Neural Network for Active Pulse Control of Structures

• Main Authors: Lee, Jin-Jing, 李金進
• Other Authors: Huang Shih-Lin
• Format: Others
• Language: zh-TW
• Published: 1997
• Online Access: http://ndltd.ncl.edu.tw/handle/08831083709283230162

碩士 === 國立交通大學 === 土木工程學系研究所 === 85 === In this work, a new active neural network structural control model is develope d to control the civil engineering structures under seismic loadings. The stra tegy of the developed control model is to reduce the structural cumulative re sponses during earthquakes with active pulse control force. The effect of puls es is assumed to be postponed to the time that is asmall interval before the n ext sampling time so that the control force can be calculated in time and prep ared for applied. The problem of time delay was circumvented in the proposed c ontrol model. The parameters, such as damping and stiffness, of civil engineer ing structures will be changed, if it is damaged, after subjected to earthquak es. These parameters of structures under traditional control theory are diffic ult to be modified due to the several unknowns, such as damage of elements and degrees. By employing the property of adaptive in neural networks, a network c an be retrained with the detected structural responses as the desired output d ata. Then, these data are compared with the response of real structures. As a result, the more suitable control forces will be applied to thedamaged structu res during next earthquakes with a proper seismic response.From the illustrati ve examples, it is shown that the effect of reducing a larger cumulative struc tural responses under the proposed active pulse control model. Moreover, the p racticability of using the adaptive active neural network structural control m odel is also demonstrated in this research.