• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.4
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• pp.19-25
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• 2016

Engineering structures including civil infrastructures require a life-cycle cost and benefit during their service lives. The service life of a structure can be extended through appropriate inspection and maintenance actions. In general, this service life extension requires more life-cycle cost and cumulative benefit. For this reason, structure managers need to make a rational decision regarding the service life management considering both the cost and benefit simultaneously. In this paper, the probabilistic decision tool to determine the optimal service life based on cost-benefit analysis is presented. This decision tool requires an estimation of the time-dependent effective cost-benefit under uncertainty to formulate the optimization problem. The effective cost-benefit is expressed by the difference between the cumulative benefit and life-cycle cost of a deteriorating structure over time. The objective of the optimization problem is maximizing the effective cost-benefit, and the associated solutions are the optimal service life and maintenance interventions. The decision tool presented in this paper can be applied to any deteriorating engineering structure.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.22 no.3
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• pp.277-287
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• 2009

Recently, the high-strength steel of 400~600MPa tensile strength is producing in the country. Use of high-strength steel member in the design of high-rise buildings is expected to increase the efficiency of structural design in the aspect of structure material weight and cost, however it has been used only a narrow extent. No efficient design method to use high-strength steel in the design of high-rise buildings has been developed. Therefore, in this study structural cost optimization technique that can minimize the structural material cost of high-rise buildings using high-strength steels is developed. The efficiency of the technique is evaluated by comparing the experience-based design for 6 high-rise building examples. As a result, the proposed techniques can save 7~21% of structural material cost compared with experienced-based design. And also, the rough guideline for effective use of high-strength steels in the structural design of high-rise buildings is introduced on the basis of results.

• Proceedings of the Earthquake Engineering Society of Korea Conference
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• 2002.03a
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• pp.467-474
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• 2002

이 연구에서는 점탄성감쇠기가 설치된 구조시스템의 통합최적설계 방법을 제시하였다. 최적화를 위한 목적함수로는 구조시스템이 유발하는 사회적 비용을 의미하는 총 생애주기비용을 사용함으로써, 구조제어 시스템의 성능에 기반한 경제적 유익을 극대화하도록 하였다. 구조물의 층별 기둥 강성 및 점탄성감쇠기의 사용량 등을 설계변수로 하여 생애주기비용함수를 정의하였으며, 통합시스템을 동시에 최적화하기위한 방법으로 유전자 알고리즘을 적용하였다. 동일한 초기비용을 사용하며 통합최적설계를 수행하지 않은 설계를 통해 얻어진 지진응답과 비교한 결과, 제안하는 통합 설계방법은 보다 우수한 진동제어효과를 발휘하는 것으로 나타났다.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.22 no.1
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• pp.53-63
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• 2009

Use of high-strength steel members in building of high-rise buildings and large scale structures is expected to increase the effectiveness of structural design by reducing the weight and cost of structures. So far, high-strength steel members have been used in a very limited way because it is hard to select the proper strengths of steel members in a systematic way with the consideration of the structural cost. In this paper, therefore, a structural optimization technique based on Genetic algorithm is developed for effective use of high-strength steel members in structural design of high-rise buildings with the form of building frame system. The stability and efficiency of the technique is evaluated by using to a 35-story building. As a result, a stable and reliable optimal solution was obtained with a difference of 2.63% between individual and mean optimal structural costs.

• Computational Structural Engineering
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• v.28 no.4
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• pp.21-24
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• 2015

SIMULIA Tosca Structure를 이용한 열변형력 최적화는 개발 과정에서 터보차저를 한층 더 개선하는데 결정적인 역할을 합니다. 열변형력 최적화는 일단 민감도 연구를 통해 터보차저의 뚜렷한 상보적 효과를 파악하여 긍정적 영향을 활용하고 부정적 영향을 해소하는데 유용합니다. 그리고 나서 이와 같이 전역으로 최적화된 형상을 토대로 국부적 형상 최적화를 실시하여 개선의 여지가 남아 있는 부위를 세부적으로 개선할 수 있습니다. 이와 같이 더욱 효율적인 개발 과정을 통해 성능과 수명이 향상된 배기용 터보차저를 개발할 수 있습니다. 게다가 시뮬레이션 및 최적화 기술을 지속적으로 활용하면 시험과 초기 비용을 절약할 수 있습니다.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.05a
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• pp.289-292
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• 2003

인터넷이 발전함에 따라 네트워크 시스템의 토폴로지 설계에 관한 여러 가지 문제들에 대한 관심이 증가하고 있다. 이러한 네트워크의 토폴로지 구조는 서비스 센터, 터미널(사용자), 연결 케이블로 이루어져 있다. 근래에 이런 네트워크 시스템들은 사용자들로부터의 요구사항이 많아지고 있기에 주로 광케이블로 구축하는 경우가 점차 늘어나고 있다지만, 광케이블의 비판 비용을 고려하면 네트워크의 구조가 스패닝 트리(spanning tree)로 구축되어 지는 것이 바람직하다고 볼 수 있다. 네트워크 토폴로지 설계 문제들은 연결비용, 평균 메시지 지연, 네트워크 신뢰도 등과 같은 설계 기준들을 최적으로 만족하는 토폴로지를 탐색하는 것으로 정의될 수 있다. 최근에 유전자 알고리즘(GA)은 네트워크 최적화 문제, 조합 최적화 문제, 다목적 최적화 문제 등과 같은 관련된 분야에서 많은 연구들이 이루어지고 있으며 또한, 많은 실세계의 문제를 위한 최적화 기술로서 그 잠재력을 매우 주목 받고 있다. 본 논문에서는 연결비용, 평균 메시지 지연, 네트워크 신뢰도를 고려하여, 광케이블로 구성되어 지는 광대역통신 네트워크의 2목적 네트워크 토폴로지 설계 문제들을 풀기 위한 GA를 제안한다. 또한, 후보 네트워크 토폴로지 구조를 염색체(chromosome)로 표현하기 위해 Prtifer수(PN_와 클러스터 스트링으로 구성되어지는 새로운 엔코딩 방법도 제안한다. 마지막으로 수치예를 통해 제안한 GA의 성능을 평가할 것이다.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.05a
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• pp.66-66
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• 2004

중량은 항공기의 성능을 좌우하는 주요 변수로써, 최소의 중량 달성이 100여 년 전 라이트 형제가 최초의 비행을 성공한 후, 항공기 개발자들의 주요 관심사였다. 일반 구조물의 최적화를 통한 설계는 구조물의 강도를 유지하면서 중량절감, 비용절감을 위해 널리 사용되고 있다. 하지만, 현재 항공기 구조물에 대해서는 아직 최적화론 통한 설계가 널리 적용되지 않고 있다. 그래서, 항공기에서는 중량절감을 위해 가벼우면서 강도를 큰 알루미늄이 주재료로 사용되고 있다.(중략)

• Journal of the Computational Structural Engineering Institute of Korea
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• v.30 no.3
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• pp.265-274
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• 2017

This study presents a sustainable design method to optimize the embodied energy and $CO_2$ emission complying with the design code for reinforced concrete column. The sustainable design method effectively achieves the minimization of the environmental load and energy consumption whereas the conventional design method has been mostly focused on the cost saving. Failure of reinforced concrete column exhibits compressive or tensile failure mode against an external force such as flexure and compression; thus, optimization analyses are conducted for both failure modes. For the given sections and reinforcement ratios, the optimized sections are determined by optimizing cost, embodied energy, and $CO_2$ emission and various aspects of the sections are thoroughly investigated. The optimization analysis results show that 25% embodied energy and 55% $CO_2$ emission can be approximately reduced by 10% increase in cost. In particular, the embodied energy and $CO_2$ emission were more effectively reduced in the tensile failure mode rather than in the compressive failure mode. Consequently, it was proved that the sustainable design method effectively implements the concept of sustainable development in the design of reinforced concrete structure by optimizing embodied energy consumption and $CO_2$ emission.

• Journal of the Korean Society for information Management
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• v.18 no.3
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• pp.29-40
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• 2001

In this paper, we suggest a query optimization algorithm to select the optimal processing method of an extended boolean query on inverted files. There can be a lot of methods for processing an extended boolean query according to the processing sequence oh the keywords con tamed in the query, In this sense, the problem of optimizing an extended boolean query it essentially that of optimizing the keyword sequence in the query. In this paper, we show that the problem is basically analogous to the problem of finding the optimal join order in database query optimization, and apply the ideas in the area to the problem solving. We establish the cost model for processing an extended boolean query and develop an algorithm to filled the optimal keyword-processing sequence based on the concept of keyword rank using the keyword selectivity and the access costs of inverted file. We prove that the method selected by the optimization algorithm is really optimum, and show, through experiments, that the optimal method is superior to the others in performance We believe that the suggested optimization algorithm will contribute to the significant enhancement of the information retrieval performance.

• Journal of the Korea institute for structural maintenance and inspection
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• v.24 no.3
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• pp.26-38
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• 2020

Mixture design of self-compacting concrete is a typical multi-criteria decision making problem and conventional mixture designs are based on the low level engineering method like trials and errors through iteration method to satisfy the various requirements. This study concerns with performing the straightforward multiobjective design optimization of economic SCC mixture considering relative importances of the various requirements and cost-effectives of SCC. Total five requirements of 28day compressive strength, filling ability, segregation stability, material cost and mass were taken into consideration to prepare the objective function to be formulated in form of the weighted-multiobjective mixture design optimization problem. Economic SCC mixture computational design can be given in a rational way which considering material costs and the relative importances of the requiremets and from the result of this study it is expected that the development of SCC mixtue computational design and the consequent univeral concrete material design optimization methodology can be advanced.