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Abstract for presentation (Poster or Podium) with a Paper in the Conference Proceedings

Sustainable Transportation & Urban Development

Proactive Seismic Rehabilitation of a Road Network Considering Assets’ Performance Uncertainties

Sunday, June 16, 2024

3:00 PM - 4:15 PM ET

Room: Galleria

Primary Author(s)

Abhijit Roy, PhD

Post-Doctoral Research Associate
University of Texas at Arlington
Arlington, TX, United States

Co-Author(s)

Mohsen Shahandashti, Ph.D., P.E.

Associate Professor
The University of Texas at Arlington
Arlington, Texas, United States

Submitter(s)

Abhijit Roy, PhD

Post-Doctoral Research Associate
University of Texas at Arlington
Arlington, TX, United States

Abstract: The functionality of a road network is disturbed by seismic events. The disturbance in the road network is associated with damage to the network’s concrete assets (e.g., pavement, bridge) and unexpected changes to the network’s functionality. Proactive road network rehabilitation helps reduce damage to the network’s concrete assets and prevent unexpected changes in network functionality due to seismic events. However, all concrete assets cannot be rehabilitated at once due to the limited availability of rehabilitation resources. This research aims to identify the optimal combination of a network’s concrete assets that should be proactively rehabilitated to reduce the changes to the road network’s functionality when limited resources are available for rehabilitation. The analysis was conducted in three stages: characterizing concrete assets’ performance uncertainties, estimating the pre- and post-disaster road network’s functionality using traffic simulation, and formulating and solving a stochastic combinatorial optimization problem to identify the optimal combination of a network’s concrete assets. A road network located in California was selected for this study. Probabilistic seismic fragility functions were used to identify all critical road network concrete assets (e.g., pavement, bridge) and their associated failure probabilities subject to seismic events. Traffic simulation was performed to calculate the changes in functionality due to the damage to identified critical concrete assets. Simulation of Urban Mobility (SUMO), an open-source software, was used to conduct the traffic simulation. A simulated annealing (SA) based optimization algorithm was used to solve the optimization problem and identify the optimal combination of road network assets. This study supports optimal resource allocation for road network seismic rehabilitation, which is essential for post-disaster transportation infrastructure safety and efficiency.

Learning Objectives:

Attendees can expect to learn the following from this session:

Upon completion, participants will be able to understand quantitative risk assessment approaches for assessing the vulnerability of concrete-based transportation assets and determining impacts on transportation networks and asset management programs.
This research aims to identify the optimal combination of a network’s concrete assets that should be proactively rehabilitated to reduce unexpected changes to the road network’s functionality.
This study supports optimal resource allocation for road network seismic rehabilitation, which is essential for post-disaster transportation infrastructure safety and efficiency.