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Efficient computing technique for reliability analysis of high-dimensional and low-failure probability problems using active learning method
16 references·0 citing·36 second hop
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References

  • 2011AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation2,048 cited
  • 1990Minimax and maximin distance designs1,452 cited
  • 2013Metamodel-based importance sampling for structural reliability analysis535 cited
  • 1992Random Vibration of Mechanical and Structural Systems493 cited
  • 1993Random vibration of mechanical and structural systems464 cited
  • 2011Assessing small failure probabilities by combined subset simulation and Support Vector Machines419 cited
  • 2016Assessing small failure probabilities by AK–SS: An active learning method combining Kriging and Subset Simulation412 cited
  • 2020Determine the Number of Unknown Targets in Open World Based on Elbow Method334 cited
  • 2019REIF: A novel active-learning function toward adaptive Kriging surrogate models for structural reliability analysis297 cited
  • 2017An efficient reliability method combining adaptive Support Vector Machine and Monte Carlo Simulation290 cited
  • 2018AK-MCSi: A Kriging-based method to deal with small failure probabilities and time-consuming models218 cited
  • 2018A novel projection outline based active learning method and its combination with Kriging metamodel for hybrid reliability analysis with random and interval variables155 cited
  • 2019An active learning reliability method combining Kriging constructed with exploration and exploitation of failure region and subset simulation153 cited

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  • 2019AKOIS: An adaptive Kriging oriented importance sampling method for structural system reliability analysis148 cited
  • 2018A combined projection-outline-based active learning Kriging and adaptive importance sampling method for hybrid reliability analysis with small failure probabilities144 cited
  • 2019Real-time estimation error-guided active learning Kriging method for time-dependent reliability analysis144 cited
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