ITR: Collaborative Research: An Integrated Framework for Health Monitoring of Highway Bridges and Civil Infrastructure

ITR：合作研究：公路桥梁和民用基础设施健康监测的综合框架

• 批准号: 0205720
• 负责人: Ahmed Elgamal
• 金额: $ 265万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-10-01 至 2008-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0205720&HistoricalAwards=false
• 关键词: ITR; Collaborative; Research; Integrated; Framework

Novel health monitoring strategies for Highway Bridges and Constructed Facilities are ofprimary significance to the vitality of our economy. Using latest enabling technologies, the objectives of health monitoring are to detect and assess the level of damage to the civil infrastructure due to severe loading events (caused by natural loads or man-made events) and/or progressive environmental deterioration. Damage identification is performed based on changes in salient response features of the structure, as measured by deployed sensor arrays. Due to the challenging nature of the technical problems associated with this topic, substantial research efforts during the past thirty years were undertaken by many researchers in many areas related to this broad interdisciplinary topic. The proposed research will build on these developments, and address a number of fundamental and basic research challenges towards a next-generation, versatile, efficient, and practical health monitoring strategy. In such a strategy, data from thousands of sensors will be analyzed with long-term and real-time assessment decisionmaking implications. A flexible and scalable software architecture/framework will be developed to integrate real-time heterogeneous sensor data, database and archiving systems, computer vision, data analysis and interpretation, numerical simulation of complex structural systems, visualization, probabilistic risk analysis, and rational statistical decision making procedures. This development will be undertaken in a concerted and focused comprehensive approach by an inter-disciplinary team of Computer Scientists (CS) and Structural Engineers (SE). It is believed that this inter-disciplinaryapproach will synergize the resolution of basic technical challenges and allow development of theframework for future applications in this field. The new framework will also speed up the discovery of new knowledge related to the progressive or sudden deterioration of civil infrastructure systems and the corresponding damage mechanisms. The planned research activities will not only culminate in the deployment of a robust, field-implementable monitoring system, but it will also advance the research frontiers in several active, cutting-edge research areas involving grid storage (curated databases, filesystems, database systems), knowledge-based data integration and advanced query processing, information extraction (data mining, modeling, analysis and visualization), knowledge extraction (reliability/risk analysis, structural health assessment, physics-based model development), and decision support systems (e.g., emergency response, preventive maintenance, rehabilitation).The entire project will be developed around actual Bridge Testbeds in cooperation with theCalifornia Department of Transportation (Caltrans), and Industry Partners. These Testbeds will bedensely instrumented and continuously monitored, and the recorded response databases will be made available for maximum possible use by interested researchers and engineers worldwide. The actual recorded data streams from both laboratory models and bridge testbeds will be a major component for all phases of this research effort. An Internet Portal will integrate all elements and act as a Gateway for the Project.The proposed 5 year project duration will allow the opportunity for resolving key basic research issues of relevance to Structural Health Monitoring, and collaboration between CS and SEis simply a necessity. State-of-the-art data acquisition, transmission, and management, involvement of computer vision, refinement of nonlinear system identification and modeling, and practicalimplementation constitute the basic research framework. Applications include long-term conditionassessment and emergency response after natural or man-made disasters and acts of terrorism for alltypes of large constructed facilities. From a broader perspective, the proposed effort will be a major boost in defining and shaping additional long-term interaction and collaboration opportunities between CS and SE, with wide national and international implications, as well as strongly benefiting from leveraging resources and ongoing monitoring activities.

高速公路桥梁和建造设施的新型健康监测策略对我们经济的活力具有很大的意义。使用最新的促成技术，健康监测的目标是检测和评估由于严重的负载事件（由自然负荷或人造事件引起的）和/或渐进的环境衰退而导致的民用基础设施损害水平。根据部署的传感器阵列衡量，基于结构的显着响应特征的变化进行损伤识别。由于与该主题相关的技术问题的具有挑战性的性质，许多研究人员在与这个广泛的跨学科主题有关的许多领域进行了大量研究工作。拟议的研究将以这些发展为基础，并针对下一代，多功能，高效和实用的健康监测策略提出许多基本和基础研究挑战。在这种策略中，将以长期和实时评估决策的含义分析来自数千个传感器的数据。将开发灵活，可扩展的软件体系结构/框架，以整合实时异质传感器数据，数据库和归档系统，计算机视觉，数据分析和解释，复杂结构系统的数值模拟，可视化，概率风险分析以及合理的统计统计决策制定程序。这一发展将由计算机科学家（CS）和结构工程师（SE）的跨学科团队（SE）的跨学科团队进行一致综合的综合方法进行。人们认为，这种跨学科的攻击将协同解决基本技术挑战的解决方案，并允许为该领域的未来应用程序开发FrameWork。新框架还将加快发现与民用基础设施系统和相应损害机制的渐进或突然恶化有关的新知识。 The planned research activities will not only culminate in the deployment of a robust, field-implementable monitoring system, but it will also advance the research frontiers in several active, cutting-edge research areas involving grid storage (curated databases, filesystems, database systems), knowledge-based data integration and advanced query processing, information extraction (data mining, modeling, analysis and visualization), knowledge extraction (reliability/risk analysis, structural health assessment,基于物理学的模型开发）和决策支持系统（例如，应急响应，预防性维护，康复）。整个项目将在与Thecalifornia交通运输部（CALTRANS）和行业合作伙伴合作的实际桥架测试中开发。这些测试台将卧床乐器和连续监控，并将记录的响应数据库可用于全球感兴趣的研究人员和工程师的最大可能使用。实验室模型和桥梁测试床的实际记录数据流将是这项研究工作的所有阶段的主要组成部分。互联网门户将整合所有元素并充当该项目的门户。拟议的5年项目持续时间将有机会解决与结构健康监测相关的关键基础研究问题，以及CS与SEIS之间的协作简单。最先进的数据采集，传输和管理，计算机视觉的参与，非线性系统识别和建模的改进以及实际实现构成了基础研究框架。申请包括自然或人为灾难后的长期条件和应急响应，以及对大型建筑设施的Alltypes的恐怖主义行为。从更广泛的角度来看，拟议的努力将在定义和塑造CS与SE之间的其他长期互动和协作机会方面的重大促进，具有广泛的国家和国际影响，并从利用资源和正在进行的监测活动中受益匪浅。