SGER: Online Health Monitoring of Structural Systems Using Sensor-Based Multiple Input/Output Measurements

SGER：使用基于传感器的多输入/输出测量对结构系统进行在线健康监测

• 批准号: 0852282
• 负责人: Surot Thangjitham
• 金额: --
• 依托单位: Virginia Polytechnic Institute and State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-15 至 2010-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0852282&HistoricalAwards=false
• 关键词: SGER; Online; Health; Monitoring; Structural

The objective of this exploratory research project is to develop a new structural health monitoring scheme which will exploit the presence of nonlinearity in the system for damage identification. The multiple sensor responses collected on structures will be analyzed by higher order spectral approach and reverse dynamics method for damage identification. Most global structural health monitoring methods assume that the structure under investigation remains linear, and they thus ignore the presence of nonlinearity caused by damage such as those caused by opening and closing of a crack. The novelty of this investigation is that it will exploit the presence of nonlinearities in damage identification. The application of this approach on realistic civil engineering structures will be explored. This research is expected to provide a new structural health monitoring approach which is more sensitive to the presence of damage such as a crack. The research results of the investigation will be widely disseminated for use by other researchers and practicing engineers. The project will involve graduate and undergraduate students and thus help in creating a pool of highly trained technical people to join the nation?s work force.

本探索性研究项目的目的是开发一种新的结构健康监测方案，该方案将利用系统中存在的非线性进行损伤识别。利用高阶谱方法和逆动力学方法对结构上采集的多个传感器响应进行分析，以进行损伤识别。大多数全局结构健康监测方法假设所研究的结构保持线性，因此忽略了由损伤引起的非线性的存在，例如由裂纹的张开和闭合引起的非线性。这项研究的新奇在于它将利用损伤识别中的非线性。将探讨这种方法在实际土木工程结构上的应用。该研究有望提供一种新的结构健康监测方法，该方法对裂纹等损伤的存在更敏感。调查的研究结果将广泛传播，供其他研究人员和执业工程师使用。该项目将涉及研究生和本科生，从而有助于建立一个训练有素的技术人才库加入国家？的劳动力。