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송민성 ( Song¸ M. S ),심성택 ( Shim¸ S. T ),이광수 ( Lee¸ K. S ),신성우 ( Shin¸ S. W ) 한국구조물진단유지관리공학회 2001 한국구조물진단유지관리공학회 학술발표대회 논문집 Vol.5 No.2
Most period code formulas for the RC moment resisting frame building are empirical formulas. Code formula is developed by the measured period of the low-medium buildings during the 1971 San Fernando Earthquake. But measured periods are insufficient to assure the reliability of its accuracy and safety. This paper improves the code formula by regression analysis of the measured period data. Seismic coefficient using the improved formula is evaluated and also compared with those of being based on the current code formula.
신성우(S. W. Shin),박형종(H. J. Park),조진래(J. R. Cho) 대한기계학회 2002 대한기계학회 춘추학술대회 Vol.2002 No.8
For the high temperature engineering applications, materials used are required to possess superior thermo-mechanical performances, such as high temperature strength and creep resistance, especially fracture toughness and thermal shock resistance. So, laminated composites have been used for several decades as a heat-resisting material. But, there exists one inevitable disadvantage in classical laminate composites. To resolve this problem, a notion of functionally graded materials(FGM) was introduced. In FGMs, a material composition varies continuously from one end to the other of graded layer. In oder to find suitable volume fraction distribution in the graded layer for relaxing thermal stress, we apply optimization technique and neural network algorithm. The purpose of the use of neural network is to minimize the total CPU time by reducing the number of finite element analysis. As well, we confirmed that the neural network leads to reliable approximation of the objective function.