NEESR: Novel Embedded Diagnostics Wireless Structural Monitoring Systems

随着无线监测传感系统的发展，结构健康监测一直是结构工程研究的热点。当配备数据查询算法时，此类系统可以在极端事件发生后立即向第一响应者提供关键的损害评估信息，并极大地促进恢复过程。本研究通过以下任务，探讨了一种使用无线传感器进行事件后结构损伤评估的新方法：(a)设计一种新的直接残余位移传感单元，(b)开发新的和识别现有的适合嵌入传感节点的损伤算法，(c)将损伤检测算法嵌入传感节点的微处理器上，(d)用以前实验室或数值实验的可用数据校准算法，(e)通过使用George e . Brown的项目的三个有效载荷实验验证其预测能力。地震工程模拟网络（NEES）设施和日本E-Defense震动台。载荷试验将使用多层钢筋混凝土框架，将在日本三木的E-Defense振动台设施进行测试，全尺寸单体轻型木结构测试将在加州大学圣地亚哥分校的NEES振动台设施进行，无界后张摇墙测试将在内华达州里诺大学的NEES振动台设施进行。这三种类型的结构体系都有其独特的特点和具体的挑战。这项研究的数据将存档，并通过NEES项目仓库/数据存储库（http://www.nees.org）向公众提供。一种新的先进的直接测量剩余位移的方法，通过有效载荷实验证实了这种测量，可以代表在重大事件发生后近实时监测和评估结构性能的能力取得重大突破，从而及时向第一响应者和业主提供关键信息。通过三个有效载荷实验演示嵌入复杂损伤检测算法并验证这些算法的功能，将大大提高在现场更有效地部署无线传感器的能力。该奖项是国家减少地震灾害计划（NEHRP）的一部分。

Structural health monitoring has been the intense focus of research in structural engineering with significant advances made over the past decade in the development of wireless monitoring sensing systems. When empowered with data interrogation algorithms, such systems can provide critical damage assessment information to first responders immediately after an extreme event and can greatly facilitate the recovery process. This research investigates a new methodology for post-event structural damage assessment, using wireless sensors, through the following tasks: (a) design a novel direct residual displacement sensing unit, (b) develop new and identify existing damage algorithms suitable for embedding in sensing nodes, (c) embed the damage detection algorithms on the microprocessor of the sensing nodes, (d) calibrate the algorithms with available data from previous laboratory or numerical experiments, and (e) verify their predictive capabilities though three payload experiments on projects using the George E. Brown, Jr. Network for Earthquake Engineering Simulation (NEES) facilities and Japan's E-Defense shake table. The payload experiments will use the multi-story reinforced concrete frame to be tested at the E-Defense shake table facility in Miki, Japan, the full scale unibody light wood-frame structure test to be conducted at the NEES shake table facility at the University of California, San Diego, and the unbounded post-tensioned rocking wall test to be conducted at the NEES shake table facility at the University of Nevada, Reno. Each of these three types of structural systems has unique characteristics with their specific challenges. Data from this research will be archived and made available to the public through the NEES Project Warehouse/data repository (http://www.nees.org). A new advanced method for direct measurement of residual displacement, with confirmation of such measurements through the payload experiments, can represent a major breakthrough in the ability to monitor and assess structural performance after a major event in near real time, thus providing critical information to first responders and owners in a timely manner. Demonstration of embedding of complex damage detection algorithms and verification of the functionality of these algorithms through the three payload experiments will greatly enhance the ability to deploy wireless sensors more effectively in the field. This award is part of the National Earthquake Hazards Reduction Program (NEHRP).