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鐵筋콘크리트 기둥-보 接合部의 炭素纖維 補强에 따른 構造的 特性에 關한 實驗的 硏究
김정섭,박덕규,조창호,김광섭,김하진 조선대학교 국토개발연구소 1997 국토개발연구 Vol.17 No.1
When reinforced concrete structures have a horizontal load, the strength capacity of the structure is not perfect. And when it is damaged by an earthquake load, it's weakness is more serious. Consequently if the structure is to be reused it reqires repair or restrengthening. This study investigates the structural capacity obtained in the repair-restrengthening of beams under static loads and beam-column joints under dynamic loads in reinforced concrete structures made with the repair-restrengthening method. Accordingly, a total of 18 tests were conducted and results obtained in tests which included test joints of beam-column. The results obtained were then compared and analyzed for hysteretic behavior, maximum stiffness, destruction, shearing transformation, energy dispersion capacity, structural capacity and problems of repair-restrengthening. The conclusions were as follows: The experimental variable which showed the most excellent reinforcement properties was the test in which carbon fiber laminate was attached with Super Found and it demonstrated the highest strength value. While cracks in the test objects under static loads were distributed widely across more concentrated at the joints of the beam-columns. Accordingly the development of repair-restrengthening materials and adhesives that do not show brittle fractures and that have ductile behavior characteristics should be promoted when dynamic load characteristics as occur in earthquakes are a factor to be considered.
Exact Solutions of Fuzzy Goal Programming Problems using α-cut Representations
Dug Hun Hong,Chang Ha Hwang 한국데이터정보과학회 2004 한국데이터정보과학회지 Vol.15 No.2
Ramik[7] introduced a fuzzy goal programming (FGP)problem that generalizes a standard goal programming (GP) problem with fuzzy alternatives, fuzzy objective functions and fuzzy deviation functions for measuring the deviation between attained and desired goals being fuzzy. However, it is known that this FGP tends to produce an approximate solution since it uses an approximate fuzzy multiplication operation to solve the resultant fuzzy model. In this paper, we show that this FGP sometimes leads to the wrong decision. We also propose a procedure that gets the exact solution to overcome these problems. The method is based on T<sub>M</sub>(min norm)-based fuzzy operations using α-cut representations. We consider the same example as used in Ramik and investigate how our procedures are compared to Ramik`s.
Exact Solutions of Fuzzy Goal Programming Problems using $\alpha-cut$ Representations
Hong, Dug-Hun,Hwang, Chang-Ha Korean Data and Information Science Society 2004 한국데이터정보과학회지 Vol.15 No.2
Ramik[7] introduced a fuzzy goal programming (FGP)problem that generalizes a standard goal programming (GP) problem with fuzzy alternatives, fuzzy objective functions and fuzzy deviation functions for measuring the deviation between attained and desired goals being fuzzy. However, it is known that this FGP tends to produce an approximate solution since it uses an approximate fuzzy multiplication operation to solve the resultant fuzzy model. In this paper, we show that this FGP sometimes leads to the wrong decision. We also propose a procedure that gets the exact solution to overcome these problems. The method is based on $T_M$ (min norm)-based fuzzy operations using $\alpha-cut$ representations. We consider the same example as used in Ramik and investigate how our procedures are compared to Ramik's.
문덕희,하재훈 한국경영과학회 2003 한국경영과학회 학술대회논문집 Vol.- No.1(1)
자동차 엔진블럭을 생산하는 라인은 대표적인 흐름생산 방식의 가공라인이다. 자동차 제조업체에서는 새로운 차종을 개발하면 엔진가공라인을 새롭게 설계해야 할 필요성이 생긴다. 엔진가공라인을 설계하기 위해서는 연간생산목표량을 비롯한 여러 가지 요인들을 고려하게 되는데 설계단계에서 발생하는 오류는 향후 라인설치가 완료되어 양산에 들어가면 많은 문제점을 발생시킨다. 따라서 초기 설계안이 확정되면 검증절차를 거치게 되는데 이때 가장 유용한 도구가 시뮬레이션이다. 따라서 본 논문에서는 자동차 엔진블럭 가공라인 설계를 할 때 반영해야할 요인들과 설계안 검토 시 고려해야할 요인들을 고찰하고, 시뮬레이션을 이용한 실제 검증사례를 소개하고자 한다.