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Structural Identification to Improve Bridge Management

机译:结构识别以改善桥梁管理

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This paper presents results from static loads tests performed on the new Langensand Bridge built inrnSwitzerland. A systematic study of over 1000 models subjected to three load cases identifies a set ofrn11 candidate models through static measurements. Predictions using the set of candidate models arernhomogenous and show an averaged discrepancy ranging of 4 to 7% from the displacementrnmeasurements. All candidate models have values for material proprieties that are close to expectedrnvalues. This finding confirms that the behaviour of the structure conforms to the designrnexpectations. Comparing the candidate model set to a design model that takes into account onlyrnmain structural elements shows that the structure has approximately 30% reserve capacity withrnrespect to a typical deflection risk scenario according to Swiss codes. The population of candidaternmodels may be used to understand and predict the behaviour of the full bridge prior to itsrncompletion.
机译:本文介绍了在瑞士瑞士新建的朗根桑大桥上进行的静载荷测试的结果。通过对1000多个模型进行三种负载情况的系统研究,通过静态测量确定了一组11种候选模型。使用候选模型集的预测是不均匀的,并且与位移测量值的平均差异范围为4%至7%。所有候选模型的材料特性值都接近预期值。该发现证实了该结构的行为符合设计期望。将候选模型集与仅考虑主要结构元素的设计模型进行比较表明,根据瑞士法规,相对于典型的挠曲风险情形,该结构具有约30%的备用容量。候选模型的总体可用于理解和预测全桥在其完成之前的行为。

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