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

这一探索性研究项目的目标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来进行损伤识别。利用高阶谱方法和逆动力学方法对采集到的结构多传感器响应进行损伤识别。大多数全球结构健康监测方法假定结构保持线性，因此忽略了由损伤引起的非线性的存在，例如裂纹的打开和闭合造成的损伤。这项调查的新奇之处在于，它将利用损害识别中存在的非线性。本文还将探讨该方法在实际土木工程结构中的应用。这项研究有望提供一种新的结构健康监测方法，对裂缝等损伤的存在更加敏感。调查的研究成果将广泛传播，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，从而有助于培养一批训练有素的技术人才加入国家-S劳动力大军。

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.