Deep Learning for Accelerated Seismic Reliability Analysis of Transportation Networks

@article{Nabian2018DeepLF,
  title={Deep Learning for Accelerated Seismic Reliability Analysis of Transportation Networks},
  author={Mohammad Amin Nabian and H. Meidani},
  journal={Comput. Aided Civ. Infrastructure Eng.},
  year={2018},
  volume={33},
  pages={443-458}
}
  • Mohammad Amin Nabian, H. Meidani
  • Published 2018
  • Engineering, Mathematics, Computer Science
  • Comput. Aided Civ. Infrastructure Eng.
  • Natural disasters can have catastrophic impacts on the functionality of infrastructure systems and cause severe physical and socio-economic losses. Given budget constraints, it is crucial to optimize decisions regarding mitigation, preparedness, response, and recovery practices for these systems. This requires accurate and efficient means to evaluate the infrastructure system reliability. While numerous research efforts have addressed and quantified the impact of natural disasters on… CONTINUE READING

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 81 REFERENCES
    A two-stage stochastic programming model for transportation network protection
    • 138
    • PDF