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

关键基础设施正在发展，变得更加多样化，连接性越来越强。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，这些依赖关系和相互依赖关系来自系统不同组件之间的网络物理、地理、供需和人在环关系。理解这些相互作用需要一种还原论和综合的方法。简化方法侧重于研究四个基本类的依赖关系的特点，而综合方法使用它们作为构建块，建立一个整体的网络框架，以捕捉基础设施系统的相互依赖性。这种自下而上的方法提供了一种系统的方式来生成一个系统的系统的综合和多尺度的视图，从而能够通过反馈回路识别和定量描述意外的相互依赖关系。本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内从破坏性事件和干扰中恢复过来。拟议的研究将通过采用简化和集成方法来创建一个自下而上的方法来提供理解相互依赖性的基本原则，从而扩展这种相互依赖性的知识基础。 该项目旨在使用物理定律，通信理论，供应链理论以及博弈和经济理论的原则对四种基本的依赖关系进行分类和表征。此外，该项目将开发自动化可扩展的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，以研究异构测量之间的基本权衡以及事件前和事件后测量之间的权衡。这些关系的分析将导致一个多尺度弹性机制的最佳设计，这将被应用到案例研究的情况下，史坦顿岛在超级风暴桑迪和核电计划事故，如一个发生在日本福岛。

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.