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

关键基础设施正朝着更加多样化和互联互通的方向发展。日益增长的复杂性在基础设施之间产生了复杂的依赖关系和相互依赖关系，这些依赖关系来自网络物理、地理、供需以及系统不同组件之间的人在循环关系。理解这些相互作用需要一种简化和综合的方法。还原论方法侧重于研究四类基本依赖链接的特征，而整合方法则将它们作为构建块来建立一个整体网络框架，以捕获基础设施系统的相互依赖性。这种自底向上的方法提供了一种系统的方法来生成系统的系统的集成和多尺度视图，使通过反馈循环识别和定量表征意想不到的相互依赖性成为可能。该项目的总体目标是提高相互依赖的基础设施的弹性，使它们能够在可接受的时间和成本范围内从破坏性事件和干扰中恢复过来。本研究将通过采用简化和整合的方法来扩展这种相互依赖的知识基础，从而创建一种自下而上的方法来提供理解相互依赖的基本原则。该项目旨在利用物理定律、通信理论、供应链理论、博弈论和经济理论的原理，对四类基本依赖进行分类和表征。此外，该项目将开发自动化的可扩展垂直和水平组合技术，以形成一个整体的相互依赖网络模型，以调查异构度量之间的基本权衡，以及事件前和事件后度量之间的权衡。对这些关系的分析将导致多尺度弹性机制的优化设计，该机制将应用于史坦顿岛超级风暴桑迪和日本福岛核电站事故等核电计划事故的案例研究场景。

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.