Health Monitoring System Of Bridge Damage Based On Neural Venation Bionics

The structural health monitoring which includes structural continuous monitoring, inspection and damage detection, develops rapidly recently. The goal is to improve the structural reliability and safety, and reduce the structural upkeep. With the development of national economy, the Chinese government invests a plenty of money in traffic field, and the funds of building on road and bridge are the principal part of the investment. Because of limitation of the engineering materials and misplay in decision and construction process, the bridge structural safety always disturbs architects, builders and platelayers. Therefore, the people build health-monitoring systems for structural safety. The health-monitoring systems make use of sensor element or equipment to monitor capability variety on structural displacement, distortion and damage, and adopt the algorithms to online monitor and estimate the health status of bridge.Presently the methods used in bridge structure monitoring always needs high cost. These methods are short of monitoring method and cannot satisfy the requirements of real time monitoring. This paper introduces a health real-time monitoring method of bridge damage based on neural venation bionics to judge bridge structural damage The new method also provides basis for bridge maintenance.This paper designs a novel neural venation bionics sensor and sensor system based on the analysis of the current structure health-monitoring trends. The main works of this paper includes the following four aspects: (1)In order to find a solution for area monitoring problem in bridge structure, we simulated the sense mechanism of how neural unit and neural venation detect the local change inside and outside of the biology, which put the sensor material into the bridge structure by neural venation mode, the cross points are neural unit nodes. We design a neural venation bionics sensor in which sensor layer are made up of network grid of silver powder, and develop a new production method and techniques of sensor layer. (2)According to the requirements of current bridge health monitoring and real-time monitoring, we design all hardware of novel neural venation bionics. With the developmental trend of more real-time and centralization monitoring, we design the whole structure of system hardware chart of primary system and spot monitoring subsystem which include intermediate and terminal processing cell and etc. (3)The paper introduces a simulated algorithm of crack judgment based on hardware, and describes the design of software system. Calculate every breakpoint of crack and construct drawing arithmetic of crack through building Cartesian referenced model on sensor layer. The system emulates crack through third B-splines, and draws simulation crack in computer. The software system includes two parts: one is the data detection and transmission modules, which run on SCM;the other includes database, communication and simulation display modules whichrun on PC. (4)We elaborately design a experimental system for simulation. The data obtained in experiments validates the design principle and reliability of sensor and working flow of monitoring system adequately.