Abstract A finite element (FE) model is developed for a curved cable-stayed footbridge located in Terni (Umbria Region, Central Italy) which accounts for uncertainties in geometry, material properties, and boundary conditions as well as limited knowledge on the behavior of connections and other components. Ambient vibration tests (AVTs) are carried out to identify the main dynamic parameters which are used for model updating in the Bayesian framework. Sensitivity analysis is performed to identify the main mechanical parameters affecting natural frequencies and mode shapes to be used as updating parameters. Finally, the posterior probability distributions of the selected updating parameters is estimated and used to assess the accuracy of the FE-based model. The importance of using a proper informative reference data set in the updating framework is assessed using different observations together with the importance of reliable surrogate models able to reduce the computational costs related to the whole framework.

中文翻译：

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使用实验数据进行参数估计的贝叶斯推理

摘要 为位于 Terni（意大利中部翁布里亚地区）的弯曲斜拉桥人行天桥开发了有限元 (FE) 模型，该模型考虑了几何、材料特性和边界条件的不确定性以及对连接行为的有限了解和其他组件。进行环境振动测试 (AVT) 以识别用于贝叶斯框架中模型更新的主要动态参数。执行灵敏度分析以识别影响自然频率和模态振型的主要机械参数，以用作更新参数。最后，估计所选更新参数的后验概率分布并用于评估基于有限元模型的准确性。