Structural Extreme Events Reconnaissance (StEER): Data to Knowledge Framework for Coordinated Reconnaissance following Natural Hazard Events

结构极端事件侦察 (StEER)：自然灾害事件后协调侦察的数据到知识框架

基本信息

批准号：
2103550
负责人：
Tracy Kijewski-Correa
金额：
$ 165.99万
依托单位：
University of Notre Dame
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2021
资助国家：
美国
起止时间：
2021-07-01 至 2025-06-30
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2103550&HistoricalAwards=false
关键词：
Structural Extreme Events Reconnaissance StEER

项目摘要

Natural hazard events, such as earthquakes, hurricanes, and tornadoes, can claim irreplaceable lives and cause billions of dollars in damage to communities nationwide, with cascading impacts on the U.S. economy as well as the security and well-being of its citizenry. Unfortunately, these losses are only mounting. Reducing the toll of disasters depends critically upon engineers systematically documenting hazard impacts on the built environment and ensuring the resulting knowledge swiftly informs new regulatory policies and construction practices guiding more resilient recovery and rebuilding. This award will expand the role of the Structural Extreme Events Reconnaissance (StEER) Network in these efforts to learn from natural disasters. This project will streamline the network’s core operations, supporting volunteer engineers as they collect and process valuable post-disaster data. In parallel, this project will develop new protocols for more efficient data collection and processing as well as knowledge dissemination to constituencies in research, policy, and practice. These protocols will broaden the participation of the research community, including undergraduate students, while building their capacity for high-quality forensic data. The research community will further benefit from the resulting Science Plan that ensures post-disaster observations inform future research and its translation into policy and practice. By more effectively utilizing the opportunity to not only learn but act upon the knowledge gained in the study of disasters, this project will help communities to become more resilient and sustainable. This project will contribute to the National Science Foundation (NSF) roles in the National Earthquake Hazards Reduction Program (NEHRP) and the National Windstorm Impact Reduction Program (NWIRP). This project will develop new protocols that enhance the StEER network’s efficiency, achieved through the outputs of six interconnected objectives, beginning with: (1) a tiered, regional data collection model for more agile field responses, (2) a workflow that unifies structural assessments across hazards and building typologies, (3) new capacities for automated data collection and synthesis, and (4) a damage quantification scheme offering more objective evaluations of performance compatible with established rating systems. Outputs of these four objectives will enhance the network’s core operations to lessen data collection/processing demands, increase efficiency, and reduce latency. This in turn will enable the network’s members to direct more energy toward in-depth forensic evaluations, feeding this learning into new dissemination conduits, formed through the addition of (5) a constituent-focused reconnaissance engagement and communications hub. This is coupled with (6) observation-driven science planning that links the network’s findings to research and technology transfer opportunities. In total, this will result in a more coherent natural hazards engineering research agenda and ultimately will help translate next-generation mitigation strategies into practice. Project data will be archived and made publicly available in the NSF-supported Natural Hazards Engineering Research Infrastructure (NHERI) Data Depot (https://www.DesignSafe-ci.org).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.

地震、飓风和龙卷风等自然灾害事件可能夺走不可替代的生命，给全国社区造成数十亿美元的损失，对美国经济及其公民的安全和福祉产生连锁影响。这些损失只会不断增加，很大程度上取决于工程师系统地记录灾害对建筑环境的影响，并确保由此产生的知识能够迅速为新的监管政策和建筑实践提供指导，从而指导更具弹性的恢复和重建。该奖项将扩大结构极端事件侦察（StEER）网络在从自然灾害中学习的努力中的作用，该项目将简化网络的核心运营，支持志愿者工程师收集和处理有价值的灾后数据。该项目将制定新的协议，以收集和处理更多数据，并向研究、政策和实践领域传播知识。这些协议将扩大研究界的参与，包括高效的本科生，同时培养他们的能力。研究界将进一步受益于由此产生的科学计划，该计划确保灾后观察为未来的研究及其转化为政策和实践提供信息，更有效地利用这一机会不仅学习而且根据所获得的知识采取行动。在灾害研究中，该项目将帮助社区变得更具复原力和可持续性。该项目将有助于美国国家科学基金会 (NSF) 在国家地震灾害减少计划 (NEHRP) 和国家风暴影响减少计划 (NWIRP) 中发挥作用。 ) ).这个项目将开发新的协议来提高 StEER 网络的效率，通过六个相互关联的目标的输出来实现，首先是：(1) 分层的区域数据收集模型，以实现更敏捷的现场响应，(2) 统一跨灾害和风险的结构评估的工作流程建筑类型，(3) 自动数据收集和合成的新能力，以及 (4) 损害量化方案，提供与既定评级系统兼容的更客观的性能评估，这四个目标的输出将增强网络的核心运营，以减少损失。数据收集/处理需求，提高效率并减少延迟，这反过来将使网络成员能够将更多的精力投入到深入的取证评估中，将这种学习反馈到通过添加 (5) 组成部分而形成的新传播渠道中。 - 重点侦察参与和通信中心。这与 (6) 将网络的发现与研究和技术转让机会联系起来的观察驱动的科学规划相结合，最终将形成更加连贯的自然灾害工程研究议程。帮忙翻译项目数据将在 NSF 支持的自然灾害工程研究基础设施 (NHERI) 数据仓库 (https://www.DesignSafe-ci.org) 中存档并公开。该奖项反映了 NSF 的贡献法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

期刊论文数量（3）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Hybrid Framework for Post-Hazard Building Performance Assessments with Application to Hurricanes

应用于飓风的灾后建筑性能评估混合框架

DOI：
发表时间：
2022-01
期刊：
Proceedings of the 14th Americas Conference on Wind Engineering
影响因子：
0
作者：
Roueche, D.B.;Nakayama, J.O.;Cetiner, B.M.;Sabarethinam, K.;Kijewski
通讯作者：
Kijewski

Hybrid Framework for Post-Hazard Building Performance Assessments with Application to Hurricanes

应用于飓风的灾后建筑性能评估混合框架

DOI：
发表时间：
2022-10
期刊：
Proceedings of the 14th Americas Conference on Wind Engineering
影响因子：
0
作者：
Roueche, D. B.;Nakayama, Jordan O.;Cetiner, Barbaros M.;Kameshwar, Sabarethinam;Kijewski
通讯作者：
Kijewski

Hybrid Framework for Post-Hazard Building Performance Assessments with Application to Hurricanes

应用于飓风的灾后建筑性能评估混合框架