Probabilistic analysis of pile foundations using Monte Carlo and Subset simulations compared with FOSM-based hybrid ANN paradigm
Subodh Kumar Suman,
Avijit Burman,
Shiva Shankar Choudhary
Abstract:The presence of uncertainty and variability in soil and sub-soils is a fundamental aspect of pile design. Thus, extensive study has been conducted to accurately measure the reliability or likelihood of structural failure. This work investigates the suitability of Monte Carlo and Subset simulations for the risk assessment of piles. In addition, First-order second-moment method (FOSM)-based hybrid artificial neural network (ANN) frameworks were used. Specifically, five hybrid ANNs were constructed using swarm in… Show more
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