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A Variation Model Method for Real Time System Identification in Bridge Health Monitoring

机译:桥梁健康监测实时系统辨识的一种变分模型方法

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The Structural Health Monitoring of bridge structures is becoming increasingly important. Due to new developments in the field of sensor and data processing technology, a new method will be introduced, which enables prognosis of the bridge lifespan through system identification based on the monitoring process. Therefore, the damages of the bridge, which are modelled in an appropriate damage model, will be linked with its BIM Model. The damage data will then be variated by using a separate Variation Model. Using this method results in the automatized creation of numerous input models for mass simulation. This forms the basis for a multi-stage procedure, which identifies the structural bridge state by using the simulation results for a numerical best-fit method. Thereby engineers can utilize the evaluated models to make more precise decisions and improve the Structural Health Monitoring of bridge structures.
机译:桥梁结构的结构健康监测变得越来越重要。由于传感器和数据处理技术领域的新发展,将介绍一种新方法,该方法可通过基于监视过程的系统识别来预测桥梁寿命。因此,以适当的损伤模型建模的桥梁损伤将与其BIM模型关联。然后,将使用单独的变化模型来变化损坏数据。使用此方法可以自动创建大量输入模型以进行质量模拟。这构成了多阶段过程的基础,该过程通过使用数值最佳拟合方法的仿真结果来识别结构桥梁状态。因此,工程师可以利用评估后的模型做出更精确的决策,并改善桥梁结构的结构健康监测。

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