| There must be some damage in the existing structure under the static\dynamic load, as well as the erosion and destroy by the environment for a long time. If the damage couldn’t be found and repaired, there will be a huge security risk, especially for the bridge, as the key point of highway and railway, would lead to great economic losses and social consequences. So, detect the damage location and degree, maintain the damage and assess the working state of the bridge is the current hot research topic, but also has very important practical and research significance.Structural damage detection is an important component of bridge health monitoring. For the damage detection, depending on the measurement data there divide into two categories: static measurement data and dynamic measurement data to detect damage, utilize the dynamic/static parameters of structure to detect the damage is a hot research topic. Compared with the dynamic measurement data, the static measurement data is collected more easily and has more high accuracy.The paper based on the previous research methods and current situation of structure damage detection, fractional detection. Through the self-anchored suspension bridge damage detection numerical experiments show the effectiveness of the method. Main research contents are as follows:(1) Establish the initial balance finite element model of Huangshui River Self-anchored Suspension Bridge using finite element software Midas, analysis the Non-destructive state. For main girder of self-anchored suspension bridge easily-worn parts, whose injury will affect the suspenders, causing the force suspender redistribute. Therefore,in the self-anchored suspension bridge finite element model, simulate the hangers force changes caused by main girder injury by adjusting suspenders’ initial tension, and extract static data resulting displacement value for damage detection;(2) Based on the Grey Correlation Theory, using Static Displacement Curvature Assurance Coefficient(SDCAC) detect the damage location. According to the Static Displacement Curvature Assurance Coefficient of the curvature of the damage, assess the interacted extent of the nodes’ displacement curvature before and after the injury, and then detect the position of the damage. Through the results of supported beam damage detection show effectiveness of the method for structure damage that in local areas. Ten different suspenders’ force change conditions, according to the SDCAC curve of the nodes that in the longitudinal direction of self-anchored suspension bridge detect the different position of the damage, the result show effectiveness of the method for the large complex suspension bridge.(3) Based on the knowledge of the genetic algorithm to improve the traditional one’ optimizing performance by using the elitist strategy and adaptive crossover\ mutation rate and detect the structure damage. The minimum strain difference of the damage structure as the objective function, on the first step basis detect the damage degrees of different conditions, the numerical results show the validity of the methods to detect damage.(4) Summary the research contents of this paper, points out the advantages and disadvantages of the methods, and prospects the development direction of structural damage detection and combines the dynamic and static data to detect structure damage. |
