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This paper takes the Nenjiang river continuous girder bridge as an example to discuss a method of carrying out predictive analysis on deflection in different construction stages by means of Aritificial neural network technology. Based on the foundation of finite element model, training samples for RBF network are obtained. BP and RBF neural network are used to forecast the deflection of bridge girder...
A 24 hours of continuous observation was made for a prestressed concrete cable-stayed bridge constructing, which with one pylon and single cable plane, the 14000t rotational weight, 70.4° rotational angel, and the 98m cantilever girder. On the basis of measured data, the PC cable-stayed bridge temperature effects inherent law in the high latitudes cold region was studied, using the finite element...
Deflection control of construction is a crucial step of bridge construction monitor control in cantilever construction process. The control results of which will directly influence the quality of closure construction of bridge structure. The deflection is influenced by so many factors which made the calculation and analysis process complicated. This paper use BP Artificial Neural Network technology...
In policy-based management, the gap between policy definition and enforcement mechanisms needs an architectural innovation to fill. Policy-based trust management has this gap too. Enforcement of policies for federation activities, especially trust policies among Web-service-based systems, requires a dynamic and flexible architecture to accommodate different trust models and different domains. Meanwhile,...
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