Damage Detection of Bridge Structures Based on Moving Vehicle Caused Vibration
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摘要: 基于移动车辆引起的桥梁振动,采用模式识别的聚类分析方法对桥梁结构损伤定位及损伤程度估计进行了研究.应用车致振动理论计算不同预设损伤位置和损伤程度的桥梁结构在相同移动车辆作用下的动力响应,记录其在测试位置的响应,形成损伤模式库;将在测试位置实际测得的响应与损伤模式进行比较,并利用聚类分析的近邻法识别桥梁结构是否出现损伤、损伤位置及其程度.为直观有效地表示识别结果,分别以损伤位置和损伤程度为独立坐标轴,用等值线和响应云图的方式展示比较结果.以移动荷载匀速通过某简支梁为例,验证了该方法的有效性和鲁棒性.数值模拟结果表明,该方法能够有效地估计桥梁结构的损伤位置和损伤程度.Abstract: Based on the vibration caused by moving vehicles,the pattern recognition method was adopted to identify the damage detection,localization and severity estimation for bridge structures.With the technique,the dynamic responses of a bridge under the same moving vehicle for various predefined damage locations and severities are figured out,and the responses at testing points are written down to form a damage pattern database.Then the measured responses under moving vehicles,collected from the instrumented sensors on a bridge structure,are compared with the damage patterns,and the nearest method for clustering analysis is engaged to carry out the damage detection,localization and severity estimation.The comparison is displayed in a contour or image plot with damage location and severity as independent coordinates.By taking the damage detection of a simply supported beam under a constant moving load with a constant speed across the structure as an example,the concept,effectiveness and robustness of the pattern recognition were demonstrated numerically.The numerical results show that the proposed technique is effective and robust to estimate the damage location and severity of bridge structures.
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Key words:
- damage detection /
- moving traffic loading /
- pattern recognition /
- clustering analysis /
- nearest method
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