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

新型的公路桥梁和已建设施健康监测策略对我国经济的活力具有重要意义。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负载事件（由自然负载或人为事件引起）和/或环境逐渐恶化而对民用基础设施造成的破坏程度。损伤识别是基于结构显著响应特征的变化，由部署的传感器阵列测量。由于与该主题相关的技术问题具有挑战性，在过去三十年中，许多研究人员在与这一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挑战，以实现下一代，多功能，高效和实用的健康监测策略。在这种策略中，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意义。将开发一个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、概率风险分析和理性统计决策程序。这一发展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一致和重点全面的方式进行。相信这种跨学科的方法将协同解决基本的技术挑战，并为该领域未来的应用开发框架。新的框架还将加速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、可在现场实施的监测系统，而且还将推进几个活跃的、前沿的研究领域的研究前沿，包括网格存储（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、修复）。整个项目将与加州交通部（Caltrans）和行业合作伙伴合作，围绕实际的桥梁测试平台进行开发。这些试验台将配备密集的仪器并持续监测，记录的响应数据库将供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式试验台的实际记录数据流将是该研究工作的所有阶段的主要组成部分。互联网门户将集成所有元素，并作为该项目的门户。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、非线性系统识别和建模的改进以及实际实施构成了基本的研究框架。应用范围包括各种大型设施的长期状态评估和自然或人为灾害和恐怖主义行为后的应急响应。从更广泛的角度来看，拟议的努力将在定义和塑造CS和SE之间额外的长期互动和合作机会方面起到重大推动作用，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获益良多。

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.