless sensor technology has been opened up numerous opportunities to advanced health and maintenance monitoring of civil infrastructure. Compare to the traditional tactics, it offers a better way of providing relevant information regarding the condition of building structure health at a lower price. Numerous domestic buildings, especially longer-span buildings have a low frequency response and challenging to measure using deployed numbers of sensors. The way the sensor nodes are connected plays an important role in providing the signals with required strengths. Out of many topologies, the dense and sparse topologies wireless sensor network were extensively used in sensor network applications for collecting health information. However, it is still unclear which topology is better for obtaining health information in terms of greatest components, node's size and degree. Theoretical and computational issues arising in the selection of the optimum topology sensor network for estimating coverage area with sensor placement in building structural monitoring are addressed. This work is an attempt to fill this gap in high-rise building structural health monitoring application. The result shows that, the sparse topology sensor network provides better performance compared with the dense topology network and would be a good choice for monitoring high-rise building structural health damage.

• 한국정밀공학회지
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• 제14권3호
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• pp.89-97
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• 1997

A genetic algorithm (GA) is a stochastic direct search strategy that mimics the process of genetic evolution. The GA applied herein works on a population of structural designs at any one time, and uses a structured information exchange based on the principles of natural selection and wurvival of the fittest to recombine the most desirable features of the designs over a sequence of generations until the process converges to a "maximum fitness" design. Principles of genetics are adapted into a search procedure for structural optimization. The methods consist of three genetics operations mainly named selection, cross- over and mutation. In this study, a method of finding the optimum topology of truss/beam structure is pro- posed by using the GA. In order to use GA in the optimum topology problem, chromosomes to FEM elements are assigned, and a penalty function is used to include constraints into fitness function. The results show that the GA has the potential to be an effective tool for the optimal design of structures accounting for sizing, geometrical and topological variables.variables.