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    大跨斜拉桥自由振动阻尼识别与不确定性分析

    Damping Identification and Uncertainty Analysis of Long-Span Cable-Stayed Bridges Based on Free Vibration

    • 摘要: 结构阻尼比对桥梁抗风设计和减振控制至关重要.对数衰减法作为一种经典的阻尼比识别方法,尽管应用广泛,但受噪声等因素影响,衰减周期数的选择会显著影响阻尼比的识别精度.为了提升对数衰减法在工程中的适用性,首先建立了对数衰减法的不确定性分析理论模型,推导出最优衰减周期数的理论计算式以及恒定的最优振幅比.其次,通过单自由度数值算例验证了所提方法的有效性和鲁棒性.最后,将解析模态分解法与所提方法相结合,并将其应用于某大跨度钢混组合梁斜拉桥的阻尼比识别.研究结果表明,最优衰减周期数对应于最大振幅衰减至0.3299倍时,阻尼比识别的不确定性最小.由于振幅依赖性影响,识别所得大跨度钢混组合梁斜拉桥的阻尼比结果相对离散,但均约为1%,与公路桥梁抗风规范推荐值接近.该研究成果为对数衰减法的工程应用提供了借鉴.

       

      Abstract: Structural damping ratios are crucial for the wind resistance design and vibration control of bridges.The logarithmic decrement method,a classic approach for damping ratio identification,is widely used;however,its accuracy can be significantly affected by noise and the choice of decay periods.To enhance the applicability of the logarithmic decrement method in engineering practice,this paper first establishes a theoretical model for uncertainty quantification of the method,deriving theoretical formulas for the optimal number of decay periods and a constant optimal amplitude ratio.Next,the effectiveness and robustness of the proposed method are verified through a single-degree-of-freedom numerical example.Finally,the method is combined with the analytical mode decomposition method and applied to identify the damping ratio of a long-span steel-concrete composite girder cable-stayed bridge.The results indicate that the optimal number of decay periods corresponds to the point where the maximum amplitude decays to 0.3299 times its original value,minimizing the uncertainty in damping ratio identification.Due to amplitude dependency,the identified damping ratios for the long-span steel-concrete composite girder cable-stayed bridge are relatively dispersed but generally around 1%,aligning closely with the recommended values in wind-resistant design specification for highway bridges.The findings of this study provide valuable guidance for the engineering application of the logarithmic decrement method.

       

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