Research On Base Isolation Structure Intelligent Initial Design System Based On BP Neural Network

As an efficient method of seismic design, base-isolation technology has been widely applied in our country, it provides a new approach reasonably which is effective and safe to the reduction of earthquake disasters and plays an active driving role in the works of earthquake administration. After Wen-chuan earthquake in 2008, base-isolation structure had good seismic performance in this earthquake, it more rapidly develop in our country.Aiming at the present situation of rapidly develop of base-isolation structure and complex design method, using artificial neural network established causality network based on base-isolation design samples, reflects nonlinear relation between basic parameters of superstructure and the maximum shear force ratio and the largest displacement of isolation bearing, the paper proposed a kind of rapid and efficient base-isolation intelligent initial design system based on BP neural network.First, using standard BP neural network, considering the seismic fortification type, fortification intensity, site type, seismic design group, height-width ratio, aspect ratio, stiffness, mass and area of structure as main impact factor, as the maximum shear force ratio and the largest displacement of isolation bearing to output data, this article sets up a base isolation structural initial design system. It shows that high accuracy by network tested and indicates that the analysis of vibration-isolating effect in base-isolation structure by base-isolation initial design system based on standard BP neural network has certain feasibility, but training speed and accuracy of network should be further improved.Second, aiming at the existing problems of base-isolation initial design system based on standard BP neural network, this paper discusses the existing defects of standard BP neural network and improves of these defects. Improved neural network improves the learning speed and the prediction accuracy, reduces the training time of the network. These indicate that the improved method is feasible and the improved BP neural network has a good application and promotional value.Finally, applying the improved BP neural network, and combined with the characteristics of base-isolation design, base-isolation intelligent initial design system can be established and graphical user interface can be make by MATLAB7.5 programming, which will make the system better practicality and interaction.Through the engineering practice, the base-isolation intelligent initial design system in this paper is simple to operate and easy to use and could store and extend previous experience as an auxiliary function for base-isolation design. Thus it can improve the quality of engineering design greatly, shorten design period, quickening design process, sharing experiences and improve design efficiency.