Abstract: The concrete code for the column shear-capacity design of a structure is gained through simi-empirical and semi theoretical. However, due to the limited test data and its own characteristics of a concrete structure, standardize formula cannot cover all the columns of shear calculations. Thusly, the thought of dynamic information updates based on Bayesian approach was introduced. A Bayesian prior model is proposed based on the epistemic information from the empirical formula. Two types of the information, the epistemic information and the experimental information, are synthesized by the Bayesian approach and inferred to update the prior model. And the probabilistic models for shear capacities of reinforced concrete column are constructed and unknown model parameters are estimated. Then modify the models and construct the new ones. Though the values of the prior model, posterior model and experiments are calculated and compared, the advantages of updating Bayesian dynamic information can be seen. The approach inherits the completeness of the prior model and the accuracy of number of experimental data information. Thus it can more accurately predict and verify the shear strength of concrete columns.