• investigation of parameter uncertainty in liquefaction probability based on meta -heuristic algorithms and bayesian mapping function

    جزئیات بیشتر مقاله
    • تاریخ ارائه: 1395/01/01
    • تاریخ انتشار در تی پی بین: 1395/01/01
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     liquefaction evaluation methods in sandy soils is generally based on the deterministic analysis. in the deterministic approach, certain and non-dispersion parameters are considered. furthermore, in these methods, establishment of exact correlation between the probability of liquefaction (pl) and the factor of safety (fs) is not possible. this problem is solved using the reliability analysis. in this paper, effect of the parameter uncertainty in liquefaction probability, based on the gene expression programming (gep) model for liquefaction resistance and potential evaluation based on standard penetration test (spt) is investigated. in order to verify the model, gep results are compared with the results based on idriss and boulanger approach (2010). then, first-order reliability method (form) by using a hybrid of particle swarm optimization and genetic algorithm (pso-ga) in matlab2013a, as a robust optimization method is used to determine the reliability index (β). bayesian mapping function is utilized to infer the relationship between probability of liquefaction and reliability index. finally, effect of the level of parameter uncertainty on the liquefaction probability by development the bayesian mapping functions, are investigated by using the β-pl curves.

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