点击次数：

发表刊物：WSEAS Transactions on Information Science and Applications

关键字：structural identification; free vibration, strain, performance; artificial neural network;...

摘要：The increasing use of advanced sensing technologies for strain measurements necessitates the development of strain-based identification methodologies. In this study, a three-step neural network strategy, called direct soft parametric identification (DSPI), is presented to identify the member stiffness and damping parameters of a truss structure directly from free vibration-induced strains. The rationality of the proposed methodology is explained and the theory basis for the construction of strain-based emulator neural network(SENN) and parametric evaluation neural network(PENN) are described..

论文类型：期刊论文

文献类型：J

卷号：17

期号：3

页面范围：1260-1265

是否译文：否

CN号：null

发表时间：2006-07-17

第一作者：许斌