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Calibration of the numerical model of a stone masonry railway bridge based on experimentally identified modal parameters

机译:基于实验识别的模态参数的砌石铁路桥梁数值模型的标定

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This paper focuses on the calibration of a numerical model of a stone masonry arch railway bridge using dynamic modal parameters estimated from an ambient vibration test. The developed 3D numerical model is based on the finite element method, featuring a realistic representation of the bridge structural components and materials. The calibration methodology relied on a genetic algorithm strategy which allowed estimating and updating numerical model parameters, particularly the elastic properties of materials. The validation of the updated bridge material properties' parameters was based on the results of material testing, on existing bridge design data and on observations resulting from in situ visual inspections. (C) 2016 Elsevier Ltd. All rights reserved.
机译:本文着重于使用从环境振动测试中估算出的动态模态参数对石砌拱铁路桥梁数值模型进行校准。所开发的3D数值模型基于有限元方法,以逼真的代表桥梁结构部件和材料为特征。校准方法依赖于遗传算法策略,该算法可以估计和更新数值模型参数,尤其是材料的弹性。更新后的桥梁材料特性参数的验证是基于材料测试的结果,现有桥梁设计数据以及现场目视检查得出的观察结果。 (C)2016 Elsevier Ltd.保留所有权利。

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