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Dynamic Performance Analysis of the Towers of a Long-Span Bridge Based on GPS Monitoring Technique

机译:基于GPS监测技术的大跨度桥梁塔身动力性能分析。

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摘要

The present study investigates the parameter identification and the dynamic performance of a long-span bridge tower based on the output of a global positioning system (GPS) health monitoring system. The random decrement (RD) algorithm is used to estimate the tower displacement impulse response. Three methods are applied to extract the dynamic performance including least squares complex exponential (LSCE) method, Hilbert envelope method (HEM), and eigensystem realization algorithm (ERA). Results reveal that the HEM and LSCE method are more suitable to extract fundamental frequency and modal and damping ratios of the tower. Furthermore, the dynamic properties and statistical time series analysis of the GPS measurements illustrate that the traffic loads have a high significant impact on the semistatic and dynamic performances.
机译:本研究基于全球定位系统(GPS)健康监测系统的输出,研究大跨度桥梁塔架的参数识别和动力性能。随机减量(RD)算法用于估计塔位移脉冲响应。应用三种方法来提取动态性能,包括最小二乘复指数(LSCE)方法,希尔伯特包络法(HEM)和本征系统实现算法(ERA)。结果表明,HEM和LSCE方法更适合于提取塔的基本频率,模态和阻尼比。此外,GPS测量的动态特性和统计时间序列分析表明,交通负荷对半静态和动态性能具有重大影响。

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