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.

新的公路桥和已建设施的健康监测战略对我们的经济活力具有重要意义。利用最新的有利技术，健康监测的目标是检测和评估严重负荷事件(由自然负荷或人为事故造成)和/或环境逐渐恶化对民用基础设施造成的损害程度。根据部署的传感器阵列测量的结构显著响应特征的变化，进行损伤识别。由于与这一主题相关的技术问题具有挑战性，在过去的三十年里，许多研究人员在与这一广泛的跨学科主题有关的许多领域进行了大量的研究工作。拟议的研究将建立在这些发展的基础上，并解决一些基础和基础研究挑战，以实现下一代、多功能、高效和实用的健康监测战略。在这样的战略中，来自数千个传感器的数据将被分析，并产生长期和实时的评估决策影响。将开发一个灵活和可扩展的软件架构/框架，以集成实时不同种类的传感器数据、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、概率风险分析和合理的统计决策程序。这一开发将由一个由计算机科学家(CS)和结构工程师(SE)组成的跨学科团队以协调和有重点的综合方法进行。人们认为，这种跨学科方法将协同解决基本的技术挑战，并为今后在这一领域的应用制定框架。新框架还将加快发现与民用基础设施系统逐渐或突然恶化以及相应的破坏机制有关的新知识。计划中的研究活动不仅将最终部署一个可靠的、可实地实施的监测系统，而且还将推动若干活跃的前沿研究领域的研究前沿，这些研究领域涉及网格存储(管理数据库、文件系统、数据库系统)、基于知识的数据集成和高级查询处理、信息提取(数据挖掘、建模、分析和可视化)、知识提取(可靠性/风险分析、结构健康评估、基于物理的模型开发)和决策支持系统(例如应急响应、预防性维护、整个项目将围绕实际的桥梁试验台，与加州交通部(加州交通部)和行业合作伙伴合作开发。这些试验台将配备密集的仪器并进行持续监测，记录的响应数据库将提供给世界各地感兴趣的研究人员和工程师尽可能多地使用。来自实验室模型和桥梁试验台的实际记录数据流将是这项研究工作所有阶段的主要组成部分。互联网门户网站将整合所有元素，并作为项目的门户。拟议的5年项目期限将为解决与结构健康监测相关的关键基础研究问题提供机会，CS和SEIS之间的合作是必要的。最先进的数据采集、传输和管理，计算机视觉的参与，非线性系统辨识和建模的精细化，以及实际应用，构成了基本的研究框架。应用包括对所有类型的已建大型设施进行长期状况评估和自然灾害或人为灾害及恐怖主义行为后的应急反应。从更广泛的角度来看，拟议的努力将大大促进确定和形成CS和SE之间更多的长期互动和合作机会，具有广泛的国家和国际影响，并将从利用资源和持续监测活动中受益匪浅。