Interdependent Response of Complex Urban Infrastructures Subjected to Multiple Hazards

现代城市的加速发展对支撑当代技术、社会和经济活力的相互依赖的城市基础设施提出了独特的挑战。 电网、配水网络和电信系统等可再生能源结构的规模和复杂性正在以一种无法理解这种快速演变对其功能和弹性的影响的速度增长。 如果发生自然灾害或人为干扰，城市基础设施就会成为干扰的对象和迅速恢复的手段。 这种双重角色要求理解的机制，使故障传播内和跨城市系统，可以采取的战略，以改善其剩余功能和恢复时间在不可预见的中断事件。 因此，该项目旨在为相互依赖的城市基础设施开发高保真模型，以捕捉级联故障和相互依赖性。 所采用的方法将同时对网络拓扑、内部流模式以及支持跨不同系统交互的路径进行建模。 这些模型将能够量化全球相互依存的影响，并有助于优先考虑干预行动，以改善冗余，并在发生中断时加速城市恢复。 相互依赖的优化，这需要多个目标和约束的协调，将产生最理想的社会技术战略。该项目还支持新一代土木工程师的系统级思维的概念。 新课程？复杂的城市系统？在莱斯大学，并引导参观得克萨斯州休斯顿市的公用事业，将为学生提供机会，从事现代问题为基础的学习策略。 该项目还将为对城市基础设施感兴趣的本科生创造丰富的夏季体验，并致力于网络数据挖掘和相互依赖的故障分析问题。 由于城市系统涉及多种人口，因此预计文化和种族多样的实习生群体将为他们的分析带来独特的视角和见解。 该项目还将利用NSF资助的中美洲地震中心的成功，为MAEviz中心的网络分析模块提供新的工具。的地震影响评估软件包，今天使用的城市风险分析师，城市规划师和应急管理人员。 此外，相互依赖的基础设施分析框架将在技术先进的相互依赖的生命线系统的网络安全评估中得到应用。

The accelerated growth of modern cities is creating unique challenges to the interdependent urban infrastructures that support contemporary technical, social, and economic vitality. Infrastructures such as power grids, water distribution networks, and telecommunication systems are growing in size and complexity at a pace that prevents understanding the effects of this rapid evolution on their functionality and resilience. If natural hazards or human-induced disruptions strike, urban infrastructures become the object of the perturbation and the means for prompt recovery. This dual role demands understanding of the mechanisms that enable failure propagation within and across urban systems, and the strategies that can be adopted to improve their residual functionality and recovery time in the event of unforeseen disruptions. Hence, this project aims at developing high fidelity models for interdependent urban infrastructures that can capture cascading failures and interdependencies. The adopted approach will simultaneously model network topology, internal flow patterns, and the pathways that support interaction across different systems. These models will be able to quantify global interdependent effects, and help prioritizing intervention actions to improve redundancy and accelerate urban recovery if disruptions occur. Interdependent optimization, which requires coordination of multiple objectives and constraints, will yield the most desirable socio-technical strategies.This project also supports the concept of system-level thinking for the new generation of civil engineers. A new course on ?Complex Urban Systems? at Rice University, and guided-visits to utilities of the city of Houston, Texas, will provide students the opportunity to engage in modern problem-based learning strategies. This project will also create an enriched summer experience for undergraduate students interested in urban infrastructures and working on network data mining and interdependent failure analysis problems. Since urban systems reach multiple demographics, a culturally and ethnic diverse pool of interns is expected to bring in unique perspectives and insights for their analysis. This project will also leverage the successes of the NSF-funded Mid-America Earthquake Center by providing new tools for the network analysis modules of MAEviz, the Center?s seismic impact assessment software package used today by urban risk analysts, city planners, and emergency managers. Also, interdependent infrastructure analysis frameworks will find applications in cybersecurity assessment of technologically advanced interdependent lifeline systems.