CRISP Type 1: Multi-Scale Modeling Framework for the Assessment and Control of Resilient Interdependent Critical Infrastructure Systems

CRISP 类型 1：用于评估和控制弹性相互依赖的关键基础设施系统的多尺度建模框架

• 批准号: 1541074
• 负责人: Iris Tien
• 金额: $ 49.99万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-01 至 2019-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1541074&HistoricalAwards=false
• 关键词: CRISP; Type; Multi; Scale; Modeling

This project will create a novel modeling framework to assess and control interdependent critical infrastructure systems (ICIs). Infrastructure systems are critical to the functioning of our society, and the services they deliver form the backbone of the health, safety, and security of our nation. These systems are complex, comprised of many interdependent components. Further, these systems are interdependent, with the performance of one system dependent on the performance of one or more of the others. This leaves ICIs vulnerable to a variety of hazards, both natural and manmade. This project will study how to improve the resilience of these systems, with the recognition that achieving resilience will be a shared responsibility among stakeholders. At the same time, more and more data is becoming available to assess the states of ICIs both under normal conditions and over time.This project will take a multidisciplinary approach, integrating across engineering, computation, and policy to create a powerful stakeholder-driven framework that models ICIs across scales and utilizes data across sources to evaluate the current status of infrastructures and make predictions on their performance and reliability. The researchers will study three ICIs in particular: transportation, power, and communications infrastructure, applying the framework to the study of these ICIs in two specific communities, one urban and one rural. The framework will be created in conjunction with the development of new processes to achieve stakeholder buy-in and policy adoption to support integration of the new technology with policy. With fast algorithms to solve the models of the framework and real-time (or near-real-time) data collection capabilities, a powerful resilient infrastructure management system that can react, adapt, and even proactively take precautionary actions in anticipation of impending disasters is envisioned. The results of this project will also be integrated into extensive classroom and educational research activities, training the next generation of scientists, engineers, and policymakers on the importance of critical infrastructure resilience and in the development of new multi-disciplinary methods and tools to achieve resilience.

该项目将创建一个新颖的建模框架，以评估和控制相互依存的关键基础设施系统（ICIS）。基础设施系统对于我们社会的运作至关重要，并且他们提供的服务构成了我们国家的健康，安全和安全的骨干。这些系统很复杂，由许多相互依存的组件组成。此外，这些系统是相互依存的，一个系统的性能取决于另一个或多个系统的性能。这使ICIS容易受到自然和人造的各种危害。该项目将研究如何提高这些系统的弹性，并认识到实现韧性将是利益相关者的共同责任。同时，越来越多的数据在正常条件下和随着时间的流逝，以评估ICIS的状态。该项目将采用多学科的方法，跨工程，计算和政策整合，以创建一个强大的利益相关者驱动的框架，该框架对ICI进行建模ICI，并在范围跨尺度上建模并利用跨越来源的数据来评估其当前基础结构的状态，并可以预测其性能和可靠性和可靠性。研究人员将特别研究三个ICI：运输，权力和通信基础设施，将框架应用于两个特定社区的ICI研究，一个城市和一个乡村。该框架将与开发新流程一起创建，以实现利益相关者的支持和政策采用，以支持将新技术与政策集成的集成。使用快速算法来解决框架和实时（或接近实时）数据收集功能的模型，这是一种强大的弹性基础架构管理系统，可以预见到预期即将发生的灾难，可以反应，适应甚至主动采取预防措施。该项目的结果还将集成到广泛的课堂和教育研究活动中，培训下一代科学家，工程师和决策者关于关键基础设施弹性的重要性，以及开发新的多学科方法和工具以实现弹性。