The resilience optimization of large infrastructure networks focuses on enhancing the ability of infrastructure systems to withstand, adapt to, and rapidly recover from disruptions. This field addresses the vulnerabilities of interconnected infrastructure components, such as transportation, utilities, and communication networks, to ensure they maintain functionality during and after adverse events. By leveraging advanced modeling techniques, data analytics, and innovative design strategies, researchers aim to develop robust frameworks that can predict potential failures, mitigate risks, and ensure the continuity of essential services. Dr. Roy and Director Dr. Shahandashti are leading research in this area, working to create infrastructure networks that are not only resilient but also capable of supporting sustainable and resilient communities.

Sample Publications

Effects of Degradation of Pipes on Seismic Rehabilitation Decision-Making for Water Distribution Networks

Identifying Pareto-optimal seismic rehabilitation strategies for water distribution networks considering decision maker’s risk attitudes

Effects of Network Uncertainty on Seismic Vulnerability Assessment of Water Pipe Networks

Topological surrogates for computationally efficient seismic robustness optimization of water pipe networks

Sample Reports and Videos

Resources
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Snowplow Operations Management System

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