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

基本信息

  • 批准号:
    2022427
  • 负责人:
  • 金额:
    $ 2.93万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-03-01 至 2022-02-28
  • 项目状态:
    已结题

项目摘要

This Rapid Response Research (RAPID) grant will gather perishable data documenting structural damage to historic buildings and port structures in the Ponce, Puerto Rico, area following the 2020 Puerto Rico Earthquake Sequence (M6.4 on January 7, 2020). This project aims to identify the compounding impacts of Hurricane Maria in September 2017 and the 2020 earthquake sequence on structures in Puerto Rico. Traditionally, post-disaster damage assessment activities focus on one hazard and overlook the potentially destructive cascading effects of multiple hazards on structures. In some cases, the capacity losses due to an initial hazard, combined with incomplete restoration efforts, can significantly impact the performance of a structure under subsequent hazards. The lack of sufficient field data for a variety of multi-hazard impact cases prevents the engineering community from accurately characterizing some of the structural failure modes observed after extreme events and developing mitigation strategies to reduce the failures. This project will collect perishable structural damage data that can inform research on potential multi-hazard mitigation strategies for the design of new structures and the retrofit of existing ones. This will improve the safety of structures in future extreme events and minimize the socioeconomic impacts of hazards. In the short term, the findings of this project can contribute to the recovery efforts in Puerto Rico by highlighting the importance of understanding multi-hazard vulnerabilities. By involving several graduate students and early career faculty in the field data collection, data processing, and subsequent multi-hazard analyses, this project will support future workforce development in the area of natural hazard mitigation. Data from this project will be archived and made publicly available in the National Science Foundation (NSF)-supported Natural Hazards Engineering Research Infrastructure (NHERI) Data Depot (https:/www.DesignSafe-ci.org). This project contributes to NSF's role in the National Earthquake Hazards Reduction Program and the National Windstorm Impact Reduction Program. The project team will travel to Puerto Rico in February and March 2020 to collect a comprehensive data set of structural performance including geotagged pictures, 3D models, and infrared images, using equipment from the NHERI RAPID facility at the University of Washington, to document several unexpected or understudied vulnerabilities of structures observed after the earthquake sequence. The project team will focus on gathering the following data: 1) structures and sites that have experienced soil erosion during Hurricane Maria, 2) structures that lost some of the perimeter or insulation elements during the hurricane and were not repaired before the earthquake sequence occurred, 3) structures located on slopes that were susceptible to landslides or lateral spreading, 4) landslide-driven hydrologic effects of Maria that may have been worsened during the earthquakes, 5) structures that were repaired after Maria by adding/attaching heavy components to provide stability under high winds but not beneficial to reduce seismic loads, 6) flexible structures that were retrofitted by adding rigid bracing or supports, 7) structures onshore that were exposed to corrosive seawater due to the hurricane storm surge, 8) structures that showed signs of damage after the occurrence of the aftershocks, and 9) structural design concepts such as elevated construction to avoid flooding that make structures vulnerable to earthquakes. This data will be used to understand if the impacts of Hurricane Maria, such as inundation, erosion, saltwater exposure, water damage, and structural damage to external components, resulted in an increased level of damage or caused unexpected modes of structural failure during the 2020 earthquake sequence. The information collected will also be used to determine if post-hurricane retrofit measures changed how structures performed under the seismic events. This project's data will help the natural hazards research community build a database in the NHERI Data Depot that documents the sequential impacts of hurricanes and earthquakes on structures. This database can be used for subsequent multi-hazard research studies to improve the performance of structures subjected to multiple hazard events.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
这项快速反应研究(RAPID)赠款将收集易腐数据,记录2020年波多黎各地震序列(2020年1月7日M6.4)后,波多黎各庞塞地区历史建筑和港口结构的结构损坏。该项目旨在确定2017年9月飓风玛丽亚和2020年地震序列对波多黎各结构的复合影响。传统上,灾后损害评估活动侧重于一种灾害,而忽视了多种灾害对结构的潜在破坏性连锁效应。在某些情况下,由于初始灾害造成的容量损失,再加上不完整的恢复工作,可能会严重影响后续灾害下结构的性能。缺乏足够的现场数据的各种多灾害影响的情况下,阻止工程界准确地描述一些极端事件后观察到的结构故障模式,并制定缓解策略,以减少故障。该项目将收集易腐烂的结构损坏数据,这些数据可以为新结构设计和现有结构改造的潜在多重灾害缓解战略研究提供信息。这将提高未来极端事件中结构的安全性,并最大限度地减少灾害的社会经济影响。从短期来看,该项目的调查结果可以通过强调了解多种灾害脆弱性的重要性,促进波多黎各的恢复工作。 通过让几名研究生和早期职业教师参与实地数据收集、数据处理和随后的多种灾害分析,该项目将支持自然灾害减灾领域未来的劳动力发展。该项目的数据将在国家科学基金会(NSF)支持的自然灾害工程研究基础设施(NHERI)数据库(https:/www.DesignSafe-ci.org)中存档并公开提供。该项目有助于NSF在国家减少地震灾害计划和国家减少风暴影响计划中发挥作用。该项目团队将于2020年2月和3月前往波多黎各,收集结构性能的综合数据集,包括地理标记图片,3D模型和红外图像,使用华盛顿大学NHERI RAPID设施的设备,以记录地震序列后观察到的结构的几个意外或未充分研究的脆弱性。项目小组将重点收集以下数据:1)在飓风玛丽亚期间遭受土壤侵蚀的结构和场地,2)在飓风期间损失了一些周边或绝缘元件并且在地震序列发生之前没有修复的结构,3)位于容易发生滑坡或横向扩展的斜坡上的结构,4)地震期间可能恶化的玛丽亚滑坡驱动的水文效应,5)玛丽亚之后通过添加/连接重型组件进行修复的结构,以在强风下提供稳定性,但不利于减少地震荷载,6)通过增加刚性支撑或支撑而改造的柔性结构,7)由于飓风风暴潮而暴露于腐蚀性海水的岸上结构,8)在余震发生后显示出损坏迹象的结构,以及9)结构设计概念,例如高架建筑,以避免使结构易受地震影响的洪水。这些数据将用于了解飓风玛丽亚的影响,如洪水,侵蚀,盐水暴露,水损害和外部构件的结构损坏,是否导致损坏程度增加或在2020年地震序列中引起意外的结构失效模式。收集的信息还将用于确定飓风后的改造措施是否改变了地震事件下结构的表现。该项目的数据将帮助自然灾害研究界在NHERI数据仓库中建立一个数据库,记录飓风和地震对建筑物的连续影响。该数据库可用于随后的多灾害研究,以改善遭受多灾害事件的结构的性能。该奖项反映了NSF的法定使命,并已被认为是值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估的支持。

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:
    $ 2.93万
  • 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:
    $ 2.93万
  • 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:
    $ 2.93万
  • 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:
    $ 2.93万
  • 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:
    $ 2.93万
  • 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:
    $ 2.93万
  • 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:
    $ 2.93万
  • 项目类别:
    Standard Grant
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
  • 批准号:
    0928493
  • 财政年份:
    2009
  • 资助金额:
    $ 2.93万
  • 项目类别:
    Standard Grant

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  • 批准号:
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    Standard Grant
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  • 批准号:
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  • 财政年份:
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  • 资助金额:
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  • 项目类别:
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Collaborative Research: RAPID: Investigating the magnitude and timing of post-fire sediment transport in the Texas Panhandle
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  • 财政年份:
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  • 资助金额:
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