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모델축소법을 이용한 교각-차량 충돌변위 예측 및 직접충돌해석법과의 비교연구
이재하,김경진,정유석,김우석,Lee, Jaeha,Kim, Kyeongjin,Jeong, Yoseok,Kim, Wooseok 한국전산구조공학회 2015 한국전산구조공학회논문집 Vol.28 No.6
미국 AASHTO LRFD(AASHTO, 2012)나 국내의 도로교설계기준(2012)의 차랑충돌에 대한 교각설계기준을 참조하면 교각 설계 시 차량충돌에 대해 정적인 하중을 고려하도록 제시하고 있다. 한편 2003년 미국 네브래스카 주에 트럭이 교각에 충돌하여 교각 및 교량 상부구조가 붕괴되는 사고가 발생하는 등 차량충돌에 의한 교량붕괴사고는 홍수에 의한 교량붕괴사고에 이은 두 번째 요인으로 분류되기도 한다. 화물차량의 대형화와 도로시스템의 개선으로 인하여 이러한 사고가 발생할 가능성이 중가하고 있다고 볼 수 있다. 본 연구에서는 교각 설계시 차량충돌에 대한 동적 해석을 수행하게 되면 많은 비용과 시간이 소요되어 실용적인 측면에서 연구결과가 쉽게 반영되지 못하고 있으므로 충돌해석 비용과 시간을 저감할 수 있는 모델축소법(model reduction)을 이용한 해석방법을 개발하였으며 그 효용성을 최종변위에 대해 직접충돌해석결과와 비교함으로써 평가하였다. Current design codes such as AASHTO LRFD or Korean Highway Bridge Design Code recommend of using static force for designing bridge column against vehicle collisions. However, there was an accident that the bridge was collapsed shortly after vehicle impact on bridge pier in Nebraska(near Big Spring, 2003). It was found that the second largest cause of bridge collapse is collision after hydraulic causes. It can be thought that the possibility of truck-bridge collision are getting increasing as the size of truck increases and traffic condition are becoming improved. However, dynamic behavior under the impact loading seldom considered in bridge design procedure due to computational cost and time. In this study, in order to reduce the computational cost for dynamic impact analysis, model reduction method was developed. Obtained results of residual displacement were compared with the results of direct impact simulations.
퍼지논리를 이용한 수평 머시닝 센터의 열변형 오차 모델링
이재하,이진현,양승한,Lee, Jae-Ha,Lee, Jin-Hyeon,Yang, Seung-Han 대한기계학회 2000 大韓機械學會論文集A Vol.24 No.10
As current manufacturing processes require high spindle speed and precise machining, increasing accuracy by reducing volumetric errors of the machine itself, particularly thermal errors, is very important. Thermal errors can be estimated by many empirical models, for example, an FEM model, a neural network model, a linear regression model, an engineering judgment model, etc. This paper discusses to make a modeling of thermal errors efficiently through backward elimination and fuzzy logic strategy. The model of a thermal error using fuzzy logic strategy overcomes limitation of accuracy in the linear regression model or the engineering judgment model. It shows that the fuzzy model has more better performance than linear regression model, though it has less number of thermal variables than the other. The fuzzy model does not need to have complex procedure such like multi-regression and to know the characteristics of the plant, and the parameters of the model can be mathematically calculated. Also, the fuzzy model can be applied to any machine, but it delivers greater accuracy and robustness.
고강도 콘크리트에 매입된 다월 철근의 구조 거동에 대한 실험적 분석
이재하 ( Lee Jaeha ),이성철 ( Lee Seong Cheol ),이경찬 ( Lee Kyoung Chan ),박상민 ( Park Sang Min ),정의석 ( Jeong Euiseok ) 한국구조물진단유지관리공학회 2017 한국구조물진단유지관리공학회 학술발표대회 논문집 Vol.21 No.1
In the sliding slab track of railway bridge, a lateral support block is used to control the lateral displacement. Therefore, it is important to analyze the behavior of dowel rebar and the lateral support block of the sliding slab track. In this study, high strength concrete and steel rebar was selected to analyze the behavior of dowel rebar and shear behavior of high strength dowel rebar and the lateral support block were compared to the equations developed by Soroushian et al. (1986) and CEB-FIP (2010).