A stochastic model updating method for parameter variability quantification based on response surface models and Monte Carlo simulation

► A stochastic model updating process is decomposed into numerous deterministic ones. ► Original FE models are replaced by response surface models for fast computation. ► Monte Carlo simulation is used for generating numerical response samples. ► Parameter variability is statistically estimated on all deterministic predictions. ► Analysis of variance is used to evaluate parameter uncertainty significance.