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: 0206275
• 负责人: Sami Masri
• 金额: $ 50万
• 依托单位: University of Southern California
• 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 2007-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0206275&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.

公路桥梁和建筑设施的新型健康监测策略对我们的经济活力具有重要意义。使用最新的使能技术，健康监测的目标是检测和评估由于严重的负荷事件（由自然负荷或人为事件造成）和/或环境逐步恶化而对民用基础设施造成的损害程度。损伤识别的基础上显着的响应特征的结构，所部署的传感器阵列测量的变化。由于与此主题相关的技术问题的挑战性，在过去的三十年中，许多研究人员在与这个广泛的跨学科主题相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的挑战，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，并具有长期和实时的评估决策影响。将开发灵活和可扩展的软件架构/框架，以集成实时异构传感器数据、数据库和存档系统、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。这一开发将由计算机科学家（CS）和结构工程师（SE）的跨学科团队以协调一致和集中的综合方法进行。据信，这种跨学科的方法将协同解决基本的技术挑战，并允许在这一领域的未来应用的框架的发展。新的框架还将加快发现与民用基础设施系统的逐渐或突然恶化以及相应的损害机制有关的新知识。计划中的研究活动不仅将最终部署一个强大的、可现场实施的监测系统，而且还将推进涉及网格存储的几个活跃的前沿研究领域的研究前沿（策展数据库、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，整个项目将围绕实际桥梁试验台进行开发，并与加州交通部（Caltranss）和行业合作伙伴合作。这些试验台将被密集地安装仪器并持续监测，记录的反应数据库将被全世界感兴趣的研究人员和工程师最大限度地使用。来自实验室模型和桥梁试验台的实际记录数据流将是本研究工作所有阶段的主要组成部分。一个互联网门户网站将整合所有元素，并作为项目的网关。拟议的5年项目期限将允许解决与结构健康监测相关的关键基础研究问题的机会，CS和SE之间的合作是必要的。先进的数据采集、传输和管理技术、计算机视觉的介入、非线性系统辨识和建模的精细化以及实际的实现构成了基本的研究框架。应用范围包括各种大型建筑设施在发生自然或人为灾害和恐怖主义行为后的长期状况评估和应急响应。从更广泛的角度来看，拟议的努力将大大推动CS和SE之间确定和塑造更多的长期互动和合作机会，具有广泛的国家和国际影响，并从利用资源和持续监测活动中受益匪浅。