A methodology to design measurement systems when multiple model classes are plausible
A methodology to design measurement systems when multiple model classes are plausible
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DOI：
10.1007/s13349-020-00454-9
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发表时间：
2021-01-07
影响因子：
4.4
通讯作者：
Smith, Ian F. C.
中科院分区：
文献类型：
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作者：
Bertola, Numa J.;Pai, Sai G. S.;Smith, Ian F. C.
由于不断发展的功能需求、老化和气候变化，现有民用基础设施的管理面临挑战。由于在设计和施工过程中采用了保守的方法，民用基础设施往往具有隐藏的后备能力。通过传感器测量收集的信息有可能提高对结构行为的了解，从而更好地制定与资产管理相关的决策。在这种情况下，监控系统的设计是一项重要的任务，因为它直接影响到所收集信息的质量。最优测量系统的设计取决于使用监测数据和非参数不确定性源来识别行为模型参数的选择。将这些参数表示为变量的模型称为模型类。在获取有关结构行为的信息之前，选择最合适的模型类别通常是困难的，这导致了次优的传感器放置。本研究提出了当多个模型类别可行时，有效设计测量系统的策略。该方法支持传感器配置的选择，使用最少数量的传感器为每个模型类提供重要的信息增益。一个全尺寸的桥，粉碎机桥（美国），和一个说明性的梁的例子来比较方法。对传感器放置的分层算法的修改导致了比以前提出的策略具有更少传感器的配置设计，而不影响信息增益。
The management of existing civil infrastructure is challenging due to evolving functional requirements, aging and climate change. Civil infrastructure often has hidden reserve capacity because of conservative approaches used in design and during construction. Information collected through sensor measurements has the potential to improve knowledge of structural behavior, leading to better decisions related to asset management. In this situation, the design of the monitoring system is an important task since it directly affects the quality of the information that is collected. Design of optimal measurement systems depends on the choice of behavior-model parameters to identify using monitoring data and non-parametric uncertainty sources. A model that contains a representation of these parameters as variables is called a model class. Selection of the most appropriate model class is often difficult prior to acquisition of information regarding the structural behavior, and this leads to suboptimal sensor placement. This study presents strategies to efficiently design measurement systems when multiple model classes are plausible. This methodology supports the selection of a sensor configuration that provides significant information gain for each model class using a minimum number of sensors. A full-scale bridge, The Powder Mill Bridge (USA), and an illustrative beam example are used to compare methodologies. A modification of the hierarchical algorithm for sensor placement has led to design of configurations that have fewer sensors than previously proposed strategies without compromising information gain.