Categories of SHM Deployments: Technologies and Capabilities
Categories of SHM Deployments: Technologies and Capabilities
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DOI：
10.1061/(asce)be.1943-5592.0000735
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发表时间：
2015-11-01
影响因子：
3.6
通讯作者：
Middleton, C. R.
中科院分区：
文献类型：
--
作者：
Webb, G. T.;Vardanega, P. J.;Middleton, C. R.
介绍了一项关于桥梁结构健康监测(SHM)部署的广泛文献调查结果。回顾了传统的、成熟的和新兴的技术，以及新的SHM努力的部署考虑因素。新传感器缺乏已发表的校准研究(以及不确定度研究的量化)，这是今后研究的一个主要问题和领域。目前，能明显为受监测建筑物的业主提供重大价值的SHM系统的例子很少。文献调查的结果被用来提出一个分类系统，以更好地评估桥梁SHM部署的潜在结果。研究结果表明：(1)异常检测；(2)传感器部署研究；(3)模型验证；(4)阈值检验；(5)损伤检测。新的框架帮助工程师指定监测系统，以确定应该衡量什么以及为什么，从而使他们能够更好地评估可以为监测投资向相关利益相关者提供什么价值。
The findings of an extensive literature survey focusing on bridge structural health monitoring (SHM) deployments are presented. Conventional, maturing, and emerging technologies are reviewed as well as deployment considerations for new SHM endeavors. The lack of published calibration studies (and quantification of uncertainty studies) for new sensors is highlighted as a major concern and area for future research. There are currently very few examples of SHM systems that have clearly provided significant value to the owners of monitored structures. The results of the literature survey are used to propose a categorization system to better assess the potential outcomes of bridge SHM deployments. It is shown that SHM studies can be categorized as one (or a combination) of the following: (1) anomaly detection, (2) sensor deployment studies, (3) model validation, (4) threshold check, and (5) damage detection. The new framework aids engineers specifying monitoring systems to determine what should be measured and why, hence allowing them to better evaluate what value may be delivered to the relevant stakeholders for the monitoring investments.