| Summary: | 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.
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