GOALI: SMART ELECTROMAGNETIC SENSORS FOR STRUCTURAL AND MATERIAL DAMAGE IDENTIFICATION

该项目开发了通过增强灵敏度控制（ESC）来提高电磁（EM）无损检测传感器灵敏度的方法，该方法利用了反馈控制增益与表征系统损伤几何形状的参数之间的关系。这些传感器将用于检测土木和机械系统的早期缺陷，并在随机载荷下跟踪缺陷的增长。研究任务将集中在为电磁无损检测传感器（如涡流和巨磁致伸缩传感器）开发SEC。将开发反馈控制传感器和结构系统的分布参数模型，并将其与有效的计算逆方法相结合，用于损伤几何识别，以及涡流无损检测的SEC数值和实验评估。这是一项目标提案，涉及与通用电气公司的合作，并包括通过研究教育各级学生的创新组成部分。

Abstract0408844 P.I.: Laura RayDartmouth UniversityThis project develops methods that increase the sensitivity of electromagnetic (EM) NDE sensors by enhanced sensitivity control (ESC), which exploits the relation between feedback control gains and parameters that characterize system damage geometry. These sensors will be used to detect incipient flaws of civil and mechanical systems and track flaw growth under random loads.Research tasks will focus on developing SEC for EM NDE sensors such as eddy current and giant magnetostrictive sensors. Distributed parameter models of feedback control sensors and structure systems will be developed and used in concert with computational efficient inverse methods for damage geometry identification, and numerical and experimental evaluation of SEC for eddy current NDE.This a goal proposal involving collaboration with General Electric Corporation and includes an innovative component of educating all level of students through research.