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변형률 감지기를 이용한 복합재료 지능구조물의 변형형상예측
윤영복,조영수,이동건,황운봉,하성규,Yoon, Young-Bok,Cho, Young-Soo,Lee, Dong-Gun,Hwang, Woon-Bong,Ha, Sung-Kyu 대한기계학회 1998 大韓機械學會論文集A Vol.22 No.1
A shape estimation is needed to control actively a smart structure. A method is, hence, proposed to predict the deformed shape of the structure subjected to unknown external load using the signal from sensors attached to the structure. The shape estimation is based on the relationship between the deformation of the structure and the signal from the sensors. The matrix containing the relationship between the deformation and signal is obtained using fictitious force or eigenvector of global stiffness matrix. Then the deformed shape can be predicted using the linear matrix and signal from sensors attached to the structure. To verify this method, experiment and FEM were performed and it was shown that the shape estimation method based on the fictitious force predicts deflections well and more accurately than that based on eigenvector.
경량, 고압의 CNG 복합재료 압력용기의 설계에 관한 연구
이동건,하성규 한양대학교 공학기술연구소 1993 공학기술논문집 Vol.2 No.1
A design study of a multilayered CNG(compressed natural gas) pressure vessel subjected to high internal pressure and temperature loadings is presented Layers of the vessel are composed of aluminum liner and tar-ups of composite laminate having the lightweight, high strength and stiffness. Geometrically nonlinear finite element analysis allowing large deformations and thermal effects, is based on nonlinear shell theory and the laminate theory, is utilized for the stress analysis. Tsai-Wu failure criterion for the strength analysis is also used. The results of the stress and strength analysis are examined and discussed. Futher, design study of a multilayered pressure vessel for operating at 20MPa of internal pressure and -60℃ ∼60℃ temprature environments is presented.