Graph Neural Network Surrogate for Seismic Reliability Analysis of Highway Bridge Systems

arXiv:2210.06404v2 Announce Type: replace
Abstract: Rapid reliability assessment of transportation networks can enhance preparedness, risk mitigation, and response management procedures related to these systems. Network reliability analysis commonly considers network-level performance and does not consider the more detailed node-level responses due to computational cost. In this paper, we propose a rapid seismic reliability assessment approach for bridge networks based on graph neural networks, where node-level connectivities, between points of interest and other nodes, are evaluated under probabilistic seismic scenarios. Via …

abstract analysis arxiv assessment bridge computational cost cs.lg graph graph neural network management network networks neural network node paper performance reliability responses risk seismic systems transportation type