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Structural Health Monitoring of a Prestressed Concrete Bridge Based on Statistical Pattern Recognition of Continuous Dynamic Measurements over 14 years

机译:基于14年连续动态测量统计模式识别的预应力混凝土桥梁结构健康监测。

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摘要

This work describes a vibration-based structural health monitoring of a prestressed-concrete box girder bridge on the A100 Highway in Berlin by applying statistical pattern recognition technique to a huge amount of data continuously collected by an integrated monitoring system during the period from 2000 to 2013. Firstly, the general condition and potential damage of the bridge is described. Then, the dynamic properties are extracted from 20 velocity sensors. Environmental variability captured by five thermal transducers and traffic intensity approximately estimated by strain measurements are also reported. Nonlinear influences of temperature on natural frequencies are observed. Subsequently, the measurements during the first year are used to build a baseline health index. The multiple linear regression (MLR) method is used to characterize the nonlinear relationship between natural frequencies and temperatures. The Euclidean distance of the residual errors is calculated to build a statistical health index. Finally, the indices extracted from the following years gradually deviate; which may indicate structural deterioration due to loss of prestress in the prestressed tendons.
机译:这项工作描述了柏林A100高速公路上的预应力混凝土箱梁桥基于振动的结构健康监测,方法是对2000年至2013年期间通过集成监测系统连续收集的大量数据应用统计模式识别技术首先,描述了桥梁的一般状况和潜在损坏。然后,从20个速度传感器中提取动态特性。还报告了由五个热传感器捕获的环境变异性和通过应变测量近似估算的交通强度。观察到温度对固有频率的非线性影响。随后,使用第一年的测量结果来建立基线健康指数。多元线性回归(MLR)方法用于表征固有频率与温度之间的非线性关系。计算残留误差的欧几里得距离以建立统计健康指数。最后,随后几年提取的指标逐渐偏离。这可能表明由于预应力筋中预应力的损失而导致的结构恶化。

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