SCC-PG: Tapping the Potential: Contribution of Non-Expert Citizens to Expediting the Functional Recovery of Civil Infrastructures Damaged by Extreme Events

SCC-PG：挖掘潜力：非专家公民对加快受极端事件损坏的民用基础设施功能恢复的贡献

• 批准号: 2125426
• 负责人: Behrouz Shafei
• 金额: $ 15万
• 依托单位: Iowa State University
• 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: 2021-10-01 至 2023-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2125426&HistoricalAwards=false
• 关键词: SCC; PG; Tapping; Potential; Contribution

Among the variety of efforts required to restore the functionality of civil infrastructure components (CICs) after natural disasters, rapid damage assessment is a critical task that helps residents, business owners, and emergency management authorities evaluate the extent of loss, and subsequently, secure the resources necessary for recovery at the earliest possible time. In reality, however, immediate access to enough professional crews trained for the inspection and condition assessment of CICs is not always possible, especially after a natural disaster that impacts a large geographic region. Consequently, the post-disaster safety and condition assessment of a vast number of buildings and other critical facilities can take several weeks to months, not only delaying the restoration of the community, but also incurring significant indirect losses due to disruptions in everyday activities. To address this critical issue, the proposed research plans to introduce a data-informed platform to systematically utilize the hidden capacity of the general public for the rapid damage assessment of CICs. The overarching goal of the proposed research activities is to engage those who have traditionally had no direct contribution to the safety and condition assessment of damaged CICs. For this purpose, the requirements necessary to establish a rigorous computational platform to evaluate human performance in the context of CIC damage assessment will be studied. Building on the capabilities of such a platform, investigations will also be performed to understand the technical and societal aspects of experiential learning methodologies appropriate for training the general public to perform rapid damage assessment activities. To ensure that a high-fidelity platform is delivered, the outcome of the individual tasks, as well as the entire platform, will be systematically verified and validated. Specifically, an array of community-of-practice activities have been planned to scale up the investigations and engage a diverse group of non-expert citizens. By creating a unique multidisciplinary opportunity to test the related hypotheses from both technical and social science perspectives, the outcome is expected to greatly facilitate mitigating the consequences of natural disasters, especially in vulnerable communities.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.

在自然灾害发生后恢复民用基础设施组件（CIC）功能所需的各种努力中，快速损失评估是一项关键任务，它可以帮助居民、企业主和应急管理部门评估损失程度，从而尽早获得恢复所需的资源。然而，实际上，并不总是能够立即获得足够多的经过培训的专业工作人员来进行 CIC 检查和状况评估，特别是在影响大片地理区域的自然灾害之后。因此，对大量建筑物和其他关键设施的灾后安全和状况评估可能需要数周至数月的时间，不仅延误了社区的恢复，而且还因日常活动中断而造成重大间接损失。为了解决这个关键问题，拟议的研究计划引入一个数据知情平台，系统地利用公众的隐藏能力来快速评估 CIC 的损害。拟议研究活动的总体目标是让那些传统上对受损 CIC 的安全和状况评估没有直接贡献的人参与进来。为此，将研究建立严格的计算平台以在 CIC 损害评估背景下评估人类表现所需的要求。基于这样一个平台的能力，还将进行调查，以了解适合培训公众进行快速损害评估活动的体验式学习方法的技术和社会方面。为了确保交付高保真平台，将对各个任务以及整个平台的结果进行系统验证和验证。具体来说，已经计划开展一系列实践社区活动，以扩大调查范围并吸引不同群体的非专家公民。通过创造一个独特的多学科机会，从技术和社会科学的角度检验相关假设，其结果预计将极大地促进减轻自然灾害的后果，特别是在脆弱社区。该奖项反映了 NSF 的法定使命，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

An overarching framework to assess the life-time resilience of deteriorating transportation networks in seismic-prone regions

评估地震多发地区日益恶化的交通网络的生命周期恢复能力的总体框架

• DOI: 10.1016/j.rcns.2022.07.002
• 发表时间: 2022
• 期刊: Resilient Cities and Structures
• 作者: Alipour, Alice;Shafei, Behrouz
• 通讯作者: Shafei, Behrouz

Flight characteristics of rod-shaped windborne debris objects in atmospheric boundary layer winds

棒状风载碎片物体在大气边界层风中的飞行特性

• DOI: 10.1016/j.jweia.2022.105073
• 发表时间: 2022
• 期刊: Journal of Wind Engineering and Industrial Aerodynamics
• 影响因子: 4.8
• 作者: Saini, Dikshant;Shafei, Behrouz
• 通讯作者: Shafei, Behrouz