Abstract
For the life-cycle design of bridges, it is of significance to establish and update the probabilistic model. However, for the current situation of practical engineering, popularizing data acquisition equipments to collect long-term data could not meet the facts. The Monte Carlo simulation is utilized to simulate the prior samples and expand the sample size. The Bayesian method is adopted to update the sectional distribution. A mathematical example based on self programming is given to illustrate the method. The results show that: the cooperation of the Bayesian method and Monte Carlo simulation could update the short-term vehicle load model. The method is of good reliability and serviceability which could be references for further studies.
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