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신경망을 이용한 흙막이 지보공공법 선정모델 개발에 관한 연구
김재엽(Kim Jae-Youp),서장우(Soe Jang-Woo),강경인(Kang Kyung-In) 대한건축학회 2003 大韓建築學會論文集 : 構造系 Vol.19 No.5
As a construction project in urban area tends to be high-rise and huge, the importance of the project's underground work, in terms of the cost and the schedule, is increasing gradually. The selection of a suitable shoring method is most important in this underground work. However, in Korea, because the design and the construction parts of the shoring works are separated, many changes of design have occurred and the changes have effects on the cost and the schedule of the project. In this study, we have suggested a decision model for shoring method that can be used to determine the suitable method in planning and design phase of a project. Based on history data, a neural network model was proven to be efficient. The tests of the model for decision of suitable shoring method by using data which were not used in the learning process of neural network showed that accuracy of the selections is up to 77%.
유전자 알고리즘 모델을 활용한 양중계획 합리화 방안 - 타워크레인을 중심으로 -
이웅균(Lee Ung-Kyun),김재엽(Kim Jae-Youp),서덕석(Seo Deok-Seok),강경인(Kang Kyung-In) 대한건축학회 2004 大韓建築學會論文集 : 構造系 Vol.20 No.2
The selection of the tower crane with the stock yard requires an organized study due to a large tendency of relying upon experience and intuition. Therefore, this paper proposes a prototype model using the genetic algorithm, the most used method lately. The transportation distance is considered as the key factor in location selection of the tower crane, applying the relationship between the length of the tower crane boom and the main gate as the constrain factor. Genetic algorithm was used to select a location of the tower crane in relation with the stock yard, and case-studied. In this case, stock yard was located the same, whereas that of the tower crane resulted in 7m difference due to constructability. Development of more advanced model and establishment of system should be made allowing more systematical construction management.
유전 알고리즘을 이용한 시간-비용 상관관계 (Time-Cost Trade-off) 분석 모델에 관한 연구
신윤석(Shin Yoon-Seok),김재엽(Kim Jae-Youp),서덕석(Seo Deok-Seok),강경인(Kang Kyung-In) 대한건축학회 2004 大韓建築學會論文集 : 構造系 Vol.20 No.8
The decision of appropriate cost and duration is one of the most important things which effect on project's success at<br/> early stage. This is so-called time-cost trade-off problem, which has been studied extensively. However, this problem is<br/> difficult and complex because of taking consideration into reduction of duration and cost simultaneously. This paper<br/> proposes a model for time-cost trade-off optimization by using genetic algorithms, which is more effective enough to<br/> solve large-scale CPM network than previous methods. As a result of the research, the model of time-cost trade-off by<br/> using genetic algorithms is effective in finding time-cost trade-off optimization