Bayesian Network for Structural Health Monitoring and Decision

该项目的目的是开发一个基于贝叶斯网络的决策框架，以有效利用具有固有不确定性的结构健康监测系统。从健康监测系统获得的信息通常是高度不确定的，导致有关检查计划、维护、修理、改造或关闭/继续运营设施的决定并不完全清楚。贝叶斯网络扩展了效用和决策节点，将用于提供定量和图形表示，用于监测结构系统的近实时信息处理和决策制定。提出的框架将提供建模和与非专家交互的透明度，复杂相互依赖系统的建模，以及从数据中学习以提供近实时决策的能力。该方法将应用于三个示范性应用：对遭受强烈地震的建筑结构进行监测，用于近实时的震后决策；持续监控桥梁的检查和维护决策，以最大限度地减少生命周期成本；并根据其提供的信息价值，在一组候选结构健康监测系统中选择最佳系统。预计该项目将促进在实践中有效和客观地使用健康监测系统，从而减少自然和人为危害造成的损失。该方法将提高应急响应人员在重大灾害（如强烈地震）后做出最佳决策的能力，或提高已建成设施的管理人员实施检查和维护计划的能力，以最大限度地减少生命周期成本，从而造福社会。该项目将为一名研究生和本科生暑期实习生提供多学科培训，改善现有的本科生和研究生课程，并加强与一个欧洲国家的国际研究合作。

The purpose of the project is to develop a Bayesian network-based decision making framework for effective utilization of structural health monitoring systems with inherent uncertainties. The information gained from health monitoring systems is often highly uncertain, leading to decisions about inspection schedules, maintenance, repair, retrofit, or closure/continued operation of a facility that are not completely clear. The Bayesian network, extended with utility and decision nodes, will be used to provide quantitative and graphical representation for near-real time information processing and decision making about monitored structural systems. The proposed framework will offer transparency in modeling and interaction with non-experts, modeling of complex interdependent systems, and ability to learn from data to provide near-real time decision making. The methodology will be applied to three demonstrative applications: a monitored building structure subjected to a severe earthquake for near-real time post-earthquake decision making; a continuously monitored bridge for inspection and maintenance decisions to minimize life-cycle cost; and selection of the best among a set of candidate structural health monitoring systems based on the value of information they provide. The project is expected to facilitate effective and objective use of health monitoring systems in practice, leading to mitigate losses due to natural and man-made hazards. The methodology will improve the ability of emergency responders to make optimal decisions after a major hazard, such as a severe earthquake, or managers of constructed facilities to implement inspection and maintenance plans in order to minimize life-cycle cost, thereby benefiting society. The project will provide multidisciplinary training to a graduate student and to undergraduate summer interns, improve existing undergraduate and graduate courses, and enhance international research collaboration with a European country.