BRIGE: Robust Signal Processing Algorithms for Health Monitoring of Civil Infrastructure Subjected to Seismic Loads

BRIGE：用于承受地震载荷的民用基础设施健康监测的鲁棒信号处理算法

• 批准号: 1121146
• 负责人: Luis Montejo
• 金额: $ 17.45万
• 依托单位: University of Puerto Rico Mayaguez
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1121146&HistoricalAwards=false
• 关键词: BRIGE; Robust; Signal; Processing; Algorithms

This Broadening Participation Research Initiation Grant in Engineering (BRIGE) provides funding for the development of a model-free signal-processing-based methodology for rapid damage detection in civil structures subjected to earthquake excitations. Advanced mathematical techniques for the analysis of nonlinear-nonstationary signals will be engaged to develop algorithms capable of identifying the occurrence and severity of damage from examination of the structural response. Initial validation and calibration of the algorithms will be performed using state-of-the-art nonlinear structural models that utilize fiber-based distributed plasticity elements capable of replicating the structural members' actual nonlinear hysteretic response including different types of failures. Small scale shaking table tests will be performed to further validate the algorithms developed. The educational and broadening participation activities aim to increase the participation of underrepresented groups in engineering. Such activities include shake table based structural design competitions/demonstrations at underserved pre-college schools in Puerto Rico and the development of a practicum course in signal processing and data analysis.If successful, the results of this research will lead to improvements in the implementation of real-time structural health monitoring systems. This will have a direct positive impact in the coordination of post-earthquake emergency responses by local authorities. While the research program is designed to tackle the early damage detection problem in civil structures subjected to seismic loads, the fundamental knowledge developed will have an impact in any engineering or scientific discipline dealing with signal processing, data analysis, target/anomaly detection, damage simulation or health monitoring. The interdisciplinary nature of the research presents unique learning opportunities to our undergraduate and graduate students. The outreach activities will impact a large number of Hispanic pre-college students through the University of Puerto Rico Science on Wheels Educational Center.

这项扩大参与工程研究启动基金（bridge）为开发一种基于无模型信号处理的方法提供资金，用于在地震激励下快速检测土木结构的损伤。用于分析非线性-非平稳信号的先进数学技术将用于开发能够从结构响应检查中识别损坏发生和严重程度的算法。算法的初始验证和校准将使用最先进的非线性结构模型进行，该模型利用基于纤维的分布式塑性单元，能够复制结构构件的实际非线性滞后响应，包括不同类型的失效。将进行小型振动台试验以进一步验证所开发的算法。教育和扩大参与活动旨在增加代表性不足的群体对工程的参与。这些活动包括在波多黎各服务不足的大学预科学校进行基于振动台的结构设计竞赛/演示，以及开发信号处理和数据分析实习课程。如果成功，这项研究的结果将导致在实时结构健康监测系统的实施改进。这将对地方当局协调震后应急反应产生直接的积极影响。虽然该研究计划旨在解决地震荷载下土木结构的早期损伤检测问题，但所开发的基础知识将对处理信号处理、数据分析、目标/异常检测、损伤模拟或健康监测的任何工程或科学学科产生影响。该研究的跨学科性质为我们的本科生和研究生提供了独特的学习机会。外展活动将通过波多黎各大学车轮科学教育中心影响大量西班牙裔大学预科学生。