Intelligent Health Monitoring System of Large Bridge Structure Based on Finite Element Analysis

Abstract

Large bridges are the economic lifeline of a country, and the construction and maintenance of bridges are an important part of a country's infrastructure construction. During the service life of large bridges, due to the influence of environmental erosion, material aging, fatigue, overload and excess flow, and various natural disasters, the damage of structural components will accumulate continuously, which may lead to the destruction of local components of bridge structures. In order to effectively achieve the purpose of health monitoring, it is generally necessary to use the structural health monitoring system composed of sensors and computer systems to monitor the bridge structure online for a long time. In order to evaluate the correlation between the measured load and the response state of large bridge structures in real time, an online structural analysis and state evaluation method of bridge health monitoring system is proposed. The finite element analysis program kernel is compiled, and the finite element model of bridge structure is embedded in the program kernel. Through authorized database interface, the real-time load data in the health monitoring system is read, and the load data is statistically analyzed, and compared with the measured response value of the structure in the health monitoring system, and the bridge structure is evaluated.