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Identification of Physically Simulated Damage on a Footbridge Based on Ambient Vibration Data

机译:基于环境振动数据的人行天桥物理模拟损伤识别

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This study is focused on detection of damage as added mass on a pedestrian bridge using a finite element model updating strategy. The Dowling Hall Footbridge, located on the Tufts University Medford, Massachusetts campus, is equipped with a continuous monitoring system that measures the ambient vibration response of the footbridge. Structural damage was physically simulated to the bridge through the addition of mass in the form of concrete blocks placed on the deck of the bridge. Changes in physical properties due to the simulated physical structural damage are detected through changes in the identified modal parameters. The location and extent of simulated damage (added mass) on the bridge is successfully estimated using a finite element model updating method. The variability of the "damage" identification results due to different sources of uncertainty is discussed.
机译:这项研究的重点是使用有限元模型更新策略检测人行桥上的附加质量损伤。位于马萨诸塞州梅德福德塔夫茨大学校园的道林堂人行天桥配备有连续监测系统,可测量人行桥的环境振动响应。通过在桥面板上放置混凝土块形式的质量来对桥梁的结构破坏进行物理模拟。通过识别的模态参数的变化,可以检测由于模拟的物理结构损坏而导致的物理性能变化。使用有限元模型更新方法成功估算了桥梁上模拟损伤(附加质量)的位置和程度。讨论了由于不确定性来源不同而导致的“损坏”识别结果的可变性。

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