Seismic Analysis of Expressway Bridge in Mountainous Area based on BP Neural Network

Abstract

In order to study the application of BP neural network algorithm in the design of expressway bridges in mountainous areas, and earthquake resistance is one of the control factors in the design of expressway bridges in mountainous areas, based on BP neural network algorithm, this study first analyzes the seismic structure of the bridge from the aspects of structural selection, structural design and calculation analysis, and determines the section size and reinforcement configuration of each component according to the analysis results, Finally, the seismic safety of the structure is guaranteed based on the calculation and analysis. Secondly, from the aspect of seismic structural measures, we should combine active and passive seismic measures to ensure the realization of seismic objectives. The results show that BP neural network algorithm can be applied to the seismic analysis of expressway bridges in mountainous areas. The stress condition of the structure is an important factor affecting the durability. It is necessary to control the stress amplitude of key parts to prevent structural fatigue. At the same time, strengthen the design of local structural measures, adopt high-quality concrete, enhance the setting of crack prevention reinforcement, and increase the thickness of reinforcement protective layer at key parts, so as to effectively ensure the durability of the bridge structure.