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

自然灾害事件，如地震，飓风和龙卷风，可以夺去不可替代的生命，并对全国社区造成数十亿美元的损失，对美国经济以及公民的安全和福祉产生连锁反应。不幸的是，这些损失只会越来越多。减少灾害造成的损失关键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迅速为新的监管政策和建设实践提供信息，指导更具复原力的恢复和重建。该奖项将扩大结构极端事件侦察（StEER）网络在这些努力中的作用，从自然灾害中学习。该项目将简化网络的核心业务，支持志愿工程师收集和处理宝贵的灾后数据。与此同时，该项目将制定新的协议，以便更有效地收集和处理数据，并向研究、政策和实践领域的支持者传播知识。这些协议将扩大研究界的参与，包括本科生，同时建设他们获得高质量法医数据的能力。研究界将进一步受益于由此产生的科学计划，该计划确保灾后观测为未来的研究提供信息，并将其转化为政策和实践。通过更有效地利用这个机会，不仅学习，而且根据在灾害研究中获得的知识采取行动，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）中的作用。该项目将制定新的协议，通过六个相互关联的目标的产出来提高StEER网络的效率，首先是：（1）一个分层的区域数据收集模型，用于更灵活的现场响应，（2）一个统一灾害和建筑类型结构评估的工作流程，（3）自动数据收集和综合的新能力，（4）损害量化方案，提供与已建立的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操作，以减少数据收集/处理需求，提高效率并减少延迟。这反过来又将使网络的成员能够将更多的精力用于深入的法医评估，将这种学习纳入新的传播渠道，通过增加（5）一个以成员为中心的侦察参与和通信中心形成。与此相结合的是（6）观测驱动的科学规划，将网络的发现与研究和技术转让机会联系起来。总的来说，这将导致一个更连贯的自然灾害工程研究议程，并最终将有助于将下一代减灾战略转化为实践。项目数据将在NSF支持的自然灾害工程研究基础设施（NHERI）数据库（https：//www.example.com）中存档并公开提供。该奖项反映了NSF的法定使命，并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而被认为值得支持。www.DesignSafe-ci.org

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.