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I-Corps: A Resilience Analytics Technology for Enhancing Seismic Rehabilitation Decision Making for Water Infrastructure Systems

I-Corps: A Resilience Analytics Technology for Enhancing Seismic Rehabilitation Decision Making for Water Infrastructure Systems
I-Corps:用于增强水基础设施系统地震恢复决策的弹性分析技术
批准号:
2220685
负责人:
Mohsen Shahandashti
金额:
$5.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-05-01 至 2023-10-31

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中文摘要
翻译
这个I-Corps项目的更广泛的影响/商业潜力是开发技术来评估,分析和报告水基础设施对灾害事件的恢复能力。美国的水基础设施包括超过220万英里的管道,其中大部分是地下的,数百万消费者看不到。这些管道大部分位于易受地震影响的地区。该项目的目标是这些关键地震区的水务设施(约占美国所有公用事业的四分之一)。作为潜在客户。这些水务公司必须面对其老化的水管网络及其承受自然和人为地震的能力的深刻不确定性。公用事业公司必须进行地震脆弱性评估,并确定其网络中应修复的关键管道。该项目可能有助于关键地震区的供水公司,这些公司需要对其供水基础设施系统做出艰难的恢复决定。这个I-Corps项目的基础是为高度不确定的环境开发水基础设施系统。尽管技术进步,水务管理人员对地震问题的理解往往有限。拟议中的弹性分析技术提供了一个软件应用程序,支持基于风险的强大决策分析算法,可以在几分钟内为城市级网络确定具有可控风险规避水平的最佳地震恢复政策。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,被认为值得支持。
英文摘要
The broader impact/commercial potential of this I-Corps project is the development of technology to assess, analyze, and report water infrastructure resilience to disaster events. U.S. water infrastructure comprises more than 2.2 million miles of pipes, most of which are underground and unseen by millions of consumers. A large proportion of these pipes are located in areas vulnerable to earthquakes. This project targets water utilities in these critical earthquake zones (around one-fourth of all utilities in the U.S.) as potential customers. These water utilities must confront deep uncertainties about their aging water pipe networks and their ability to sustain natural and human-induced earthquakes. The utilities have to conduct a seismic vulnerability assessment and identify critical pipes in their networks that should be rehabilitated. This project may help water utilities in critical earthquake zones that need to make difficult rehabilitation decisions about their water infrastructure system. This I-Corps project is based on the development of water infrastructure systems for a highly uncertain environment. Despite technological advances, water utility managers are often limited in their understanding of seismic concerns. The proposed resilience analytics technology provides a software application backed up with risk-based robust decision analytics algorithms to identify the best seismic rehabilitation policy with controllable risk aversion levels for a city-level network in a few minutes.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.
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海外基金