IT-Enabled Continuous Risk Assessment of Bridge Networks for Customized and Actionable Multi-Hazard Interventions

利用 IT 对桥梁网络进行持续风险评估,以进行定制且可操作的多灾种干预措施

基本信息

  • 批准号:
    0928493
  • 负责人:
  • 金额:
    $ 38.08万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2009
  • 资助国家:
    美国
  • 起止时间:
    2009-08-01 至 2012-07-31
  • 项目状态:
    已结题

项目摘要

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).Bridge infrastructure owners are challenged to effectively manage risks not only from aging and deterioration but also from natural hazards, such as earthquakes or storm surge. These difficulties are stimulating an emerging trend of instrumentation and condition assessment of bridges. This project will synthesize newly available bridge condition datasets into bridge system and bridge network reliability and risk metrics for multiple hazards, and promote effective interventions at the bridge system and network level. Three primary research goals support this effort: (1) To update models of bridge vulnerability from natural hazards with data on in-field condition. (2) To enable a network of smart bridges capable inferring condition status and reliability under multiple hazards given limited data from sample instrumentation sites. (3) To identify critical bridges and required upgrades that ensure uniform network-level performance through a new nested inverse reliability method. Integrating the new tools for rapid fragility assessment and inference modeling within the novel inverse reliability method provides an approach to effectively invest funds to achieve target network-level performance goals.The ability to rapidly communicate risks, flag sources of network vulnerability, project future risks, and provide actionable network-level intervention will help avoid future catastrophic events, save lives, and present economic means for achieving infrastructure safety. Accomplishment of the project goals will provide a solid framework for integrating monitoring data within the context of multi-hazard systems risk, and can serve as a benchmark systems approach with extensive applications to other fields. Working closely with collaborating agencies will help ensure infusion in next generation maintenance programs, emergency management plans, and bridge retrofit guidelines. The integrated research and education program will have a broad impact on the preparation and experiences of future generations of IT and engineering integrators, and directly addresses the need to engage and recruit a diverse pool of students. This ambitious program leveraging existing University resources accomplishes these goals through such activities as student community forums, revitalized undergraduate curriculum, and targeted interactive K-12 outreach. The project addresses a workforce shortage in the critical area of civil infrastructure protection, and prepares students to contribute to public service and infrastructure sectors by using real-world educational experiences and by emphasizing the importance of integrating information technology and engineering.
该奖项是根据2009年的《美国复苏与再投资法》(公法111-5)资助的。桥梁基础设施所有者面临挑战,不仅要因老化和恶化而有效地管理风险,而且还来自天然危害,例如地震或风暴潮。 这些困难正在刺激桥梁的仪器和条件评估的新兴趋势。 该项目将将新近可用的桥梁状况数据集合成桥梁系统,以及桥梁网络的可靠性以及多种危害的风险指标,并在桥梁系统和网络层面上促进有效的干预措施。 三个主要的研究目标支持了这一工作:(1)通过使用现场状况的数据来更新自然危害的桥梁脆弱性模型。 (2)启用一个能够在多种危害下推断状况状态和可靠性的智能桥网络,鉴于样品仪器站点的数据有限。 (3)确定关键的桥梁和所需的升级,以确保通过新的嵌套逆可靠性方法确保网络级别的性能。 将新的工具整合到新颖的逆可靠性方法中,以快速脆弱性评估和推理模型提供有效投资资金以实现目标网络级绩效目标的方法。快速沟通的风险,网络脆弱性的旗帜来源,未来的风险来源,投射未来的风险以及可行的网络级别提供可行的网络干预将有助于避免使用经济的灾难性事件,并实现生命的安全,并实现无效的效果。 实现项目目标将提供一个可靠的框架,以在多危险系统风险的背景下集成监视数据,并可以用作基准系统方法,并在其他领域进行广泛应用。 与合作机构紧密合作将有助于确保在下一代维护计划,应急管理计划和桥梁改造指南中注入。 综合研究和教育计划将对IT和工程集成商的后代的准备和体验产生广泛的影响,并直接解决参与和招募各种学生群的需求。 这个雄心勃勃的计划利用现有的大学资源通过学生社区论坛,振兴本科课程以及针对互动K-12外展活动来实现这些目标。 该项目解决了民事基础设施保护关键领域的劳动力短缺,并通过使用现实世界的教育经验并强调整合信息技术和工程的重要性来为学生做好准备为公共服务和基础设施部门做出贡献。

项目成果

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Jamie Padgett其他文献

Jamie Padgett的其他文献

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{{ truncateString('Jamie Padgett', 18)}}的其他基金

BRITE Fellow: A New Paradigm of Equitable and Smart Multi-Hazard Resilience Modeling (ENSURE)
BRITE 研究员:公平且智能的多灾种复原力建模新范式 (ENSURE)
  • 批准号:
    2227467
  • 财政年份:
    2023
  • 资助金额:
    $ 38.08万
  • 项目类别:
    Standard Grant
SCC-PG: Toward Smart Resilience: Smart Systems for Situational Awareness of Flood Impacts and Transportation Access (SSSAFT) in Communities
SCC-PG:迈向智能复原力:社区洪水影响态势感知和交通便利 (SSSAFT) 的智能系统
  • 批准号:
    1951821
  • 财政年份:
    2020
  • 资助金额:
    $ 38.08万
  • 项目类别:
    Standard Grant
Collaborative Research: Probabilistic Debris Modeling in Coastal Storm Events: A Case of Complex Coupling Between Human-Built-Natural Systems
合作研究:沿海风暴事件中的概率碎片建模:人造自然系统之间复杂耦合的案例
  • 批准号:
    2002522
  • 财政年份:
    2020
  • 资助金额:
    $ 38.08万
  • 项目类别:
    Standard Grant
RAPID/Collaborative Research: Multi-Hazard Damage to Puerto Rico's Civil Infrastructure - Investigation of the Interactions of 2017 Hurricane Maria and 2020 Earthquake Sequence
快速/协作研究:波多黎各民用基础设施遭受的多重灾害损害 - 调查 2017 年飓风玛丽亚和 2020 年地震序列的相互作用
  • 批准号:
    2022427
  • 财政年份:
    2020
  • 资助金额:
    $ 38.08万
  • 项目类别:
    Standard Grant
Collaborative Research: Numerical and Probabilistic Modeling of Aboveground Storage Tanks Subjected to Multi-Hazard Storm Events
合作研究:遭受多重灾害风暴事件的地上储罐的数值和概率建模
  • 批准号:
    1635784
  • 财政年份:
    2016
  • 资助金额:
    $ 38.08万
  • 项目类别:
    Standard Grant
Collaborative Research: Novel Fractional Order Ground Motion Intensity Measures for High Confidence Risk Assessment of Distributed Infrastructures
合作研究:用于分布式基础设施高置信度风险评估的新型分数阶地震动强度测量
  • 批准号:
    1462177
  • 财政年份:
    2015
  • 资助金额:
    $ 38.08万
  • 项目类别:
    Standard Grant
Prioritizing and Selecting Bridge Management Actions for Heightened Truck Loads and Natural Hazards in Light of Funding Allocation Patterns
根据资金分配模式优先考虑和选择针对卡车负载增加和自然灾害的桥梁管理行动
  • 批准号:
    1234690
  • 财政年份:
    2012
  • 资助金额:
    $ 38.08万
  • 项目类别:
    Standard Grant
CAREER: A Risk-Based Model to Achieve Sustainable Solutions for Bridge Infrastructure Subjected to Multiple Threats
职业:基于风险的模型,为遭受多重威胁的桥梁基础设施实现可持续解决方案
  • 批准号:
    1055301
  • 财政年份:
    2011
  • 资助金额:
    $ 38.08万
  • 项目类别:
    Standard Grant

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