基于最大熵谱和模糊聚类分析的斜拉桥拉索索力测试与评估

MEASUREMENT AND ESTIMATION OF THE CABLE TENSION BASED ON MAXIMUM ENTROPY SPECTRAL AND FUZZY CLUSTERING

  • 摘要: 为了对运营期斜拉桥拉索安全性进行评估,对拉索索力测试和评估方法作了研究与应用。首先,提出了用最大熵谱代替传统频谱来识别运营状态下拉索自振频率并获取拉索索力的方法;其次,提出了利用模糊聚类理论对索力测试结果进行分类和评估的方法;最后,将上述方法应用于南京长江二桥,提高了拉索测试的效率和精度,实现了过对该桥3次不同时期的拉索安全性评估,并得出该桥在运营期的上下游索力整体上具有明显差异性的结论。研究结果表明:最大熵谱法可以缩短拉索索力的测试时间,特别适合于运营状态下拉索索力的测试和实时监测;模糊聚类分析法可以有效的用于大跨斜拉桥拉索索力的分类与安全性评估。

     

    Abstract: The measurement and estimation methods are discussed and implemented to evaluate the safety of the cable of the cable-stayed bridge. First, a method based on the maximum entropy spectral analysis is proposed, which has some advantages in analyzing vibration responses. Second, the theory of the fuzzy cluster is used to evaluate the cable tension. Finally, taking the Second Nanjing Yangtze River Bridge as an example, the application of above methods is illustrated. It shows that the maximum entropy method generates more effective and accurate results than the traditional spectral method. In three different stages, the cable tension has significant difference between the upper cable and the lower cable. Moreover, it is shown that the maximum entropy method is suitable to mesure cable force under running condition and the fuzzy cluster method is capable of evaluating the safety of the long span cable-stayed bridge.

     

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