CAREER: Loading on Coastal Bridges in Windstorms Using Rapidly Deployable Sensor Network

职业：使用快速部署的传感器网络在暴风雨中为沿海桥梁装载货物

• 批准号: 1452911
• 负责人: Jennifer Bridge
• 金额: $ 50万
• 依托单位: University of Florida
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-05-01 至 2021-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1452911&HistoricalAwards=false
• 关键词: CAREER; Loading; Coastal; Bridges; Windstorms

This Faculty Early Career Development (CAREER) Program grant seeks to transform coastal bridge resilience through cyberinfrastructure supported extreme event observations. The damaging effects of severe windstorms including hurricanes on infrastructure of coastal bridges highlight the need for new tools to provide fundamental knowledge of windstorm impacts on infrastructure. This award supports fundamental research to establish a rapidly deployable, bridge-located observation network to lay the groundwork for capturing measurements of wind, surge, wave, and scour and analysis of bridge responses during a severe storm such as a hurricane. These efforts will enhance coastal bridge health management decisions as well as design and reliability models through the analysis of hurricane load and response data. A full-scale prototype of this system deployed on a bridge with interactive system will provide students at all academic levels the opportunity to interact with an in-service bridge and visualize the impacts of bridge management decisions. The rapidly deployable bridge-hurricane observation network will advance fundamental knowledge of the loadings and responses of bridges in coastal storms. The introduction of wireless smart sensor networks has promise of transforming bridge management; however, their potential has been restricted by static application software that is unable to respond to changing monitoring conditions. Under this CAREER program, a cyberinfrastructure enabled dynamically reconfigurable smart sensor framework will be created based on mobile agents. These are the software programs that traverse the wireless sensor network and act intelligently to facilitate network and sensor functionality in response to changes in the bridge loading and response. To realize the full benefits of the bridge monitoring framework, there should be a link between the data it produces and effective bridge management decisions. This link will be pursued by coupling extreme event data with advanced bridge response and windstorm phenomena simulation tools to enable the development of accurate coastal bridge reliability models.

这项教师早期职业发展（Career）计划旨在通过网络基础设施支持的极端事件观测来改变沿海桥梁的恢复能力。包括飓风在内的强风暴对沿海桥梁基础设施的破坏性影响突出表明需要新的工具来提供风暴对基础设施影响的基本知识。该奖项支持基础研究，以建立一个快速部署的桥梁观测网络，为捕获风、浪、波和冲刷的测量奠定基础，并分析在飓风等严重风暴期间桥梁的反应。这些努力将通过对飓风荷载和响应数据的分析，加强沿海桥梁健康管理决策以及设计和可靠性模型。该系统的全尺寸原型部署在具有交互系统的桥梁上，将为所有学术水平的学生提供与正在使用的桥梁交互的机会，并可视化桥梁管理决策的影响。快速部署的桥梁-飓风观测网将提高对沿海风暴中桥梁载荷和响应的基本知识。无线智能传感器网络的引入有望改变桥梁管理；然而，它们的潜力受到静态应用软件的限制，这些软件无法响应不断变化的监测条件。根据该CAREER计划，将基于移动代理创建一个网络基础设施，使动态可重构智能传感器框架成为可能。这些是遍历无线传感器网络的软件程序，并智能地行动，以促进网络和传感器功能，以响应桥梁负载和响应的变化。为了实现桥梁监控框架的全部好处，它产生的数据和有效的桥梁管理决策之间应该有一个联系。这一联系将通过将极端事件数据与先进的桥梁响应和风暴现象模拟工具相结合来实现，从而能够开发准确的沿海桥梁可靠性模型。