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.
该奖项根据 2009 年美国复苏和再投资法案(公法 111-5)提供资金。桥梁基础设施所有者面临的挑战是有效管理不仅来自老化和恶化的风险,还来自自然灾害(例如地震或风暴潮)的风险。 这些困难正在刺激桥梁仪器仪表和状况评估的新兴趋势。 该项目将把新获得的桥梁状况数据集综合到桥梁系统和桥梁网络可靠性以及多种灾害的风险指标中,并促进桥梁系统和网络层面的有效干预。 支持这项工作的三个主要研究目标:(1)利用现场条件数据更新自然灾害造成的桥梁脆弱性模型。 (2) 使智能桥梁网络能够在来自样本仪器站点的有限数据的情况下推断多种危险下的状况和可靠性。 (3) 通过新的嵌套逆可靠性方法来识别关键桥梁和所需的升级,以确保统一的网络级性能。 将用于快速脆弱性评估和推理建模的新工具集成到新颖的逆可靠性方法中,提供了一种有效投资资金以实现目标网络级性能目标的方法。快速传达风险、标记网络漏洞来源、预测未来风险并提供可操作的网络级干预的能力将有助于避免未来的灾难性事件、拯救生命,并提供实现基础设施安全的经济手段。 项目目标的实现将为在多灾害系统风险背景下整合监测数据提供坚实的框架,并可作为基准系统方法,广泛应用于其他领域。 与合作机构密切合作将有助于确保下一代维护计划、应急管理计划和桥梁改造指南的注入。 综合研究和教育计划将对未来几代 IT 和工程集成商的准备和经验产生广泛影响,并直接满足吸引和招募多元化学生的需求。 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、振兴本科课程和有针对性的交互式 K-12 推广等活动来实现这些目标。 该项目解决了民用基础设施保护关键领域的劳动力短缺问题,并通过利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,帮助学生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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SERVICES TO EXTEND METHODS FOR RISK PREDICTION WITH A CONTINUOUS TIME MODEL FOR SURVIVAL UNDER COMPETING RISKS
通过连续时间模型扩展风险预测方法的服务,以实现竞争风险下的生存
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基于连续状态空间模型的CPS安全风险评估奠定基础
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使用计算机视觉进行连续 ADL 监测,以保持独立性并改善有 AD/ADRD 风险的老年人的 HRQoL
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