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根据大跨斜拉桥拉索的特点,提出用模糊模式识别理论对大跨斜拉桥的拉索进行损伤诊断。在损伤识别过程中,分析了拉索损伤位置和损伤程度对结构自振频率的影响,以结构损伤和完好状况下的自振频率归一化的频率差作为损伤标识量,以此建立拉索损伤的模糊模式识别子集,再利用模糊模式识别方法对拉索损伤位置和程度进行识别。为了证明该方法的可行性,对天兴洲大跨斜拉桥结构模型进行了数值仿真,并考虑了噪声的影响,结果表明该方法能够有效地识别拉索损伤。
According to the characteristics of cables in long-span cable-stayed bridges, the fuzzy modal recognition theory is proposed to diagnose the cables of long-span cable-stayed bridges. In the process of damage identification, the influence of the position and degree of damage of the cable on the natural frequency of the structure was analyzed. The normalized frequency difference of the natural frequency under the structural damage and intact conditions was taken as the identification number of the damage, so that the cable Damage fuzzy pattern recognition subset, and then use fuzzy pattern recognition method to identify the location and extent of cable damage. In order to prove the feasibility of the method, the numerical simulation of the structural model of Tianxingzhou long-span cable-stayed bridge is taken and the effect of noise is considered. The results show that this method can effectively identify the cable damage.