Computation of Lifetime Value of Information for Monitoring Systems
Computation of Lifetime Value of Information for Monitoring Systems
复制标题
监测系统信息生命周期价值的计算
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
A. Kiureghian
中科院分区：
文献类型：
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作者：
M. Pozzi;A. Kiureghian
结构健康监测（SHM）系统是限制与地震事件有关的风险的有用工具。除了设备的成本和操作的便利性外，这些系统的选择应以所获得的信息的质量和它们对减少总体损失的影响为指导。这种选择可以通过决策理论的信息价值（VoI）原则进行定量指导。VoI本质上是在没有SHM系统和使用SHM系统的情况下管理结构的预期损失之间的差异。的确，虽然监测系统可以提供有关结构所受损害的改进信息，但只有考虑到随后的决定（例如，检查、修理、继续运行或关闭结构）所带来的节省，才能确定这种系统的价值。准确估计VoI通常需要运行大量的模拟，使用复杂的数值模型，其计算成本很高。因此，需要一种通过相对少量的模拟获得近似估计的程序。本文研究了一种基于蒙特卡罗模拟和非参数回归的数值方法来估计VoI。介绍了该方法在地震作用下的桥梁模型上的应用。
Structural Health Monitoring (SHM) systems are useful instruments for limiting the risk related to seismic events. Aside from the cost of the devices and the convenience of their operation, the selection of these systems should be guided by the quality of the information gained and by their effect on reduction of overall losses. This selection can be guided quantitatively by the Value of Information (VoI) principle of decision theory. VoI is essentially the difference between the expected loss of managing a structure without and with the SHM system. Indeed, while a monitoring system can provide improved information as to damage suffered by the structure, it is only by considering the savings resulting from subsequent decisions (e.g., inspection, repair, continued operation or closure of the structure) that the value of such a system can be determined. An accurate estimation of the VoI generally requires running a large number of simulations, making use of complex numerical models, and its computational cost is high. Therefore, a procedure for obtaining an approximate estimate by a relatively small number of simulations is needed. In this paper we investigate a numerical approach based on Monte Carlo simulation and non-parametric regression to estimate the VoI. Application of the proposed technique is presented on a bridge model subject to seismic excitation and instrumented with accelerometers.