Adaptive Mobile Sensor Networks for Structural Health Monitoring

0928095杨旺佐治亚技术近年来，结构健康监测(SHM)系统在确保民用建筑安全方面具有巨大的潜力，引起了人们的广泛关注。这项研究将探索一种利用移动传感器网络进行健康监测的新方法。通过优化布局和重构策略，智能移动传感器网络在获得前所未有的高空间分辨率的同时，提供了一种自适应重构网络结构的手段。这项研究将从研究设计移动传感器节点的标准和原则开始，然后将开发用于铁磁结构导航的磁轮式移动传感器原型。基于子结构的有限元模型将被更新，损伤检测算法将最大限度地利用移动传感节点提供的高空间分辨率。最后，将开发一种系统的方法，以自适应地优化和重新调整网络配置。得益于佐治亚理工学院高度重视的教育传统，将做出相当大的努力从少数族裔群体中招收研究生和本科生。原型移动传感器将与一门关于高级动力学和智能结构的新课程相结合，该课程将由佐治亚理工大学PI开设。将为K-12学生群体设计为期一天的外展活动，以激发他们对科学和工程的浓厚兴趣。

0928095Yang WangGeorgia TechWith great potential to ensure the safety of civil structures, structural health monitoring (SHM) systems have attracted much attention in recent years. This research will investigate a novel approach of harnessing mobile sensor networks for SHM. With optimal placement and reconfiguration strategies, intelligent mobile sensor networks provide a means to adaptively reconfigure network architecture while achieving unprecedented high spatial resolutions. The research will begin with investigating criteria and principles for designing mobile sensor nodes; a magnet-wheeled mobile sensor prototype will then be developed for navigating on ferromagnetic structures. Substructure-based finite-element (FE) model will be updated and damage detection algorithms that best utilize the high spatial resolution provided by the mobile sensing nodes will be developed. Finally a systematic methodology will be developed for adaptively optimizing and readjusting network configurations. Benefiting from the high-valued educational tradition at Georgia Tech, considerable efforts will be made to recruit graduate and undergraduate students from minority groups. The prototype mobile sensors will be integrated with a new course on advanced dynamics and smart structures, which is to be offered by the PI at Georgia Tech. One-day outreach activities will be designed for groups of K-12 students, in order to spark their strong interest in science and engineering.