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首页> 外文期刊>Bulletin of earthquake engineering >Bridge health monitoring system based on vibration measurements
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Bridge health monitoring system based on vibration measurements

机译：基于振动测量的桥梁健康监测系统

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Abridge health monitoring system is presented based on vibrationmeasurements collected from a network of acceleration sensors. Sophisticated structural identificationmethods, combining information from the sensor network with the theoretical information built into a finite elementmodel for simulating bridge behavior, are incorporated into the system in order to monitor structural condition, track structural changes and identify the location, type and extent of damage. This work starts with a brief overview of the modal and model identification algorithms and software incorporated into the monitoring system and then presents details on a Bayesian inference framework for the identification of the location and the severity of damage using measured modal characteristics. The methodology for damage detection combines the information contained in a set ofmeasurementmodal data with the information provided by a family of competitive, parameterized, finite element model classes simulating plausible damage scenarios in the structure. The effectiveness of the damage detection algorithm is demonstrated and validated using simulated modal data from an instrumented R/C bridge of the Egnatia Odos motorway, as well as using experimental vibration data from a laboratory small-scaled bridge section.
机译：基于从加速度传感器网络收集的振动测量结果，提出了一种桥梁健康监测系统。复杂的结构识别方法，将来自传感器网络的信息与建立在用于模拟桥梁行为的有限元模型中的理论信息相结合，被集成到系统中，以便监视结构状况，跟踪结构变化并识别损坏的位置，类型和程度。这项工作首先简要介绍了模态和模型识别算法以及集成到监视系统中的软件，然后介绍了贝叶斯推理框架的详细信息，以使用测得的模态特征来识别位置和破坏的严重性。损坏检测的方法将一组测量模态数据中包含的信息与一系列竞争性，参数化的有限元模型类提供的信息相结合，这些类在结构中模拟了可能的损坏情况。损坏检测算法的有效性通过使用来自Egnatia Odos高速公路的已安装R / C桥的模拟模态数据以及来自实验室小型桥截面的实验振动数据进行了演示和验证。

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