As data from monitored structures become more available, the demand for its efficient use in structural operation and management grows. This can be achieved by using structural response measurements to assess the usefulness of models describing deterioration processes and the mechanical behaviour of structures. This work aims to frame Structural Health Monitoring as a Bayesian model updating problem, where the quantities of inferential interest characterise the deterioration process and/or structural state. Using posterior estimates of these quantities, a decision-theoretic definition is proposed to assess the models based on (a) their ability to explain the data and (b) their performance in decision support tasks. The framework is demonstrated on strain response data from a test specimen subjected to three-point bending and accelerated corrosion, leading to thickness loss. Results indicate that domain knowledge of the deterioration form is critical.

中文翻译：

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结构劣化监测决策理论模型评估


随着受监控结构的数据变得越来越可用，对其在结构操作和管理中有效使用的需求不断增长。这可以通过使用结构响应测量来评估描述退化过程和结构机械行为的模型的有用性来实现。这项工作旨在将结构健康监测构建为贝叶斯模型更新问题，其中推理兴趣的数量表征了恶化过程和/或结构状态。使用这些量的后验估计，提出了决策理论定义，以根据（a）模型解释数据的能力和（b）模型在决策支持任务中的表现来评估模型。该框架通过来自遭受三点弯曲和加速腐蚀（导致厚度损失）的测试样本的应变响应数据进行了论证。结果表明，恶化形式的领域知识至关重要。