CRISP: Type 1: Reductionist and Integrative Approaches to Improve the Resiliency of Multi-Scale Interdependent Critical Infrastructure

CRISP：类型 1：提高多尺度相互依赖的关键基础设施弹性的还原论和综合方法

• 批准号: 1541164
• 负责人: Quanyan Zhu
• 金额: $ 50万
• 依托单位: New York University
• 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 2021-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1541164&HistoricalAwards=false
• 关键词: CRISP; Type; Reductionist; Integrative; Approaches

Critical infrastructures are evolving to be more diverse and increasingly connected. The growing complexity creates convoluted dependencies and interdependencies between infrastructures arising from cyber-physical, geographical, supply-and-demand, and human-in-the-loop relationships between different components of the system. Understanding these interactions requires a reductionist and an integrative approach. The reductionist approach focuses on studying the characteristics of four fundamental classes of dependency links, while the integrative approach uses them as building blocks to establish a holistic network framework to capture the interdependencies of the infrastructure systems. This bottom-up methodology provides a systematic way to generate an integrated and multi-scale view of a system of systems, enabling the identification and quantitative characterization of unanticipated interdependencies through feedback loops. The overarching goal of this project is to improve the resiliency of interdependent infrastructures, enabling them to recover from disruptive events and disturbances within an acceptable amount of time and cost.The proposed research will expand the knowledge base of such interdependencies by adopting both reductionist and integration approach to create a bottom-up methodology to provide fundamental principles to understand interdependencies. The project aims to classify and characterize four fundamental classes of dependencies using principles from physical laws, communications theory, supply chain theory, and game and economic theory. In addition, the project will develop automated scalable vertical and horizontal compositional techniques to form a holistic interdependency network model to investigate the fundamental tradeoff between heterogeneous measures, and the tradeoff between pre-event and post-event measures. The analysis of these relationships will lead to an optimal design of a multi-scale resilience mechanism, which will be applied to case study scenarios of Staten Island during Superstorm Sandy and a nuclear power plan accident such as the one that occurred in Fukushima, Japan.

关键的基础设施正在发展为更加多样化和越来越多的联系。日益增长的复杂性创造了由网络物理，地理，供应和需求以及系统不同组成部分之间的网络物理，地理，供应和人类关系而产生的基础设施之间的复杂依赖性和相互依存关系。了解这些相互作用需要简化主义者和综合方法。还原主义的方法着重于研究四个基本依赖关系链接的特征，而综合方法则将它们用作构建基础来建立整体网络框架以捕获基础架构系统的相互依赖性。这种自下而上的方法提供了一种系统的方法来生成系统系统系统的集成和多规模视图，从而通过反馈循环实现了意外相互依存的识别和定量表征。该项目的总体目标是提高相互依存的基础架构的弹性，使它们能够在可接受的时间和成本中从破坏性事件和干扰中恢复过来。拟议的研究将扩大这种相互依存的知识库，通过采用还原主义和整合方法来创造自下而上的方法来提供基本的原则，以理解基本原则，以理解相互依赖性。 该项目旨在使用物理定律，沟通理论，供应链理论以及游戏和经济理论的原理对依赖关系进行分类和表征。此外，该项目将开发自动缩放的垂直和水平组成技术，以形成整体相互依存网络模型，以研究异质度量之间的基本权衡以及事前和事后措施之间的权衡。对这些关系的分析将导致多尺度弹性机制的最佳设计，该机制将应用于超级风暴桑迪期间史坦顿岛的案例研究场景，以及诸如日本福岛的核电计划事故。