Strain Response Measurement-Based Optimal Damage Identification of Civil Structures

基于应变响应测量的土木结构损伤优化识别

• 批准号: 1333965
• 负责人: Mahendra Singh
• 金额: $ 29.15万
• 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: 2013
• 资助国家: 美国
• 起止时间: 2013-09-01 至 2019-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1333965&HistoricalAwards=false
• 关键词: Strain; Response; Measurement; Based; Optimal

The objective of this project is to formulate an effective damage identification approach for complex and large structural systems that are used in buildings and bridge structures. The need for an approach that can reliably and efficiently detect structural damage without extensive manual inspections to monitor the health of civil infrastructure is urgent. The existing methods have focused on the utilization of easily measured but less damage sensitive linear structural acceleration responses but they are not yet adequately reliable for damage identification. This project will focus on the utilization of more damage sensitive and directly measurable dynamic strain responses to develop an approach for reliable damage identification. The study involves a synthesis of strain and acceleration sensor data within a new system identification concept to solve an important problem of national and international interest. The project will also develop methodologies to identify optimal locations of sensors that provide the best data to achieve the most effective damage identification objectives. The methodology will maximize a suitable norm of the Fisher information matrix through the utilization of highly sensitive strain measurements at selected locations to achieve the lowest Cramer-Rao bound often used in the information theory. For the validation of new damage identification schemes, the simulated and laboratory response data obtained for realistic models of buildings and bridges will be used. The main feature of this strain measurement-based health monitoring approach will be its robustness to the measurement errors, analytical efficiency and accuracy for direct implementation on the critical components of civil infrastructure.This study will provide a solution of a challenging problem for effective damage identification of complex and large structural systems used in modern buildings and bridges. The project will enhance the nation's educational and research infrastructure by advanced training of students. It will provide a much needed technology for efficient and economical interrogation and health monitoring of civil structures. The project results will be made available to practitioners and researchers through technical presentations in professional meetings and conferences, dedicated Internet sites, publication in peer reviewed technical journals, and classroom teaching.

本课题的目标是为建筑物和桥梁结构中使用的复杂大型结构系统制定一种有效的损伤识别方法。 迫切需要一种方法，可以可靠，有效地检测结构损坏，而无需大量的人工检查来监测民用基础设施的健康状况。现有的方法都集中在利用容易测量，但损伤敏感性较低的线性结构加速度响应，但他们还没有足够的可靠性损伤识别。本计画将着重于利用更敏感且可直接量测的动态应变反应，发展一种可靠的损伤辨识方法。这项研究涉及一个新的系统识别概念，以解决国家和国际利益的重要问题的应变和加速度传感器数据的合成。该项目还将制定方法，确定传感器的最佳位置，提供最佳数据，以实现最有效的损坏识别目标。该方法将最大限度地利用高灵敏度的应变测量在选定的位置，以实现最低的Cramer-Rao界经常使用的信息理论的Fisher信息矩阵的一个合适的范数。为了验证新的损伤识别方案，将使用从建筑物和桥梁的真实模型获得的模拟和实验室响应数据。这种基于应变测量的健康监测方法的主要特点是其对测量误差的鲁棒性，分析效率和准确性，可直接应用于民用基础设施的关键部件。这项研究将为现代建筑和桥梁中使用的复杂和大型结构系统的有效损伤识别提供一个具有挑战性的问题的解决方案。该项目将通过对学生的高级培训加强国家的教育和研究基础设施。 它将为土木结构的有效和经济的询问和健康监测提供急需的技术。 项目成果将通过专业会议和大会上的技术介绍、专门的因特网网站、在同行评审的技术期刊上发表以及课堂教学等方式提供给从业人员和研究人员。