Deep Learning for Accelerated Seismic Reliability Analysis of Transportation Networks

  title={Deep Learning for Accelerated Seismic Reliability Analysis of Transportation Networks},
  author={Mohammad Amin Nabian and Hadi Meidani},
  journal={Computer‐Aided Civil and Infrastructure Engineering},
  • M. A. NabianH. Meidani
  • Published 28 August 2017
  • Computer Science
  • Computer‐Aided Civil and Infrastructure Engineering
To optimize mitigation, preparedness, response, and recovery procedures for infrastructure systems, it is essential to use accurate and efficient means to evaluate system reliability against probabilistic events. The predominant approach to quantify the impact of natural disasters on infrastructure systems is the Monte Carlo approach, which still suffers from high computational cost, especially when applied to large systems. This article presents a deep learning framework for accelerating… 

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